diff --git a/output/.amlignore b/output/.amlignore
new file mode 100644
index 0000000000000000000000000000000000000000..0621f9fcbbf37e2d3e52eac0524926835e9cd609
--- /dev/null
+++ b/output/.amlignore
@@ -0,0 +1,6 @@
+## This file was auto generated by the Azure Machine Learning Studio. Please do not remove. 
+## Read more about the .amlignore file here: https://docs.microsoft.com/azure/machine-learning/how-to-save-write-experiment-files#storage-limits-of-experiment-snapshots
+        
+.ipynb_aml_checkpoints/ 
+*.amltmp 
+*.amltemp
\ No newline at end of file
diff --git a/output/.amlignore.amltmp b/output/.amlignore.amltmp
new file mode 100644
index 0000000000000000000000000000000000000000..0621f9fcbbf37e2d3e52eac0524926835e9cd609
--- /dev/null
+++ b/output/.amlignore.amltmp
@@ -0,0 +1,6 @@
+## This file was auto generated by the Azure Machine Learning Studio. Please do not remove. 
+## Read more about the .amlignore file here: https://docs.microsoft.com/azure/machine-learning/how-to-save-write-experiment-files#storage-limits-of-experiment-snapshots
+        
+.ipynb_aml_checkpoints/ 
+*.amltmp 
+*.amltemp
\ No newline at end of file
diff --git a/output/coco_instances_results.json b/output/coco_instances_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..02aeb790c1a7d66baaa03f428f811ca6a89083d3
--- /dev/null
+++ b/output/coco_instances_results.json
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+## This file was auto generated by the Azure Machine Learning Studio. Please do not remove. 
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+{"data_time": 0.003774750500042501, "eta_seconds": 28.341172410000013, "fast_rcnn/cls_accuracy": 0.9609375, "fast_rcnn/false_negative": 0.0909273384183059, "fast_rcnn/fg_cls_accuracy": 0.9090726615816941, "iteration": 639, "loss_box_reg": 0.34963221848011017, "loss_cls": 0.09068389981985092, "loss_mask": 0.26804107427597046, "loss_rpn_cls": 0.00014200226360117085, "loss_rpn_loc": 0.005448742303997278, "lr": 0.0002282360714285714, "mask_rcnn/accuracy": 0.8775792158968851, "mask_rcnn/false_negative": 0.10489048606032358, "mask_rcnn/false_positive": 0.10744412481047477, "rank_data_time": 0.003774750500042501, "roi_head/num_bg_samples": 105.5, "roi_head/num_fg_samples": 22.5, "rpn/num_neg_anchors": 252.0, "rpn/num_pos_anchors": 4.0, "time": 0.4801362759999961, "total_loss": 0.6811140962417994}
+{"data_time": 0.0037574989999598074, "eta_seconds": 18.906593780002368, "fast_rcnn/cls_accuracy": 0.9765625, "fast_rcnn/false_negative": 0.02976190476190476, "fast_rcnn/fg_cls_accuracy": 0.9702380952380952, "iteration": 659, "loss_box_reg": 0.3263367563486099, "loss_cls": 0.07194223999977112, "loss_mask": 0.2339535728096962, "loss_rpn_cls": 0.0004467820399440825, "loss_rpn_loc": 0.0043211220763623714, "lr": 0.00023537178571428571, "mask_rcnn/accuracy": 0.9021452649937527, "mask_rcnn/false_negative": 0.06219509637747318, "mask_rcnn/false_positive": 0.13375419509608683, "rank_data_time": 0.0037574989999598074, "roi_head/num_bg_samples": 103.75, "roi_head/num_fg_samples": 24.25, "rpn/num_neg_anchors": 252.5, "rpn/num_pos_anchors": 3.5, "time": 0.49909540000004426, "total_loss": 0.6329523352433171}
+{"data_time": 0.003719019500010745, "eta_seconds": 9.485387899999864, "fast_rcnn/cls_accuracy": 0.97265625, "fast_rcnn/false_negative": 0.03636363636363636, "fast_rcnn/fg_cls_accuracy": 0.9636363636363636, "iteration": 679, "loss_box_reg": 0.2916136831045151, "loss_cls": 0.07375189661979675, "loss_mask": 0.22963782399892807, "loss_rpn_cls": 0.0001364198215014767, "loss_rpn_loc": 0.004528183490037918, "lr": 0.0002425075, "mask_rcnn/accuracy": 0.9006619693331879, "mask_rcnn/false_negative": 0.08419422338227124, "mask_rcnn/false_positive": 0.09890928577797264, "rank_data_time": 0.003719019500010745, "roi_head/num_bg_samples": 103.5, "roi_head/num_fg_samples": 24.5, "rpn/num_neg_anchors": 252.0, "rpn/num_pos_anchors": 4.0, "time": 0.49581496399997604, "total_loss": 0.5947251487095855}
+{"data_time": 0.0036555955000494578, "eta_seconds": 0.0, "fast_rcnn/cls_accuracy": 0.970703125, "fast_rcnn/false_negative": 0.04759238521836506, "fast_rcnn/fg_cls_accuracy": 0.9524076147816349, "iteration": 699, "loss_box_reg": 0.34924399852752686, "loss_cls": 0.07985235005617142, "loss_mask": 0.2603085786104202, "loss_rpn_cls": 0.0002162159507861361, "loss_rpn_loc": 0.0037820005090907216, "lr": 0.0002496432142857143, "mask_rcnn/accuracy": 0.8874811172654838, "mask_rcnn/false_negative": 0.07525232302621448, "mask_rcnn/false_positive": 0.1470583007793267, "rank_data_time": 0.0036555955000494578, "roi_head/num_bg_samples": 104.0, "roi_head/num_fg_samples": 24.0, "rpn/num_neg_anchors": 252.25, "rpn/num_pos_anchors": 3.75, "time": 0.4988589929999989, "total_loss": 0.6833331358084251}
diff --git a/output/model_final.pth b/output/model_final.pth
new file mode 100644
index 0000000000000000000000000000000000000000..dc44c581f2261f51b82c0b6e80327f7cb0fe2638
--- /dev/null
+++ b/output/model_final.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c95240eaa0e6cea4e12a2d6c686b9e9840a5d6224d3bbf869ebf1fc31f46fef5
+size 1835008
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/.amlignore b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/.amlignore
new file mode 100644
index 0000000000000000000000000000000000000000..0621f9fcbbf37e2d3e52eac0524926835e9cd609
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/.amlignore
@@ -0,0 +1,6 @@
+## This file was auto generated by the Azure Machine Learning Studio. Please do not remove. 
+## Read more about the .amlignore file here: https://docs.microsoft.com/azure/machine-learning/how-to-save-write-experiment-files#storage-limits-of-experiment-snapshots
+        
+.ipynb_aml_checkpoints/ 
+*.amltmp 
+*.amltemp
\ No newline at end of file
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/.amlignore.amltmp b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/.amlignore.amltmp
new file mode 100644
index 0000000000000000000000000000000000000000..0621f9fcbbf37e2d3e52eac0524926835e9cd609
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/.amlignore.amltmp
@@ -0,0 +1,6 @@
+## This file was auto generated by the Azure Machine Learning Studio. Please do not remove. 
+## Read more about the .amlignore file here: https://docs.microsoft.com/azure/machine-learning/how-to-save-write-experiment-files#storage-limits-of-experiment-snapshots
+        
+.ipynb_aml_checkpoints/ 
+*.amltmp 
+*.amltemp
\ No newline at end of file
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth
new file mode 100644
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--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:feafe56f2d16a143ef5e4cd4abda1b91212d942621ed5b45c7cade7d75093e90
+size 262144
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/final_state.pth b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/final_state.pth
new file mode 100644
index 0000000000000000000000000000000000000000..e660104d7fdf7bf56340b094ae90972c4a06655b
--- /dev/null
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c389da81862e598de22688eae4b4e7fd1336a638c99b0bca7c0cf144cb1612e8
+size 262144
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
new file mode 100644
index 0000000000000000000000000000000000000000..f3a467510b9b509365516cfec70dfbe1c2e622eb
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:99b9bc4d1805ae42c66b93c871a6e898b9b65e813c1819322e81e6f3abd78210
+size 262144
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/pose_hrnet.py b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/pose_hrnet.py
new file mode 100644
index 0000000000000000000000000000000000000000..09ff346a1b20ca9e9078714132c01123d1b0b4b1
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/pose_hrnet.py
@@ -0,0 +1,501 @@
+# ------------------------------------------------------------------------------
+# Copyright (c) Microsoft
+# Licensed under the MIT License.
+# Written by Bin Xiao (Bin.Xiao@microsoft.com)
+# ------------------------------------------------------------------------------
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import os
+import logging
+
+import torch
+import torch.nn as nn
+
+
+BN_MOMENTUM = 0.1
+logger = logging.getLogger(__name__)
+
+
+def conv3x3(in_planes, out_planes, stride=1):
+    """3x3 convolution with padding"""
+    return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
+                     padding=1, bias=False)
+
+
+class BasicBlock(nn.Module):
+    expansion = 1
+
+    def __init__(self, inplanes, planes, stride=1, downsample=None):
+        super(BasicBlock, self).__init__()
+        self.conv1 = conv3x3(inplanes, planes, stride)
+        self.bn1 = nn.BatchNorm2d(planes, momentum=BN_MOMENTUM)
+        self.relu = nn.ReLU(inplace=True)
+        self.conv2 = conv3x3(planes, planes)
+        self.bn2 = nn.BatchNorm2d(planes, momentum=BN_MOMENTUM)
+        self.downsample = downsample
+        self.stride = stride
+
+    def forward(self, x):
+        residual = x
+
+        out = self.conv1(x)
+        out = self.bn1(out)
+        out = self.relu(out)
+
+        out = self.conv2(out)
+        out = self.bn2(out)
+
+        if self.downsample is not None:
+            residual = self.downsample(x)
+
+        out += residual
+        out = self.relu(out)
+
+        return out
+
+
+class Bottleneck(nn.Module):
+    expansion = 4
+
+    def __init__(self, inplanes, planes, stride=1, downsample=None):
+        super(Bottleneck, self).__init__()
+        self.conv1 = nn.Conv2d(inplanes, planes, kernel_size=1, bias=False)
+        self.bn1 = nn.BatchNorm2d(planes, momentum=BN_MOMENTUM)
+        self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=stride,
+                               padding=1, bias=False)
+        self.bn2 = nn.BatchNorm2d(planes, momentum=BN_MOMENTUM)
+        self.conv3 = nn.Conv2d(planes, planes * self.expansion, kernel_size=1,
+                               bias=False)
+        self.bn3 = nn.BatchNorm2d(planes * self.expansion,
+                                  momentum=BN_MOMENTUM)
+        self.relu = nn.ReLU(inplace=True)
+        self.downsample = downsample
+        self.stride = stride
+
+    def forward(self, x):
+        residual = x
+
+        out = self.conv1(x)
+        out = self.bn1(out)
+        out = self.relu(out)
+
+        out = self.conv2(out)
+        out = self.bn2(out)
+        out = self.relu(out)
+
+        out = self.conv3(out)
+        out = self.bn3(out)
+
+        if self.downsample is not None:
+            residual = self.downsample(x)
+
+        out += residual
+        out = self.relu(out)
+
+        return out
+
+
+class HighResolutionModule(nn.Module):
+    def __init__(self, num_branches, blocks, num_blocks, num_inchannels,
+                 num_channels, fuse_method, multi_scale_output=True):
+        super(HighResolutionModule, self).__init__()
+        self._check_branches(
+            num_branches, blocks, num_blocks, num_inchannels, num_channels)
+
+        self.num_inchannels = num_inchannels
+        self.fuse_method = fuse_method
+        self.num_branches = num_branches
+
+        self.multi_scale_output = multi_scale_output
+
+        self.branches = self._make_branches(
+            num_branches, blocks, num_blocks, num_channels)
+        self.fuse_layers = self._make_fuse_layers()
+        self.relu = nn.ReLU(True)
+
+    def _check_branches(self, num_branches, blocks, num_blocks,
+                        num_inchannels, num_channels):
+        if num_branches != len(num_blocks):
+            error_msg = 'NUM_BRANCHES({}) <> NUM_BLOCKS({})'.format(
+                num_branches, len(num_blocks))
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+
+        if num_branches != len(num_channels):
+            error_msg = 'NUM_BRANCHES({}) <> NUM_CHANNELS({})'.format(
+                num_branches, len(num_channels))
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+
+        if num_branches != len(num_inchannels):
+            error_msg = 'NUM_BRANCHES({}) <> NUM_INCHANNELS({})'.format(
+                num_branches, len(num_inchannels))
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+
+    def _make_one_branch(self, branch_index, block, num_blocks, num_channels,
+                         stride=1):
+        downsample = None
+        if stride != 1 or \
+           self.num_inchannels[branch_index] != num_channels[branch_index] * block.expansion:
+            downsample = nn.Sequential(
+                nn.Conv2d(
+                    self.num_inchannels[branch_index],
+                    num_channels[branch_index] * block.expansion,
+                    kernel_size=1, stride=stride, bias=False
+                ),
+                nn.BatchNorm2d(
+                    num_channels[branch_index] * block.expansion,
+                    momentum=BN_MOMENTUM
+                ),
+            )
+
+        layers = []
+        layers.append(
+            block(
+                self.num_inchannels[branch_index],
+                num_channels[branch_index],
+                stride,
+                downsample
+            )
+        )
+        self.num_inchannels[branch_index] = \
+            num_channels[branch_index] * block.expansion
+        for i in range(1, num_blocks[branch_index]):
+            layers.append(
+                block(
+                    self.num_inchannels[branch_index],
+                    num_channels[branch_index]
+                )
+            )
+
+        return nn.Sequential(*layers)
+
+    def _make_branches(self, num_branches, block, num_blocks, num_channels):
+        branches = []
+
+        for i in range(num_branches):
+            branches.append(
+                self._make_one_branch(i, block, num_blocks, num_channels)
+            )
+
+        return nn.ModuleList(branches)
+
+    def _make_fuse_layers(self):
+        if self.num_branches == 1:
+            return None
+
+        num_branches = self.num_branches
+        num_inchannels = self.num_inchannels
+        fuse_layers = []
+        for i in range(num_branches if self.multi_scale_output else 1):
+            fuse_layer = []
+            for j in range(num_branches):
+                if j > i:
+                    fuse_layer.append(
+                        nn.Sequential(
+                            nn.Conv2d(
+                                num_inchannels[j],
+                                num_inchannels[i],
+                                1, 1, 0, bias=False
+                            ),
+                            nn.BatchNorm2d(num_inchannels[i]),
+                            nn.Upsample(scale_factor=2**(j-i), mode='nearest')
+                        )
+                    )
+                elif j == i:
+                    fuse_layer.append(None)
+                else:
+                    conv3x3s = []
+                    for k in range(i-j):
+                        if k == i - j - 1:
+                            num_outchannels_conv3x3 = num_inchannels[i]
+                            conv3x3s.append(
+                                nn.Sequential(
+                                    nn.Conv2d(
+                                        num_inchannels[j],
+                                        num_outchannels_conv3x3,
+                                        3, 2, 1, bias=False
+                                    ),
+                                    nn.BatchNorm2d(num_outchannels_conv3x3)
+                                )
+                            )
+                        else:
+                            num_outchannels_conv3x3 = num_inchannels[j]
+                            conv3x3s.append(
+                                nn.Sequential(
+                                    nn.Conv2d(
+                                        num_inchannels[j],
+                                        num_outchannels_conv3x3,
+                                        3, 2, 1, bias=False
+                                    ),
+                                    nn.BatchNorm2d(num_outchannels_conv3x3),
+                                    nn.ReLU(True)
+                                )
+                            )
+                    fuse_layer.append(nn.Sequential(*conv3x3s))
+            fuse_layers.append(nn.ModuleList(fuse_layer))
+
+        return nn.ModuleList(fuse_layers)
+
+    def get_num_inchannels(self):
+        return self.num_inchannels
+
+    def forward(self, x):
+        if self.num_branches == 1:
+            return [self.branches[0](x[0])]
+
+        for i in range(self.num_branches):
+            x[i] = self.branches[i](x[i])
+
+        x_fuse = []
+
+        for i in range(len(self.fuse_layers)):
+            y = x[0] if i == 0 else self.fuse_layers[i][0](x[0])
+            for j in range(1, self.num_branches):
+                if i == j:
+                    y = y + x[j]
+                else:
+                    y = y + self.fuse_layers[i][j](x[j])
+            x_fuse.append(self.relu(y))
+
+        return x_fuse
+
+
+blocks_dict = {
+    'BASIC': BasicBlock,
+    'BOTTLENECK': Bottleneck
+}
+
+
+class PoseHighResolutionNet(nn.Module):
+
+    def __init__(self, cfg, **kwargs):
+        self.inplanes = 64
+        extra = cfg['MODEL']['EXTRA']
+        super(PoseHighResolutionNet, self).__init__()
+
+        # stem net
+        self.conv1 = nn.Conv2d(3, 64, kernel_size=3, stride=2, padding=1,
+                               bias=False)
+        self.bn1 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
+        self.conv2 = nn.Conv2d(64, 64, kernel_size=3, stride=2, padding=1,
+                               bias=False)
+        self.bn2 = nn.BatchNorm2d(64, momentum=BN_MOMENTUM)
+        self.relu = nn.ReLU(inplace=True)
+        self.layer1 = self._make_layer(Bottleneck, 64, 4)
+
+        self.stage2_cfg = extra['STAGE2']
+        num_channels = self.stage2_cfg['NUM_CHANNELS']
+        block = blocks_dict[self.stage2_cfg['BLOCK']]
+        num_channels = [
+            num_channels[i] * block.expansion for i in range(len(num_channels))
+        ]
+        self.transition1 = self._make_transition_layer([256], num_channels)
+        self.stage2, pre_stage_channels = self._make_stage(
+            self.stage2_cfg, num_channels)
+
+        self.stage3_cfg = extra['STAGE3']
+        num_channels = self.stage3_cfg['NUM_CHANNELS']
+        block = blocks_dict[self.stage3_cfg['BLOCK']]
+        num_channels = [
+            num_channels[i] * block.expansion for i in range(len(num_channels))
+        ]
+        self.transition2 = self._make_transition_layer(
+            pre_stage_channels, num_channels)
+        self.stage3, pre_stage_channels = self._make_stage(
+            self.stage3_cfg, num_channels)
+
+        self.stage4_cfg = extra['STAGE4']
+        num_channels = self.stage4_cfg['NUM_CHANNELS']
+        block = blocks_dict[self.stage4_cfg['BLOCK']]
+        num_channels = [
+            num_channels[i] * block.expansion for i in range(len(num_channels))
+        ]
+        self.transition3 = self._make_transition_layer(
+            pre_stage_channels, num_channels)
+        self.stage4, pre_stage_channels = self._make_stage(
+            self.stage4_cfg, num_channels, multi_scale_output=False)
+
+        self.final_layer = nn.Conv2d(
+            in_channels=pre_stage_channels[0],
+            out_channels=cfg['MODEL']['NUM_JOINTS'],
+            kernel_size=extra['FINAL_CONV_KERNEL'],
+            stride=1,
+            padding=1 if extra['FINAL_CONV_KERNEL'] == 3 else 0
+        )
+
+        self.pretrained_layers = extra['PRETRAINED_LAYERS']
+
+    def _make_transition_layer(
+            self, num_channels_pre_layer, num_channels_cur_layer):
+        num_branches_cur = len(num_channels_cur_layer)
+        num_branches_pre = len(num_channels_pre_layer)
+
+        transition_layers = []
+        for i in range(num_branches_cur):
+            if i < num_branches_pre:
+                if num_channels_cur_layer[i] != num_channels_pre_layer[i]:
+                    transition_layers.append(
+                        nn.Sequential(
+                            nn.Conv2d(
+                                num_channels_pre_layer[i],
+                                num_channels_cur_layer[i],
+                                3, 1, 1, bias=False
+                            ),
+                            nn.BatchNorm2d(num_channels_cur_layer[i]),
+                            nn.ReLU(inplace=True)
+                        )
+                    )
+                else:
+                    transition_layers.append(None)
+            else:
+                conv3x3s = []
+                for j in range(i+1-num_branches_pre):
+                    inchannels = num_channels_pre_layer[-1]
+                    outchannels = num_channels_cur_layer[i] \
+                        if j == i-num_branches_pre else inchannels
+                    conv3x3s.append(
+                        nn.Sequential(
+                            nn.Conv2d(
+                                inchannels, outchannels, 3, 2, 1, bias=False
+                            ),
+                            nn.BatchNorm2d(outchannels),
+                            nn.ReLU(inplace=True)
+                        )
+                    )
+                transition_layers.append(nn.Sequential(*conv3x3s))
+
+        return nn.ModuleList(transition_layers)
+
+    def _make_layer(self, block, planes, blocks, stride=1):
+        downsample = None
+        if stride != 1 or self.inplanes != planes * block.expansion:
+            downsample = nn.Sequential(
+                nn.Conv2d(
+                    self.inplanes, planes * block.expansion,
+                    kernel_size=1, stride=stride, bias=False
+                ),
+                nn.BatchNorm2d(planes * block.expansion, momentum=BN_MOMENTUM),
+            )
+
+        layers = []
+        layers.append(block(self.inplanes, planes, stride, downsample))
+        self.inplanes = planes * block.expansion
+        for i in range(1, blocks):
+            layers.append(block(self.inplanes, planes))
+
+        return nn.Sequential(*layers)
+
+    def _make_stage(self, layer_config, num_inchannels,
+                    multi_scale_output=True):
+        num_modules = layer_config['NUM_MODULES']
+        num_branches = layer_config['NUM_BRANCHES']
+        num_blocks = layer_config['NUM_BLOCKS']
+        num_channels = layer_config['NUM_CHANNELS']
+        block = blocks_dict[layer_config['BLOCK']]
+        fuse_method = layer_config['FUSE_METHOD']
+
+        modules = []
+        for i in range(num_modules):
+            # multi_scale_output is only used last module
+            if not multi_scale_output and i == num_modules - 1:
+                reset_multi_scale_output = False
+            else:
+                reset_multi_scale_output = True
+
+            modules.append(
+                HighResolutionModule(
+                    num_branches,
+                    block,
+                    num_blocks,
+                    num_inchannels,
+                    num_channels,
+                    fuse_method,
+                    reset_multi_scale_output
+                )
+            )
+            num_inchannels = modules[-1].get_num_inchannels()
+
+        return nn.Sequential(*modules), num_inchannels
+
+    def forward(self, x):
+        x = self.conv1(x)
+        x = self.bn1(x)
+        x = self.relu(x)
+        x = self.conv2(x)
+        x = self.bn2(x)
+        x = self.relu(x)
+        x = self.layer1(x)
+
+        x_list = []
+        for i in range(self.stage2_cfg['NUM_BRANCHES']):
+            if self.transition1[i] is not None:
+                x_list.append(self.transition1[i](x))
+            else:
+                x_list.append(x)
+        y_list = self.stage2(x_list)
+
+        x_list = []
+        for i in range(self.stage3_cfg['NUM_BRANCHES']):
+            if self.transition2[i] is not None:
+                x_list.append(self.transition2[i](y_list[-1]))
+            else:
+                x_list.append(y_list[i])
+        y_list = self.stage3(x_list)
+
+        x_list = []
+        for i in range(self.stage4_cfg['NUM_BRANCHES']):
+            if self.transition3[i] is not None:
+                x_list.append(self.transition3[i](y_list[-1]))
+            else:
+                x_list.append(y_list[i])
+        y_list = self.stage4(x_list)
+
+        x = self.final_layer(y_list[0])
+
+        return x
+
+    def init_weights(self, pretrained=''):
+        logger.info('=> init weights from normal distribution')
+        for m in self.modules():
+            if isinstance(m, nn.Conv2d):
+                # nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu')
+                nn.init.normal_(m.weight, std=0.001)
+                for name, _ in m.named_parameters():
+                    if name in ['bias']:
+                        nn.init.constant_(m.bias, 0)
+            elif isinstance(m, nn.BatchNorm2d):
+                nn.init.constant_(m.weight, 1)
+                nn.init.constant_(m.bias, 0)
+            elif isinstance(m, nn.ConvTranspose2d):
+                nn.init.normal_(m.weight, std=0.001)
+                for name, _ in m.named_parameters():
+                    if name in ['bias']:
+                        nn.init.constant_(m.bias, 0)
+
+        if os.path.isfile(pretrained):
+            pretrained_state_dict = torch.load(pretrained)
+            logger.info('=> loading pretrained model {}'.format(pretrained))
+
+            need_init_state_dict = {}
+            for name, m in pretrained_state_dict.items():
+                if name.split('.')[0] in self.pretrained_layers \
+                   or self.pretrained_layers[0] is '*':
+                    need_init_state_dict[name] = m
+            self.load_state_dict(need_init_state_dict, strict=False)
+        elif pretrained:
+            logger.error('=> please download pre-trained models first!')
+            raise ValueError('{} is not exist!'.format(pretrained))
+
+
+def get_pose_net(cfg, is_train, **kwargs):
+    model = PoseHighResolutionNet(cfg, **kwargs)
+
+    if is_train and cfg['MODEL']['INIT_WEIGHTS']:
+        model.init_weights(cfg['MODEL']['PRETRAINED'])
+
+    return model
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/pred.mat b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/pred.mat
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diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-34_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-34_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..41b61a7e8c3bc69e86fc5288fb30e41ceb712280
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-34_train.log
@@ -0,0 +1,217 @@
+2023-09-16 02:34:09,431 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-16 02:34:09,431 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0, 1, 2, 3)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: 
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 24
+2023-09-16 02:34:09,740 => init weights from normal distribution
+2023-09-16 02:34:09,902 => please download pre-trained models first!
+2023-09-16 02:34:38,554 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-16 02:34:38,558 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0, 1, 2, 3)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: 
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 24
+2023-09-16 02:34:38,878 => init weights from normal distribution
+2023-09-16 02:34:42,402 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-16 02:34:50,105 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-36_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-36_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..d0e55ddc163384094fc3087d846e233b5f9db519
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-36_train.log
@@ -0,0 +1,112 @@
+2023-09-16 02:36:19,741 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-16 02:36:19,742 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0, 1, 2, 3)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: 
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 24
+2023-09-16 02:36:20,054 => init weights from normal distribution
+2023-09-16 02:36:23,069 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-16 02:36:31,034 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-39_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-39_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..58752aaae0ba1e673ca7d6b510194ebb53bb234f
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-39_train.log
@@ -0,0 +1,112 @@
+2023-09-16 02:39:19,749 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-16 02:39:19,749 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: 
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 24
+2023-09-16 02:39:20,066 => init weights from normal distribution
+2023-09-16 02:39:23,917 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-16 02:39:31,786 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-40_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-40_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..e48848958e691c8ea1fbf671e95a9fbbe5cd14b9
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-40_train.log
@@ -0,0 +1,112 @@
+2023-09-16 02:40:13,085 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-16 02:40:13,085 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: 
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 24
+2023-09-16 02:40:13,395 => init weights from normal distribution
+2023-09-16 02:40:16,886 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-16 02:40:24,827 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-41_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-41_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..eb2cdc391a82526aa69d37e0d9c6fb1566c4b985
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-41_train.log
@@ -0,0 +1,115 @@
+2023-09-16 02:41:59,431 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-16 02:41:59,431 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: 
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 24
+2023-09-16 02:41:59,742 => init weights from normal distribution
+2023-09-16 02:42:03,216 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-16 02:42:11,092 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2023-09-16 02:42:11,913 => load 3001 samples
+2023-09-16 02:42:12,115 => load 2501 samples
+2023-09-16 02:42:23,905 Epoch: [0][0/94]	Time 11.724s (11.724s)	Speed 2.7 samples/s	Data 6.231s (6.231s)	Loss 0.00137 (0.00137)	Accuracy 0.067 (0.067)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-43_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-43_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..cd5bc8962b91bb8e5e9eb2d5b3332a7898afbaca
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-43_train.log
@@ -0,0 +1,116 @@
+2023-09-16 02:43:34,347 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-16 02:43:34,347 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: 
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2023-09-16 02:43:34,659 => init weights from normal distribution
+2023-09-16 02:43:38,095 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-16 02:43:45,893 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2023-09-16 02:43:46,701 => load 3001 samples
+2023-09-16 02:43:46,901 => load 2501 samples
+2023-09-16 02:43:54,514 Epoch: [0][0/94]	Time 7.560s (7.560s)	Speed 4.2 samples/s	Data 2.549s (2.549s)	Loss 0.00144 (0.00144)	Accuracy 0.090 (0.090)
+2023-09-16 02:44:59,838 Test: [0/79]	Time 2.398 (2.398)	Loss 0.0006 (0.0006)	Accuracy 0.824 (0.824)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-52_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-52_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..9458b1d55b19727cea3f70cb9e76cb1caea61c40
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-52_train.log
@@ -0,0 +1,116 @@
+2023-09-16 02:52:56,695 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-16 02:52:56,695 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: 
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2023-09-16 02:52:57,011 => init weights from normal distribution
+2023-09-16 02:53:00,804 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-16 02:53:08,637 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2023-09-16 02:53:09,436 => load 3001 samples
+2023-09-16 02:53:09,622 => load 2501 samples
+2023-09-16 02:53:17,137 Epoch: [0][0/94]	Time 7.457s (7.457s)	Speed 4.3 samples/s	Data 2.518s (2.518s)	Loss 0.00143 (0.00143)	Accuracy 0.065 (0.065)
+2023-09-16 02:54:21,245 Test: [0/79]	Time 2.362 (2.362)	Loss 0.0006 (0.0006)	Accuracy 0.836 (0.836)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-57_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-57_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..e4ec58446f2d859fb30e89cb5e1c5a1fbbbff3de
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-02-57_train.log
@@ -0,0 +1,116 @@
+2023-09-16 02:57:48,670 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-16 02:57:48,670 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: 
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2023-09-16 02:57:48,986 => init weights from normal distribution
+2023-09-16 02:57:52,355 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-16 02:58:00,248 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2023-09-16 02:58:01,059 => load 3001 samples
+2023-09-16 02:58:01,247 => load 2501 samples
+2023-09-16 02:58:08,809 Epoch: [0][0/94]	Time 7.512s (7.512s)	Speed 4.3 samples/s	Data 2.491s (2.491s)	Loss 0.00145 (0.00145)	Accuracy 0.079 (0.079)
+2023-09-16 02:59:13,133 Test: [0/79]	Time 2.351 (2.351)	Loss 0.0006 (0.0006)	Accuracy 0.862 (0.862)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-07-07_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-07-07_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..7f455d963824aef093d327443f0823ce0ae7e5cf
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-07-07_train.log
@@ -0,0 +1,116 @@
+2023-09-16 07:07:51,022 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-16 07:07:51,022 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: 
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2023-09-16 07:07:51,484 => init weights from normal distribution
+2023-09-16 07:08:01,272 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-16 07:08:20,324 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2023-09-16 07:08:25,108 => load 3001 samples
+2023-09-16 07:08:25,370 => load 2501 samples
+2023-09-16 07:08:45,769 Epoch: [0][0/94]	Time 20.344s (20.344s)	Speed 1.6 samples/s	Data 2.772s (2.772s)	Loss 0.00138 (0.00138)	Accuracy 0.028 (0.028)
+2023-09-16 07:09:50,153 Test: [0/79]	Time 2.325 (2.325)	Loss 0.0006 (0.0006)	Accuracy 0.850 (0.850)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-07-21_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-07-21_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..43ca9035eaae62594b0dff5418b67451cb315cfe
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-07-21_train.log
@@ -0,0 +1,116 @@
+2023-09-16 07:21:23,915 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-16 07:21:23,915 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: 
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2023-09-16 07:21:24,230 => init weights from normal distribution
+2023-09-16 07:21:27,586 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-16 07:21:35,588 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2023-09-16 07:21:36,447 => load 3001 samples
+2023-09-16 07:21:36,650 => load 2501 samples
+2023-09-16 07:21:44,293 Epoch: [0][0/94]	Time 7.595s (7.595s)	Speed 4.2 samples/s	Data 2.534s (2.534s)	Loss 0.00139 (0.00139)	Accuracy 0.048 (0.048)
+2023-09-16 07:22:48,230 Test: [0/79]	Time 2.300 (2.300)	Loss 0.0006 (0.0006)	Accuracy 0.832 (0.832)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-07-23_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-07-23_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..c47e9d7c0d6d9a62e6936f186ee74625124d0f2b
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-16-07-23_train.log
@@ -0,0 +1,278 @@
+2023-09-16 07:23:56,444 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-16 07:23:56,444 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: 
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2023-09-16 07:23:56,761 => init weights from normal distribution
+2023-09-16 07:23:59,748 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-16 07:24:07,754 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2023-09-16 07:24:08,578 => load 3001 samples
+2023-09-16 07:24:08,777 => load 2501 samples
+2023-09-16 07:24:16,212 Epoch: [0][0/94]	Time 7.383s (7.383s)	Speed 4.3 samples/s	Data 2.212s (2.212s)	Loss 0.00143 (0.00143)	Accuracy 0.090 (0.090)
+2023-09-16 07:25:21,126 Test: [0/79]	Time 2.204 (2.204)	Loss 0.0006 (0.0006)	Accuracy 0.828 (0.828)
+2023-09-16 07:25:51,961 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:25:51,961 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:25:51,961 | pose_hrnet | 0.362 | 0.322 | 0.735 | 0.310 | 0.380 | 0.600 | 0.661 | 0.502 | 0.032 |
+2023-09-16 07:25:52,707 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:25:59,997 Epoch: [1][0/94]	Time 3.068s (3.068s)	Speed 10.4 samples/s	Data 2.361s (2.361s)	Loss 0.00083 (0.00083)	Accuracy 0.622 (0.622)
+2023-09-16 07:27:05,076 Test: [0/79]	Time 2.204 (2.204)	Loss 0.0006 (0.0006)	Accuracy 0.870 (0.870)
+2023-09-16 07:27:36,146 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:27:36,146 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:27:36,146 | pose_hrnet | 0.483 | 0.463 | 0.633 | 0.453 | 0.500 | 0.660 | 0.701 | 0.580 | 0.040 |
+2023-09-16 07:27:36,149 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:27:43,091 Epoch: [2][0/94]	Time 3.212s (3.212s)	Speed 10.0 samples/s	Data 2.497s (2.497s)	Loss 0.00069 (0.00069)	Accuracy 0.683 (0.683)
+2023-09-16 07:28:48,718 Test: [0/79]	Time 2.189 (2.189)	Loss 0.0005 (0.0005)	Accuracy 0.886 (0.886)
+2023-09-16 07:29:19,885 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:29:19,885 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:29:19,885 | pose_hrnet | 0.282 | 0.564 | 0.734 | 0.597 | 0.620 | 0.660 | 0.581 | 0.620 | 0.035 |
+2023-09-16 07:29:19,888 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:29:26,952 Epoch: [3][0/94]	Time 3.296s (3.296s)	Speed 9.7 samples/s	Data 2.593s (2.593s)	Loss 0.00059 (0.00059)	Accuracy 0.770 (0.770)
+2023-09-16 07:30:32,821 Test: [0/79]	Time 2.414 (2.414)	Loss 0.0005 (0.0005)	Accuracy 0.888 (0.888)
+2023-09-16 07:31:04,292 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:31:04,292 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:31:04,292 | pose_hrnet | 0.322 | 0.523 | 0.795 | 0.453 | 0.800 | 0.700 | 0.541 | 0.649 | 0.037 |
+2023-09-16 07:31:04,295 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:31:11,266 Epoch: [4][0/94]	Time 3.225s (3.225s)	Speed 9.9 samples/s	Data 2.492s (2.492s)	Loss 0.00056 (0.00056)	Accuracy 0.809 (0.809)
+2023-09-16 07:32:16,820 Test: [0/79]	Time 2.248 (2.248)	Loss 0.0005 (0.0005)	Accuracy 0.886 (0.886)
+2023-09-16 07:32:48,198 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:32:48,199 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:32:48,199 | pose_hrnet | 0.362 | 0.725 | 0.837 | 0.495 | 0.800 | 0.780 | 0.521 | 0.712 | 0.040 |
+2023-09-16 07:32:48,202 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:32:56,119 Epoch: [5][0/94]	Time 3.078s (3.078s)	Speed 10.4 samples/s	Data 2.377s (2.377s)	Loss 0.00052 (0.00052)	Accuracy 0.863 (0.863)
+2023-09-16 07:34:01,824 Test: [0/79]	Time 1.982 (1.982)	Loss 0.0005 (0.0005)	Accuracy 0.892 (0.892)
+2023-09-16 07:34:33,267 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:34:33,267 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:34:33,267 | pose_hrnet | 0.322 | 0.765 | 0.571 | 0.473 | 0.960 | 0.700 | 0.581 | 0.692 | 0.035 |
+2023-09-16 07:34:33,271 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:34:39,167 Epoch: [6][0/94]	Time 3.176s (3.176s)	Speed 10.1 samples/s	Data 2.458s (2.458s)	Loss 0.00050 (0.00050)	Accuracy 0.859 (0.859)
+2023-09-16 07:35:45,193 Test: [0/79]	Time 2.366 (2.366)	Loss 0.0005 (0.0005)	Accuracy 0.888 (0.888)
+2023-09-16 07:36:16,656 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:36:16,656 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:36:16,656 | pose_hrnet | 0.563 | 0.745 | 0.673 | 0.453 | 0.840 | 0.760 | 0.641 | 0.704 | 0.029 |
+2023-09-16 07:36:16,659 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:36:22,547 Epoch: [7][0/94]	Time 2.859s (2.859s)	Speed 11.2 samples/s	Data 2.141s (2.141s)	Loss 0.00048 (0.00048)	Accuracy 0.867 (0.867)
+2023-09-16 07:37:28,977 Test: [0/79]	Time 2.496 (2.496)	Loss 0.0005 (0.0005)	Accuracy 0.896 (0.896)
+2023-09-16 07:38:00,262 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:38:00,262 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:38:00,262 | pose_hrnet | 0.483 | 0.825 | 0.652 | 0.556 | 0.960 | 0.820 | 0.782 | 0.776 | 0.058 |
+2023-09-16 07:38:00,265 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:38:07,805 Epoch: [8][0/94]	Time 3.248s (3.248s)	Speed 9.9 samples/s	Data 2.514s (2.514s)	Loss 0.00048 (0.00048)	Accuracy 0.883 (0.883)
+2023-09-16 07:39:13,459 Test: [0/79]	Time 2.235 (2.235)	Loss 0.0005 (0.0005)	Accuracy 0.880 (0.880)
+2023-09-16 07:39:44,538 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:39:44,538 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:39:44,538 | pose_hrnet | 0.322 | 0.785 | 0.775 | 0.803 | 0.820 | 0.720 | 0.621 | 0.735 | 0.035 |
+2023-09-16 07:39:44,542 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:39:50,440 Epoch: [9][0/94]	Time 3.013s (3.013s)	Speed 10.6 samples/s	Data 2.295s (2.295s)	Loss 0.00052 (0.00052)	Accuracy 0.809 (0.809)
+2023-09-16 07:40:56,172 Test: [0/79]	Time 2.105 (2.105)	Loss 0.0005 (0.0005)	Accuracy 0.884 (0.884)
+2023-09-16 07:41:27,283 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:41:27,284 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:41:27,284 | pose_hrnet | 0.483 | 0.745 | 0.612 | 0.433 | 0.920 | 0.820 | 0.601 | 0.686 | 0.029 |
+2023-09-16 07:41:27,287 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:41:33,509 Epoch: [10][0/94]	Time 3.152s (3.152s)	Speed 10.2 samples/s	Data 2.443s (2.443s)	Loss 0.00049 (0.00049)	Accuracy 0.876 (0.876)
+2023-09-16 07:42:39,543 Test: [0/79]	Time 2.374 (2.374)	Loss 0.0005 (0.0005)	Accuracy 0.892 (0.892)
+2023-09-16 07:43:10,643 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:43:10,644 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:43:10,644 | pose_hrnet | 0.483 | 0.664 | 0.693 | 0.474 | 0.780 | 0.860 | 0.741 | 0.718 | 0.035 |
+2023-09-16 07:43:10,647 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:43:17,227 Epoch: [11][0/94]	Time 3.150s (3.150s)	Speed 10.2 samples/s	Data 2.432s (2.432s)	Loss 0.00051 (0.00051)	Accuracy 0.786 (0.786)
+2023-09-16 07:44:23,193 Test: [0/79]	Time 2.273 (2.273)	Loss 0.0005 (0.0005)	Accuracy 0.899 (0.899)
+2023-09-16 07:44:54,615 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:44:54,615 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:44:54,615 | pose_hrnet | 0.483 | 0.684 | 0.775 | 0.618 | 0.740 | 0.920 | 0.621 | 0.732 | 0.032 |
+2023-09-16 07:44:54,618 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:45:00,632 Epoch: [12][0/94]	Time 3.236s (3.236s)	Speed 9.9 samples/s	Data 2.529s (2.529s)	Loss 0.00045 (0.00045)	Accuracy 0.886 (0.886)
+2023-09-16 07:46:06,509 Test: [0/79]	Time 2.239 (2.239)	Loss 0.0005 (0.0005)	Accuracy 0.900 (0.900)
+2023-09-16 07:46:37,911 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:46:37,911 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:46:37,911 | pose_hrnet | 0.362 | 0.866 | 0.714 | 0.433 | 0.680 | 0.780 | 0.762 | 0.704 | 0.035 |
+2023-09-16 07:46:37,914 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:46:43,808 Epoch: [13][0/94]	Time 3.131s (3.131s)	Speed 10.2 samples/s	Data 2.410s (2.410s)	Loss 0.00040 (0.00040)	Accuracy 0.905 (0.905)
+2023-09-16 07:47:49,601 Test: [0/79]	Time 2.102 (2.102)	Loss 0.0005 (0.0005)	Accuracy 0.910 (0.910)
+2023-09-16 07:48:20,800 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:48:20,800 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:48:20,800 | pose_hrnet | 0.322 | 0.805 | 0.673 | 0.495 | 0.860 | 0.940 | 0.741 | 0.741 | 0.032 |
+2023-09-16 07:48:20,804 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:48:27,058 Epoch: [14][0/94]	Time 3.004s (3.004s)	Speed 10.7 samples/s	Data 2.299s (2.299s)	Loss 0.00040 (0.00040)	Accuracy 0.886 (0.886)
+2023-09-16 07:49:33,131 Test: [0/79]	Time 2.314 (2.314)	Loss 0.0005 (0.0005)	Accuracy 0.890 (0.890)
+2023-09-16 07:50:04,696 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:50:04,696 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:50:04,696 | pose_hrnet | 0.322 | 0.785 | 0.877 | 0.535 | 0.940 | 0.960 | 0.822 | 0.813 | 0.043 |
+2023-09-16 07:50:04,699 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:50:12,427 Epoch: [15][0/94]	Time 3.442s (3.442s)	Speed 9.3 samples/s	Data 2.639s (2.639s)	Loss 0.00044 (0.00044)	Accuracy 0.906 (0.906)
+2023-09-16 07:51:17,928 Test: [0/79]	Time 2.158 (2.158)	Loss 0.0006 (0.0006)	Accuracy 0.890 (0.890)
+2023-09-16 07:51:49,374 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:51:49,374 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:51:49,374 | pose_hrnet | 0.322 | 0.644 | 0.775 | 0.535 | 0.780 | 0.840 | 0.561 | 0.701 | 0.032 |
+2023-09-16 07:51:49,378 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:51:56,181 Epoch: [16][0/94]	Time 3.265s (3.265s)	Speed 9.8 samples/s	Data 2.538s (2.538s)	Loss 0.00038 (0.00038)	Accuracy 0.903 (0.903)
+2023-09-16 07:53:01,692 Test: [0/79]	Time 2.028 (2.028)	Loss 0.0006 (0.0006)	Accuracy 0.862 (0.862)
+2023-09-16 07:53:33,233 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:53:33,233 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:53:33,233 | pose_hrnet | 0.322 | 0.886 | 0.735 | 0.433 | 0.940 | 0.880 | 0.621 | 0.761 | 0.035 |
+2023-09-16 07:53:33,236 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:53:39,237 Epoch: [17][0/94]	Time 3.084s (3.084s)	Speed 10.4 samples/s	Data 2.379s (2.379s)	Loss 0.00049 (0.00049)	Accuracy 0.866 (0.866)
+2023-09-16 07:54:44,970 Test: [0/79]	Time 2.197 (2.197)	Loss 0.0005 (0.0005)	Accuracy 0.900 (0.900)
+2023-09-16 07:55:16,145 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:55:16,145 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:55:16,145 | pose_hrnet | 0.241 | 0.785 | 0.776 | 0.536 | 0.680 | 0.820 | 0.782 | 0.724 | 0.049 |
+2023-09-16 07:55:16,148 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:55:22,367 Epoch: [18][0/94]	Time 3.140s (3.140s)	Speed 10.2 samples/s	Data 2.418s (2.418s)	Loss 0.00039 (0.00039)	Accuracy 0.918 (0.918)
+2023-09-16 07:56:28,097 Test: [0/79]	Time 2.084 (2.084)	Loss 0.0005 (0.0005)	Accuracy 0.888 (0.888)
+2023-09-16 07:56:59,248 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:56:59,248 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:56:59,248 | pose_hrnet | 0.241 | 0.664 | 0.836 | 0.576 | 0.840 | 0.880 | 0.721 | 0.747 | 0.037 |
+2023-09-16 07:56:59,251 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:57:05,639 Epoch: [19][0/94]	Time 3.100s (3.100s)	Speed 10.3 samples/s	Data 2.394s (2.394s)	Loss 0.00036 (0.00036)	Accuracy 0.955 (0.955)
+2023-09-16 07:58:10,912 Test: [0/79]	Time 1.891 (1.891)	Loss 0.0005 (0.0005)	Accuracy 0.906 (0.906)
+2023-09-16 07:58:42,045 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 07:58:42,045 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 07:58:42,045 | pose_hrnet | 0.282 | 0.684 | 0.959 | 0.556 | 0.840 | 0.900 | 0.842 | 0.787 | 0.052 |
+2023-09-16 07:58:42,048 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 07:58:49,165 Epoch: [20][0/94]	Time 3.066s (3.066s)	Speed 10.4 samples/s	Data 2.350s (2.350s)	Loss 0.00044 (0.00044)	Accuracy 0.903 (0.903)
+2023-09-16 07:59:54,720 Test: [0/79]	Time 1.947 (1.947)	Loss 0.0005 (0.0005)	Accuracy 0.886 (0.886)
+2023-09-16 08:00:26,086 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 08:00:26,086 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 08:00:26,086 | pose_hrnet | 0.201 | 0.684 | 0.816 | 0.618 | 0.740 | 0.900 | 0.661 | 0.721 | 0.052 |
+2023-09-16 08:00:26,090 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 08:00:32,124 Epoch: [21][0/94]	Time 3.115s (3.115s)	Speed 10.3 samples/s	Data 2.393s (2.393s)	Loss 0.00038 (0.00038)	Accuracy 0.926 (0.926)
+2023-09-16 08:01:38,148 Test: [0/79]	Time 2.212 (2.212)	Loss 0.0005 (0.0005)	Accuracy 0.896 (0.896)
+2023-09-16 08:02:09,561 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 08:02:09,561 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 08:02:09,561 | pose_hrnet | 0.402 | 0.785 | 0.775 | 0.474 | 0.740 | 0.860 | 0.601 | 0.692 | 0.049 |
+2023-09-16 08:02:09,564 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 08:02:15,799 Epoch: [22][0/94]	Time 3.098s (3.098s)	Speed 10.3 samples/s	Data 2.389s (2.389s)	Loss 0.00040 (0.00040)	Accuracy 0.906 (0.906)
+2023-09-16 08:03:21,501 Test: [0/79]	Time 2.156 (2.156)	Loss 0.0006 (0.0006)	Accuracy 0.882 (0.882)
+2023-09-16 08:03:52,678 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 08:03:52,678 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 08:03:52,678 | pose_hrnet | 0.402 | 0.825 | 0.897 | 0.617 | 0.960 | 0.760 | 0.621 | 0.802 | 0.049 |
+2023-09-16 08:03:52,682 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 08:03:58,840 Epoch: [23][0/94]	Time 3.186s (3.186s)	Speed 10.0 samples/s	Data 2.453s (2.453s)	Loss 0.00040 (0.00040)	Accuracy 0.899 (0.899)
+2023-09-16 08:05:04,739 Test: [0/79]	Time 2.188 (2.188)	Loss 0.0005 (0.0005)	Accuracy 0.900 (0.900)
+2023-09-16 08:05:36,017 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 08:05:36,017 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 08:05:36,018 | pose_hrnet | 0.322 | 0.624 | 0.938 | 0.556 | 0.760 | 0.680 | 0.721 | 0.718 | 0.035 |
+2023-09-16 08:05:36,021 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 08:05:42,128 Epoch: [24][0/94]	Time 3.007s (3.007s)	Speed 10.6 samples/s	Data 2.307s (2.307s)	Loss 0.00038 (0.00038)	Accuracy 0.902 (0.902)
+2023-09-16 08:06:48,005 Test: [0/79]	Time 2.123 (2.123)	Loss 0.0006 (0.0006)	Accuracy 0.890 (0.890)
+2023-09-16 08:07:19,543 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 08:07:19,543 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 08:07:19,543 | pose_hrnet | 0.362 | 0.604 | 0.857 | 0.557 | 0.760 | 0.760 | 0.822 | 0.735 | 0.035 |
+2023-09-16 08:07:19,546 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 08:07:25,814 Epoch: [25][0/94]	Time 3.061s (3.061s)	Speed 10.5 samples/s	Data 2.326s (2.326s)	Loss 0.00042 (0.00042)	Accuracy 0.908 (0.908)
+2023-09-16 08:08:31,771 Test: [0/79]	Time 2.369 (2.369)	Loss 0.0005 (0.0005)	Accuracy 0.886 (0.886)
+2023-09-16 08:09:03,030 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 08:09:03,030 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 08:09:03,030 | pose_hrnet | 0.282 | 0.845 | 0.795 | 0.577 | 0.940 | 0.820 | 0.661 | 0.747 | 0.049 |
+2023-09-16 08:09:03,033 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 08:09:09,446 Epoch: [26][0/94]	Time 3.065s (3.065s)	Speed 10.4 samples/s	Data 2.337s (2.337s)	Loss 0.00043 (0.00043)	Accuracy 0.890 (0.890)
+2023-09-16 08:10:14,956 Test: [0/79]	Time 2.019 (2.019)	Loss 0.0005 (0.0005)	Accuracy 0.904 (0.904)
+2023-09-16 08:10:46,105 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-16 08:10:46,105 |---|---|---|---|---|---|---|---|---|---|
+2023-09-16 08:10:46,105 | pose_hrnet | 0.362 | 0.906 | 0.938 | 0.598 | 0.880 | 0.920 | 0.581 | 0.825 | 0.040 |
+2023-09-16 08:10:46,109 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-16 08:10:53,012 Epoch: [27][0/94]	Time 3.249s (3.249s)	Speed 9.8 samples/s	Data 2.517s (2.517s)	Loss 0.00038 (0.00038)	Accuracy 0.909 (0.909)
+2023-09-16 08:11:58,665 Test: [0/79]	Time 2.061 (2.061)	Loss 0.0005 (0.0005)	Accuracy 0.900 (0.900)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-00-49_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-00-49_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..bd8bda45eb768a433c8de66124526d0761e68edc
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-00-49_train.log
@@ -0,0 +1,118 @@
+2023-09-27 00:49:46,854 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-27 00:49:46,854 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2023-09-27 00:49:47,321 => init weights from normal distribution
+2023-09-27 00:49:58,911 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-27 00:50:18,132 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2023-09-27 00:50:24,229 => load 5330 samples
+2023-09-27 00:50:24,263 => load 172 samples
+2023-09-27 00:50:24,337 => loading checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth'
+2023-09-27 00:50:35,358 => loaded checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth' (epoch 27)
+2023-09-27 00:51:02,447 Epoch: [27][0/84]	Time 27.077s (27.077s)	Speed 2.4 samples/s	Data 5.268s (5.268s)	Loss 0.00045 (0.00045)	Accuracy 0.877 (0.877)
+2023-09-27 00:52:50,262 Test: [0/6]	Time 3.732 (3.732)	Loss 0.0004 (0.0004)	Accuracy 0.869 (0.869)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-01-02_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-01-02_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..198166d66c79900b62881d02d3bf2e5950f9a2be
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-01-02_train.log
@@ -0,0 +1,177 @@
+2023-09-27 01:02:22,167 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-27 01:02:22,168 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2023-09-27 01:02:22,484 => init weights from normal distribution
+2023-09-27 01:02:26,350 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-27 01:02:34,394 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2023-09-27 01:02:35,437 => load 5330 samples
+2023-09-27 01:02:35,469 => load 172 samples
+2023-09-27 01:02:35,548 => loading checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth'
+2023-09-27 01:02:46,573 => loaded checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth' (epoch 27)
+2023-09-27 01:03:00,957 Epoch: [27][0/84]	Time 14.379s (14.379s)	Speed 4.5 samples/s	Data 6.037s (6.037s)	Loss 0.00046 (0.00046)	Accuracy 0.893 (0.893)
+2023-09-27 01:04:45,462 Test: [0/6]	Time 2.895 (2.895)	Loss 0.0004 (0.0004)	Accuracy 0.885 (0.885)
+2023-09-27 01:04:48,556 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:04:48,556 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:04:48,556 | pose_hrnet | 0.581 | 1.163 | 2.057 | 0.590 | 1.163 | 1.163 | 0.595 | 1.046 | 0.084 |
+2023-09-27 01:04:49,433 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:04:59,210 Epoch: [28][0/84]	Time 5.434s (5.434s)	Speed 11.8 samples/s	Data 4.171s (4.171s)	Loss 0.00043 (0.00043)	Accuracy 0.901 (0.901)
+2023-09-27 01:06:45,124 Test: [0/6]	Time 2.231 (2.231)	Loss 0.0004 (0.0004)	Accuracy 0.894 (0.894)
+2023-09-27 01:06:47,928 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:06:47,928 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:06:47,928 | pose_hrnet | 0.581 | 0.872 | 2.054 | 0.294 | 1.163 | 0.291 | 1.190 | 0.920 | 0.084 |
+2023-09-27 01:06:47,931 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:06:56,586 Epoch: [29][0/84]	Time 5.576s (5.576s)	Speed 11.5 samples/s	Data 4.312s (4.312s)	Loss 0.00042 (0.00042)	Accuracy 0.880 (0.880)
+2023-09-27 01:08:43,193 Test: [0/6]	Time 2.009 (2.009)	Loss 0.0004 (0.0004)	Accuracy 0.879 (0.879)
+2023-09-27 01:08:46,014 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:08:46,014 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:08:46,014 | pose_hrnet | 0.581 | 1.163 | 1.765 | 0.590 | 1.163 | 0.581 | 0.893 | 0.962 | 0.167 |
+2023-09-27 01:08:46,017 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:08:56,827 Epoch: [30][0/84]	Time 5.714s (5.714s)	Speed 11.2 samples/s	Data 4.423s (4.423s)	Loss 0.00043 (0.00043)	Accuracy 0.881 (0.881)
+2023-09-27 01:10:43,967 Test: [0/6]	Time 2.291 (2.291)	Loss 0.0004 (0.0004)	Accuracy 0.874 (0.874)
+2023-09-27 01:10:46,972 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:10:46,972 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:10:46,972 | pose_hrnet | 0.000 | 1.163 | 1.469 | 0.000 | 0.872 | 1.163 | 0.595 | 0.795 | 0.125 |
+2023-09-27 01:10:46,976 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:10:55,374 Epoch: [31][0/84]	Time 5.524s (5.524s)	Speed 11.6 samples/s	Data 4.243s (4.243s)	Loss 0.00037 (0.00037)	Accuracy 0.909 (0.909)
+2023-09-27 01:12:42,639 Test: [0/6]	Time 2.224 (2.224)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2023-09-27 01:12:45,522 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:12:45,522 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:12:45,522 | pose_hrnet | 1.163 | 1.163 | 1.469 | 0.000 | 0.872 | 0.872 | 1.190 | 0.962 | 0.084 |
+2023-09-27 01:12:45,525 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:12:54,582 Epoch: [32][0/84]	Time 5.894s (5.894s)	Speed 10.9 samples/s	Data 4.617s (4.617s)	Loss 0.00035 (0.00035)	Accuracy 0.928 (0.928)
+2023-09-27 01:14:41,684 Test: [0/6]	Time 2.293 (2.293)	Loss 0.0004 (0.0004)	Accuracy 0.880 (0.880)
+2023-09-27 01:14:44,488 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:14:44,488 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:14:44,488 | pose_hrnet | 0.000 | 0.872 | 2.057 | 0.296 | 0.581 | 0.581 | 0.893 | 0.795 | 0.084 |
+2023-09-27 01:14:44,491 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:14:52,596 Epoch: [33][0/84]	Time 5.488s (5.488s)	Speed 11.7 samples/s	Data 4.204s (4.204s)	Loss 0.00040 (0.00040)	Accuracy 0.891 (0.891)
+2023-09-27 01:16:39,866 Test: [0/6]	Time 2.092 (2.092)	Loss 0.0004 (0.0004)	Accuracy 0.882 (0.882)
+2023-09-27 01:16:42,685 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:16:42,685 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:16:42,685 | pose_hrnet | 0.000 | 0.872 | 1.173 | 0.884 | 0.872 | 1.163 | 1.190 | 0.962 | 0.042 |
+2023-09-27 01:16:42,688 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:16:50,856 Epoch: [34][0/84]	Time 5.413s (5.413s)	Speed 11.8 samples/s	Data 4.122s (4.122s)	Loss 0.00042 (0.00042)	Accuracy 0.899 (0.899)
+2023-09-27 01:18:38,387 Test: [0/6]	Time 2.254 (2.254)	Loss 0.0003 (0.0003)	Accuracy 0.905 (0.905)
+2023-09-27 01:18:41,237 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:18:41,237 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:18:41,237 | pose_hrnet | 0.581 | 1.163 | 1.761 | 0.884 | 0.872 | 1.453 | 0.595 | 1.087 | 0.125 |
+2023-09-27 01:18:41,240 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:18:50,947 Epoch: [35][0/84]	Time 5.550s (5.550s)	Speed 11.5 samples/s	Data 4.252s (4.252s)	Loss 0.00037 (0.00037)	Accuracy 0.905 (0.905)
+2023-09-27 01:20:38,596 Test: [0/6]	Time 2.362 (2.362)	Loss 0.0004 (0.0004)	Accuracy 0.894 (0.894)
+2023-09-27 01:20:41,459 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:20:41,459 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:20:41,459 | pose_hrnet | 0.000 | 1.453 | 1.173 | 0.590 | 1.453 | 0.581 | 0.893 | 0.962 | 0.084 |
+2023-09-27 01:20:41,462 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:20:50,374 Epoch: [36][0/84]	Time 5.549s (5.549s)	Speed 11.5 samples/s	Data 4.274s (4.274s)	Loss 0.00037 (0.00037)	Accuracy 0.930 (0.930)
+2023-09-27 01:22:37,538 Test: [0/6]	Time 2.223 (2.223)	Loss 0.0004 (0.0004)	Accuracy 0.892 (0.892)
+2023-09-27 01:22:40,392 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:22:40,392 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:22:40,392 | pose_hrnet | 1.163 | 0.872 | 1.768 | 0.884 | 1.163 | 0.872 | 1.190 | 1.087 | 0.042 |
+2023-09-27 01:22:40,396 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:22:50,185 Epoch: [37][0/84]	Time 5.803s (5.803s)	Speed 11.0 samples/s	Data 4.504s (4.504s)	Loss 0.00038 (0.00038)	Accuracy 0.914 (0.914)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-01-24_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-01-24_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..24db7300e04c4e967510c5ae40cd9b4ba98e6449
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-01-24_train.log
@@ -0,0 +1,116 @@
+2023-09-27 01:24:12,288 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-27 01:24:12,288 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 128
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 128
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2023-09-27 01:24:12,606 => init weights from normal distribution
+2023-09-27 01:24:15,912 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-27 01:24:23,940 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2023-09-27 01:24:24,989 => load 5330 samples
+2023-09-27 01:24:25,028 => load 172 samples
+2023-09-27 01:24:25,128 => loading checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth'
+2023-09-27 01:24:34,562 => loaded checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth' (epoch 37)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-01-26_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-01-26_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..4f37d9d802e731227929a37347df57928cde5475
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-01-26_train.log
@@ -0,0 +1,177 @@
+2023-09-27 01:26:34,973 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-27 01:26:34,973 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 64
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2023-09-27 01:26:35,295 => init weights from normal distribution
+2023-09-27 01:26:38,754 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-27 01:26:46,807 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2023-09-27 01:26:47,800 => load 5330 samples
+2023-09-27 01:26:47,828 => load 172 samples
+2023-09-27 01:26:47,905 => loading checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth'
+2023-09-27 01:26:57,746 => loaded checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth' (epoch 37)
+2023-09-27 01:27:10,896 Epoch: [37][0/84]	Time 13.146s (13.146s)	Speed 4.9 samples/s	Data 4.691s (4.691s)	Loss 0.00035 (0.00035)	Accuracy 0.919 (0.919)
+2023-09-27 01:28:58,541 Test: [0/3]	Time 4.238 (4.238)	Loss 0.0003 (0.0003)	Accuracy 0.916 (0.916)
+2023-09-27 01:29:02,343 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:29:02,343 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:29:02,343 | pose_hrnet | 0.000 | 0.581 | 1.765 | 0.590 | 0.872 | 0.872 | 1.190 | 0.920 | 0.042 |
+2023-09-27 01:29:03,276 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:29:11,497 Epoch: [38][0/84]	Time 5.179s (5.179s)	Speed 12.4 samples/s	Data 3.886s (3.886s)	Loss 0.00038 (0.00038)	Accuracy 0.929 (0.929)
+2023-09-27 01:31:01,345 Test: [0/3]	Time 4.161 (4.161)	Loss 0.0003 (0.0003)	Accuracy 0.922 (0.922)
+2023-09-27 01:31:04,413 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:31:04,413 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:31:04,413 | pose_hrnet | 0.000 | 1.163 | 1.758 | 0.000 | 0.872 | 0.872 | 0.595 | 0.836 | 0.042 |
+2023-09-27 01:31:04,417 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:31:13,171 Epoch: [39][0/84]	Time 5.395s (5.395s)	Speed 11.9 samples/s	Data 4.092s (4.092s)	Loss 0.00036 (0.00036)	Accuracy 0.919 (0.919)
+2023-09-27 01:33:03,694 Test: [0/3]	Time 4.024 (4.024)	Loss 0.0003 (0.0003)	Accuracy 0.929 (0.929)
+2023-09-27 01:33:06,866 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:33:06,866 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:33:06,866 | pose_hrnet | 0.000 | 0.872 | 2.350 | 0.000 | 0.872 | 1.163 | 0.893 | 0.878 | 0.084 |
+2023-09-27 01:33:06,870 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:33:15,640 Epoch: [40][0/84]	Time 5.577s (5.577s)	Speed 11.5 samples/s	Data 4.265s (4.265s)	Loss 0.00039 (0.00039)	Accuracy 0.890 (0.890)
+2023-09-27 01:35:06,234 Test: [0/3]	Time 4.001 (4.001)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2023-09-27 01:35:09,206 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:35:09,206 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:35:09,206 | pose_hrnet | 0.000 | 0.581 | 2.938 | 0.294 | 1.453 | 0.291 | 0.893 | 0.920 | 0.084 |
+2023-09-27 01:35:09,210 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:35:18,592 Epoch: [41][0/84]	Time 5.791s (5.791s)	Speed 11.1 samples/s	Data 4.504s (4.504s)	Loss 0.00033 (0.00033)	Accuracy 0.945 (0.945)
+2023-09-27 01:37:09,115 Test: [0/3]	Time 4.003 (4.003)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2023-09-27 01:37:12,134 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:37:12,134 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:37:12,134 | pose_hrnet | 0.000 | 0.872 | 2.938 | 0.590 | 0.872 | 1.163 | 0.595 | 1.087 | 0.084 |
+2023-09-27 01:37:12,138 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:37:21,797 Epoch: [42][0/84]	Time 5.971s (5.971s)	Speed 10.7 samples/s	Data 4.679s (4.679s)	Loss 0.00039 (0.00039)	Accuracy 0.910 (0.910)
+2023-09-27 01:39:12,075 Test: [0/3]	Time 4.033 (4.033)	Loss 0.0003 (0.0003)	Accuracy 0.919 (0.919)
+2023-09-27 01:39:15,104 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:39:15,104 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:39:15,104 | pose_hrnet | 1.163 | 0.872 | 2.346 | 0.590 | 1.163 | 0.581 | 0.893 | 1.087 | 0.125 |
+2023-09-27 01:39:15,108 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:39:23,606 Epoch: [43][0/84]	Time 5.461s (5.461s)	Speed 11.7 samples/s	Data 4.157s (4.157s)	Loss 0.00031 (0.00031)	Accuracy 0.952 (0.952)
+2023-09-27 01:41:14,155 Test: [0/3]	Time 4.020 (4.020)	Loss 0.0003 (0.0003)	Accuracy 0.918 (0.918)
+2023-09-27 01:41:17,140 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:41:17,140 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:41:17,140 | pose_hrnet | 0.581 | 1.744 | 2.638 | 0.000 | 1.163 | 0.872 | 0.595 | 1.129 | 0.084 |
+2023-09-27 01:41:17,143 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:41:27,456 Epoch: [44][0/84]	Time 5.331s (5.331s)	Speed 12.0 samples/s	Data 4.021s (4.021s)	Loss 0.00033 (0.00033)	Accuracy 0.930 (0.930)
+2023-09-27 01:43:18,272 Test: [0/3]	Time 3.912 (3.912)	Loss 0.0003 (0.0003)	Accuracy 0.918 (0.918)
+2023-09-27 01:43:21,243 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:43:21,244 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:43:21,244 | pose_hrnet | 0.581 | 1.163 | 1.173 | 0.000 | 0.872 | 1.453 | 0.893 | 0.878 | 0.042 |
+2023-09-27 01:43:21,247 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:43:29,401 Epoch: [45][0/84]	Time 5.610s (5.610s)	Speed 11.4 samples/s	Data 4.321s (4.321s)	Loss 0.00035 (0.00035)	Accuracy 0.922 (0.922)
+2023-09-27 01:45:20,050 Test: [0/3]	Time 4.051 (4.051)	Loss 0.0003 (0.0003)	Accuracy 0.914 (0.914)
+2023-09-27 01:45:23,094 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:45:23,094 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:45:23,094 | pose_hrnet | 1.163 | 0.872 | 1.465 | 0.588 | 0.872 | 0.291 | 1.786 | 1.004 | 0.042 |
+2023-09-27 01:45:23,098 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:45:31,219 Epoch: [46][0/84]	Time 5.314s (5.314s)	Speed 12.0 samples/s	Data 4.002s (4.002s)	Loss 0.00038 (0.00038)	Accuracy 0.924 (0.924)
+2023-09-27 01:47:22,120 Test: [0/3]	Time 4.043 (4.043)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2023-09-27 01:47:25,102 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 01:47:25,102 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 01:47:25,102 | pose_hrnet | 0.000 | 1.163 | 1.469 | 0.000 | 0.872 | 2.035 | 0.893 | 0.962 | 0.084 |
+2023-09-27 01:47:25,106 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 01:47:33,288 Epoch: [47][0/84]	Time 5.419s (5.419s)	Speed 11.8 samples/s	Data 4.113s (4.113s)	Loss 0.00034 (0.00034)	Accuracy 0.934 (0.934)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-02-00_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-02-00_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..5eb48c8b58cb0481f7b2537f4729e4d1f47083c1
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-02-00_train.log
@@ -0,0 +1,525 @@
+2023-09-27 02:00:34,434 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-27 02:00:34,435 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 64
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2023-09-27 02:00:34,757 => init weights from normal distribution
+2023-09-27 02:00:37,906 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2023-09-27 02:00:46,145 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2023-09-27 02:00:47,107 => load 5330 samples
+2023-09-27 02:00:47,145 => load 172 samples
+2023-09-27 02:00:47,240 => loading checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth'
+2023-09-27 02:00:56,753 => loaded checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth' (epoch 47)
+2023-09-27 02:01:09,934 Epoch: [47][0/84]	Time 13.177s (13.177s)	Speed 4.9 samples/s	Data 4.660s (4.660s)	Loss 0.00039 (0.00039)	Accuracy 0.915 (0.915)
+2023-09-27 02:02:56,364 Test: [0/3]	Time 4.334 (4.334)	Loss 0.0003 (0.0003)	Accuracy 0.916 (0.916)
+2023-09-27 02:03:00,311 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:03:00,311 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:03:00,311 | pose_hrnet | 0.000 | 1.453 | 1.465 | 0.000 | 0.872 | 1.163 | 0.000 | 0.711 | 0.125 |
+2023-09-27 02:03:01,208 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:03:10,364 Epoch: [48][0/84]	Time 5.017s (5.017s)	Speed 12.8 samples/s	Data 3.729s (3.729s)	Loss 0.00035 (0.00035)	Accuracy 0.919 (0.919)
+2023-09-27 02:04:58,998 Test: [0/3]	Time 3.954 (3.954)	Loss 0.0003 (0.0003)	Accuracy 0.917 (0.917)
+2023-09-27 02:05:02,041 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:05:02,041 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:05:02,041 | pose_hrnet | 0.581 | 0.872 | 2.054 | 0.294 | 0.872 | 0.581 | 0.000 | 0.711 | 0.084 |
+2023-09-27 02:05:02,045 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:05:10,801 Epoch: [49][0/84]	Time 5.823s (5.823s)	Speed 11.0 samples/s	Data 4.525s (4.525s)	Loss 0.00032 (0.00032)	Accuracy 0.953 (0.953)
+2023-09-27 02:06:59,604 Test: [0/3]	Time 4.043 (4.043)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2023-09-27 02:07:02,672 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:07:02,672 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:07:02,672 | pose_hrnet | 0.000 | 1.744 | 1.754 | 0.000 | 0.872 | 1.163 | 0.595 | 0.920 | 0.084 |
+2023-09-27 02:07:02,676 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:07:10,765 Epoch: [50][0/84]	Time 5.385s (5.385s)	Speed 11.9 samples/s	Data 4.093s (4.093s)	Loss 0.00033 (0.00033)	Accuracy 0.937 (0.937)
+2023-09-27 02:09:00,186 Test: [0/3]	Time 4.047 (4.047)	Loss 0.0003 (0.0003)	Accuracy 0.922 (0.922)
+2023-09-27 02:09:03,211 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:09:03,211 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:09:03,211 | pose_hrnet | 0.581 | 1.453 | 2.057 | 0.000 | 0.872 | 0.872 | 0.000 | 0.836 | 0.042 |
+2023-09-27 02:09:03,215 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:09:11,539 Epoch: [51][0/84]	Time 5.239s (5.239s)	Speed 12.2 samples/s	Data 3.965s (3.965s)	Loss 0.00033 (0.00033)	Accuracy 0.931 (0.931)
+2023-09-27 02:11:00,924 Test: [0/3]	Time 4.131 (4.131)	Loss 0.0003 (0.0003)	Accuracy 0.914 (0.914)
+2023-09-27 02:11:04,109 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:11:04,109 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:11:04,109 | pose_hrnet | 0.000 | 0.872 | 1.761 | 0.000 | 1.744 | 2.035 | 0.595 | 1.087 | 0.042 |
+2023-09-27 02:11:04,113 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:11:14,440 Epoch: [52][0/84]	Time 5.828s (5.828s)	Speed 11.0 samples/s	Data 4.537s (4.537s)	Loss 0.00036 (0.00036)	Accuracy 0.928 (0.928)
+2023-09-27 02:13:03,357 Test: [0/3]	Time 3.961 (3.961)	Loss 0.0003 (0.0003)	Accuracy 0.911 (0.911)
+2023-09-27 02:13:06,507 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:13:06,507 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:13:06,507 | pose_hrnet | 0.581 | 1.163 | 1.170 | 0.296 | 0.872 | 1.163 | 0.893 | 0.878 | 0.125 |
+2023-09-27 02:13:06,512 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:13:14,282 Epoch: [53][0/84]	Time 5.191s (5.191s)	Speed 12.3 samples/s	Data 3.911s (3.911s)	Loss 0.00033 (0.00033)	Accuracy 0.938 (0.938)
+2023-09-27 02:15:03,996 Test: [0/3]	Time 4.081 (4.081)	Loss 0.0003 (0.0003)	Accuracy 0.910 (0.910)
+2023-09-27 02:15:07,081 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:15:07,081 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:15:07,081 | pose_hrnet | 0.581 | 0.872 | 2.350 | 0.294 | 0.581 | 0.291 | 0.000 | 0.669 | 0.042 |
+2023-09-27 02:15:07,087 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:15:15,961 Epoch: [54][0/84]	Time 5.982s (5.982s)	Speed 10.7 samples/s	Data 4.713s (4.713s)	Loss 0.00034 (0.00034)	Accuracy 0.938 (0.938)
+2023-09-27 02:17:05,124 Test: [0/3]	Time 4.098 (4.098)	Loss 0.0003 (0.0003)	Accuracy 0.907 (0.907)
+2023-09-27 02:17:08,262 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:17:08,262 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:17:08,262 | pose_hrnet | 0.581 | 0.872 | 2.061 | 0.296 | 0.581 | 1.453 | 0.893 | 0.962 | 0.042 |
+2023-09-27 02:17:08,266 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:17:16,858 Epoch: [55][0/84]	Time 5.660s (5.660s)	Speed 11.3 samples/s	Data 4.380s (4.380s)	Loss 0.00034 (0.00034)	Accuracy 0.924 (0.924)
+2023-09-27 02:19:06,143 Test: [0/3]	Time 4.081 (4.081)	Loss 0.0003 (0.0003)	Accuracy 0.915 (0.915)
+2023-09-27 02:19:09,172 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:19:09,172 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:19:09,172 | pose_hrnet | 1.163 | 0.872 | 2.642 | 1.182 | 0.872 | 1.453 | 1.190 | 1.338 | 0.084 |
+2023-09-27 02:19:09,176 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:19:19,102 Epoch: [56][0/84]	Time 5.665s (5.665s)	Speed 11.3 samples/s	Data 4.390s (4.390s)	Loss 0.00029 (0.00029)	Accuracy 0.955 (0.955)
+2023-09-27 02:21:08,688 Test: [0/3]	Time 4.052 (4.052)	Loss 0.0003 (0.0003)	Accuracy 0.911 (0.911)
+2023-09-27 02:21:11,831 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:21:11,831 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:21:11,831 | pose_hrnet | 0.000 | 1.163 | 2.057 | 0.294 | 1.163 | 0.581 | 0.595 | 0.878 | 0.084 |
+2023-09-27 02:21:11,835 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:21:20,852 Epoch: [57][0/84]	Time 6.105s (6.105s)	Speed 10.5 samples/s	Data 4.824s (4.824s)	Loss 0.00031 (0.00031)	Accuracy 0.941 (0.941)
+2023-09-27 02:23:09,696 Test: [0/3]	Time 4.018 (4.018)	Loss 0.0003 (0.0003)	Accuracy 0.917 (0.917)
+2023-09-27 02:23:12,728 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:23:12,728 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:23:12,728 | pose_hrnet | 0.581 | 1.163 | 1.765 | 0.588 | 0.581 | 0.581 | 1.190 | 0.920 | 0.042 |
+2023-09-27 02:23:12,732 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:23:21,085 Epoch: [58][0/84]	Time 5.526s (5.526s)	Speed 11.6 samples/s	Data 4.243s (4.243s)	Loss 0.00033 (0.00033)	Accuracy 0.943 (0.943)
+2023-09-27 02:25:10,394 Test: [0/3]	Time 4.010 (4.010)	Loss 0.0003 (0.0003)	Accuracy 0.917 (0.917)
+2023-09-27 02:25:13,441 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:25:13,441 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:25:13,441 | pose_hrnet | 0.581 | 0.872 | 2.057 | 0.294 | 0.581 | 0.581 | 0.893 | 0.878 | 0.042 |
+2023-09-27 02:25:13,445 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:25:21,956 Epoch: [59][0/84]	Time 5.528s (5.528s)	Speed 11.6 samples/s	Data 4.224s (4.224s)	Loss 0.00030 (0.00030)	Accuracy 0.959 (0.959)
+2023-09-27 02:27:11,374 Test: [0/3]	Time 4.161 (4.161)	Loss 0.0003 (0.0003)	Accuracy 0.916 (0.916)
+2023-09-27 02:27:14,521 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:27:14,521 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:27:14,521 | pose_hrnet | 0.581 | 1.744 | 2.057 | 0.000 | 0.581 | 0.291 | 0.595 | 0.836 | 0.042 |
+2023-09-27 02:27:14,526 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:27:23,062 Epoch: [60][0/84]	Time 5.697s (5.697s)	Speed 11.2 samples/s	Data 4.404s (4.404s)	Loss 0.00029 (0.00029)	Accuracy 0.943 (0.943)
+2023-09-27 02:29:12,179 Test: [0/3]	Time 3.910 (3.910)	Loss 0.0003 (0.0003)	Accuracy 0.918 (0.918)
+2023-09-27 02:29:15,154 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:29:15,154 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:29:15,154 | pose_hrnet | 0.000 | 1.163 | 1.761 | 0.294 | 0.291 | 1.163 | 0.893 | 0.836 | 0.042 |
+2023-09-27 02:29:15,158 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:29:22,872 Epoch: [61][0/84]	Time 5.263s (5.263s)	Speed 12.2 samples/s	Data 3.972s (3.972s)	Loss 0.00032 (0.00032)	Accuracy 0.937 (0.937)
+2023-09-27 02:31:12,662 Test: [0/3]	Time 4.108 (4.108)	Loss 0.0003 (0.0003)	Accuracy 0.920 (0.920)
+2023-09-27 02:31:15,691 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:31:15,691 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:31:15,691 | pose_hrnet | 0.581 | 1.163 | 1.465 | 0.000 | 0.872 | 1.163 | 0.893 | 0.878 | 0.125 |
+2023-09-27 02:31:15,695 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:31:23,623 Epoch: [62][0/84]	Time 5.355s (5.355s)	Speed 12.0 samples/s	Data 4.077s (4.077s)	Loss 0.00033 (0.00033)	Accuracy 0.925 (0.925)
+2023-09-27 02:33:13,004 Test: [0/3]	Time 4.013 (4.013)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2023-09-27 02:33:15,954 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:33:15,954 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:33:15,954 | pose_hrnet | 1.744 | 1.453 | 2.350 | 0.590 | 1.453 | 1.453 | 0.298 | 1.297 | 0.084 |
+2023-09-27 02:33:15,958 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:33:23,957 Epoch: [63][0/84]	Time 5.415s (5.415s)	Speed 11.8 samples/s	Data 4.133s (4.133s)	Loss 0.00032 (0.00032)	Accuracy 0.931 (0.931)
+2023-09-27 02:35:13,492 Test: [0/3]	Time 4.041 (4.041)	Loss 0.0003 (0.0003)	Accuracy 0.919 (0.919)
+2023-09-27 02:35:16,571 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:35:16,571 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:35:16,571 | pose_hrnet | 0.581 | 1.163 | 2.356 | 0.886 | 0.872 | 1.163 | 0.298 | 1.046 | 0.042 |
+2023-09-27 02:35:16,575 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:35:25,255 Epoch: [64][0/84]	Time 5.813s (5.813s)	Speed 11.0 samples/s	Data 4.525s (4.525s)	Loss 0.00030 (0.00030)	Accuracy 0.955 (0.955)
+2023-09-27 02:37:14,441 Test: [0/3]	Time 3.993 (3.993)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2023-09-27 02:37:17,430 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:37:17,430 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:37:17,430 | pose_hrnet | 0.581 | 1.163 | 2.061 | 0.296 | 0.581 | 1.453 | 0.298 | 0.878 | 0.084 |
+2023-09-27 02:37:17,435 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:37:25,244 Epoch: [65][0/84]	Time 5.173s (5.173s)	Speed 12.4 samples/s	Data 3.896s (3.896s)	Loss 0.00031 (0.00031)	Accuracy 0.936 (0.936)
+2023-09-27 02:39:14,800 Test: [0/3]	Time 4.019 (4.019)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2023-09-27 02:39:17,780 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:39:17,781 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:39:17,781 | pose_hrnet | 0.581 | 1.453 | 2.061 | 0.296 | 0.872 | 1.453 | 0.595 | 1.046 | 0.042 |
+2023-09-27 02:39:17,785 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:39:25,841 Epoch: [66][0/84]	Time 5.429s (5.429s)	Speed 11.8 samples/s	Data 4.155s (4.155s)	Loss 0.00034 (0.00034)	Accuracy 0.938 (0.938)
+2023-09-27 02:41:15,498 Test: [0/3]	Time 4.019 (4.019)	Loss 0.0003 (0.0003)	Accuracy 0.912 (0.912)
+2023-09-27 02:41:18,596 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:41:18,596 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:41:18,596 | pose_hrnet | 0.581 | 0.581 | 1.761 | 0.296 | 1.163 | 1.453 | 0.595 | 0.920 | 0.125 |
+2023-09-27 02:41:18,600 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:41:27,301 Epoch: [67][0/84]	Time 5.108s (5.108s)	Speed 12.5 samples/s	Data 3.812s (3.812s)	Loss 0.00028 (0.00028)	Accuracy 0.956 (0.956)
+2023-09-27 02:43:17,541 Test: [0/3]	Time 4.789 (4.789)	Loss 0.0003 (0.0003)	Accuracy 0.926 (0.926)
+2023-09-27 02:43:20,674 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:43:20,674 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:43:20,674 | pose_hrnet | 0.581 | 1.453 | 1.761 | 0.296 | 0.581 | 2.035 | 1.190 | 1.171 | 0.084 |
+2023-09-27 02:43:20,679 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:43:30,382 Epoch: [68][0/84]	Time 5.760s (5.760s)	Speed 11.1 samples/s	Data 4.466s (4.466s)	Loss 0.00032 (0.00032)	Accuracy 0.951 (0.951)
+2023-09-27 02:45:19,970 Test: [0/3]	Time 4.234 (4.234)	Loss 0.0003 (0.0003)	Accuracy 0.923 (0.923)
+2023-09-27 02:45:23,028 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:45:23,028 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:45:23,028 | pose_hrnet | 0.581 | 1.453 | 2.353 | 0.294 | 1.163 | 1.453 | 1.786 | 1.338 | 0.042 |
+2023-09-27 02:45:23,033 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:45:31,840 Epoch: [69][0/84]	Time 5.901s (5.901s)	Speed 10.8 samples/s	Data 4.629s (4.629s)	Loss 0.00034 (0.00034)	Accuracy 0.933 (0.933)
+2023-09-27 02:47:20,815 Test: [0/3]	Time 4.016 (4.016)	Loss 0.0003 (0.0003)	Accuracy 0.926 (0.926)
+2023-09-27 02:47:23,836 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:47:23,837 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:47:23,837 | pose_hrnet | 0.581 | 1.163 | 1.765 | 0.590 | 0.872 | 0.872 | 1.488 | 1.046 | 0.042 |
+2023-09-27 02:47:23,842 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:47:31,772 Epoch: [70][0/84]	Time 5.461s (5.461s)	Speed 11.7 samples/s	Data 4.179s (4.179s)	Loss 0.00028 (0.00028)	Accuracy 0.956 (0.956)
+2023-09-27 02:49:21,439 Test: [0/3]	Time 4.067 (4.067)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2023-09-27 02:49:24,470 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:49:24,470 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:49:24,470 | pose_hrnet | 0.581 | 0.872 | 2.061 | 0.588 | 0.581 | 1.163 | 1.190 | 1.046 | 0.000 |
+2023-09-27 02:49:24,475 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:49:33,114 Epoch: [71][0/84]	Time 5.766s (5.766s)	Speed 11.1 samples/s	Data 4.494s (4.494s)	Loss 0.00033 (0.00033)	Accuracy 0.927 (0.927)
+2023-09-27 02:51:22,597 Test: [0/3]	Time 4.197 (4.197)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2023-09-27 02:51:25,804 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:51:25,804 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:51:25,804 | pose_hrnet | 0.581 | 0.872 | 2.061 | 0.000 | 0.872 | 1.163 | 0.893 | 1.004 | 0.042 |
+2023-09-27 02:51:25,810 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:51:34,812 Epoch: [72][0/84]	Time 5.805s (5.805s)	Speed 11.0 samples/s	Data 4.528s (4.528s)	Loss 0.00031 (0.00031)	Accuracy 0.948 (0.948)
+2023-09-27 02:53:24,213 Test: [0/3]	Time 4.097 (4.097)	Loss 0.0003 (0.0003)	Accuracy 0.922 (0.922)
+2023-09-27 02:53:27,311 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:53:27,311 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:53:27,311 | pose_hrnet | 0.581 | 0.872 | 1.765 | 0.296 | 1.163 | 0.872 | 0.893 | 0.962 | 0.042 |
+2023-09-27 02:53:27,315 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:53:35,781 Epoch: [73][0/84]	Time 5.446s (5.446s)	Speed 11.8 samples/s	Data 4.179s (4.179s)	Loss 0.00029 (0.00029)	Accuracy 0.946 (0.946)
+2023-09-27 02:55:25,203 Test: [0/3]	Time 4.050 (4.050)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2023-09-27 02:55:28,189 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:55:28,190 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:55:28,190 | pose_hrnet | 0.581 | 1.163 | 2.064 | 1.182 | 0.291 | 1.453 | 0.298 | 1.046 | 0.000 |
+2023-09-27 02:55:28,194 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:55:36,581 Epoch: [74][0/84]	Time 5.553s (5.553s)	Speed 11.5 samples/s	Data 4.261s (4.261s)	Loss 0.00027 (0.00027)	Accuracy 0.951 (0.951)
+2023-09-27 02:57:26,254 Test: [0/3]	Time 4.286 (4.286)	Loss 0.0003 (0.0003)	Accuracy 0.926 (0.926)
+2023-09-27 02:57:29,286 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:57:29,286 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:57:29,286 | pose_hrnet | 0.581 | 1.163 | 2.353 | 0.592 | 0.581 | 0.581 | 0.893 | 1.004 | 0.042 |
+2023-09-27 02:57:29,289 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:57:37,524 Epoch: [75][0/84]	Time 5.270s (5.270s)	Speed 12.1 samples/s	Data 3.982s (3.982s)	Loss 0.00033 (0.00033)	Accuracy 0.938 (0.938)
+2023-09-27 02:59:27,165 Test: [0/3]	Time 4.006 (4.006)	Loss 0.0003 (0.0003)	Accuracy 0.930 (0.930)
+2023-09-27 02:59:30,229 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 02:59:30,229 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 02:59:30,229 | pose_hrnet | 0.581 | 2.035 | 2.652 | 0.886 | 1.163 | 1.163 | 0.595 | 1.338 | 0.084 |
+2023-09-27 02:59:30,233 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 02:59:38,928 Epoch: [76][0/84]	Time 5.717s (5.717s)	Speed 11.2 samples/s	Data 4.433s (4.433s)	Loss 0.00029 (0.00029)	Accuracy 0.943 (0.943)
+2023-09-27 03:01:28,018 Test: [0/3]	Time 3.964 (3.964)	Loss 0.0003 (0.0003)	Accuracy 0.932 (0.932)
+2023-09-27 03:01:31,006 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:01:31,006 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:01:31,006 | pose_hrnet | 0.581 | 0.872 | 2.353 | 0.294 | 1.163 | 0.872 | 0.595 | 1.004 | 0.084 |
+2023-09-27 03:01:31,010 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:01:40,054 Epoch: [77][0/84]	Time 5.601s (5.601s)	Speed 11.4 samples/s	Data 4.312s (4.312s)	Loss 0.00033 (0.00033)	Accuracy 0.933 (0.933)
+2023-09-27 03:03:29,618 Test: [0/3]	Time 4.267 (4.267)	Loss 0.0003 (0.0003)	Accuracy 0.930 (0.930)
+2023-09-27 03:03:32,699 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:03:32,699 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:03:32,699 | pose_hrnet | 0.581 | 2.035 | 2.945 | 0.590 | 1.163 | 2.035 | 0.595 | 1.422 | 0.042 |
+2023-09-27 03:03:32,704 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:03:42,231 Epoch: [78][0/84]	Time 5.695s (5.695s)	Speed 11.2 samples/s	Data 4.422s (4.422s)	Loss 0.00031 (0.00031)	Accuracy 0.942 (0.942)
+2023-09-27 03:05:31,785 Test: [0/3]	Time 4.142 (4.142)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2023-09-27 03:05:34,899 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:05:34,899 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:05:34,899 | pose_hrnet | 1.163 | 1.163 | 1.469 | 0.000 | 0.872 | 1.453 | 1.190 | 1.046 | 0.084 |
+2023-09-27 03:05:34,902 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:05:43,563 Epoch: [79][0/84]	Time 5.643s (5.643s)	Speed 11.3 samples/s	Data 4.365s (4.365s)	Loss 0.00032 (0.00032)	Accuracy 0.946 (0.946)
+2023-09-27 03:07:32,830 Test: [0/3]	Time 3.999 (3.999)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2023-09-27 03:07:35,958 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:07:35,958 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:07:35,958 | pose_hrnet | 0.000 | 0.872 | 1.761 | 0.000 | 1.163 | 1.163 | 0.893 | 0.920 | 0.084 |
+2023-09-27 03:07:35,962 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:07:44,366 Epoch: [80][0/84]	Time 5.406s (5.406s)	Speed 11.8 samples/s	Data 4.119s (4.119s)	Loss 0.00029 (0.00029)	Accuracy 0.964 (0.964)
+2023-09-27 03:09:33,994 Test: [0/3]	Time 4.100 (4.100)	Loss 0.0003 (0.0003)	Accuracy 0.918 (0.918)
+2023-09-27 03:09:36,978 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:09:36,978 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:09:36,978 | pose_hrnet | 0.581 | 1.163 | 3.234 | 0.590 | 0.872 | 1.744 | 0.000 | 1.213 | 0.084 |
+2023-09-27 03:09:36,986 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:09:45,594 Epoch: [81][0/84]	Time 5.602s (5.602s)	Speed 11.4 samples/s	Data 4.320s (4.320s)	Loss 0.00029 (0.00029)	Accuracy 0.958 (0.958)
+2023-09-27 03:11:34,696 Test: [0/3]	Time 3.969 (3.969)	Loss 0.0003 (0.0003)	Accuracy 0.926 (0.926)
+2023-09-27 03:11:37,739 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:11:37,739 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:11:37,739 | pose_hrnet | 0.581 | 1.453 | 2.353 | 0.000 | 0.872 | 0.872 | 0.298 | 0.962 | 0.042 |
+2023-09-27 03:11:37,743 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:11:46,248 Epoch: [82][0/84]	Time 5.434s (5.434s)	Speed 11.8 samples/s	Data 4.136s (4.136s)	Loss 0.00033 (0.00033)	Accuracy 0.939 (0.939)
+2023-09-27 03:13:35,651 Test: [0/3]	Time 3.960 (3.960)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2023-09-27 03:13:38,733 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:13:38,733 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:13:38,733 | pose_hrnet | 0.581 | 0.872 | 2.061 | 0.296 | 0.581 | 1.744 | 0.595 | 1.004 | 0.042 |
+2023-09-27 03:13:38,737 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:13:46,846 Epoch: [83][0/84]	Time 5.358s (5.358s)	Speed 11.9 samples/s	Data 4.084s (4.084s)	Loss 0.00027 (0.00027)	Accuracy 0.958 (0.958)
+2023-09-27 03:15:36,369 Test: [0/3]	Time 4.160 (4.160)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2023-09-27 03:15:39,484 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:15:39,485 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:15:39,485 | pose_hrnet | 0.581 | 0.872 | 0.881 | 0.886 | 0.872 | 0.581 | 1.190 | 0.878 | 0.042 |
+2023-09-27 03:15:39,490 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:15:48,129 Epoch: [84][0/84]	Time 5.809s (5.809s)	Speed 11.0 samples/s	Data 4.506s (4.506s)	Loss 0.00026 (0.00026)	Accuracy 0.980 (0.980)
+2023-09-27 03:17:37,660 Test: [0/3]	Time 3.979 (3.979)	Loss 0.0003 (0.0003)	Accuracy 0.922 (0.922)
+2023-09-27 03:17:40,789 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:17:40,789 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:17:40,789 | pose_hrnet | 0.581 | 1.163 | 2.061 | 0.296 | 1.163 | 1.163 | 0.595 | 1.046 | 0.084 |
+2023-09-27 03:17:40,792 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:17:48,970 Epoch: [85][0/84]	Time 5.279s (5.279s)	Speed 12.1 samples/s	Data 4.008s (4.008s)	Loss 0.00027 (0.00027)	Accuracy 0.953 (0.953)
+2023-09-27 03:19:38,694 Test: [0/3]	Time 4.094 (4.094)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2023-09-27 03:19:41,782 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:19:41,782 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:19:41,782 | pose_hrnet | 0.581 | 1.163 | 1.765 | 0.296 | 0.872 | 1.163 | 0.595 | 0.962 | 0.042 |
+2023-09-27 03:19:41,788 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:19:50,097 Epoch: [86][0/84]	Time 5.272s (5.272s)	Speed 12.1 samples/s	Data 4.005s (4.005s)	Loss 0.00030 (0.00030)	Accuracy 0.955 (0.955)
+2023-09-27 03:21:39,793 Test: [0/3]	Time 4.308 (4.308)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2023-09-27 03:21:42,858 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:21:42,858 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:21:42,858 | pose_hrnet | 1.163 | 0.872 | 2.353 | 0.000 | 0.581 | 1.744 | 0.595 | 1.046 | 0.084 |
+2023-09-27 03:21:42,862 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:21:51,358 Epoch: [87][0/84]	Time 5.470s (5.470s)	Speed 11.7 samples/s	Data 4.183s (4.183s)	Loss 0.00027 (0.00027)	Accuracy 0.960 (0.960)
+2023-09-27 03:23:41,156 Test: [0/3]	Time 4.263 (4.263)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2023-09-27 03:23:44,139 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:23:44,139 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:23:44,139 | pose_hrnet | 1.163 | 0.581 | 1.472 | 0.000 | 1.163 | 1.744 | 0.298 | 0.920 | 0.084 |
+2023-09-27 03:23:44,144 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:23:52,267 Epoch: [88][0/84]	Time 5.253s (5.253s)	Speed 12.2 samples/s	Data 3.962s (3.962s)	Loss 0.00027 (0.00027)	Accuracy 0.963 (0.963)
+2023-09-27 03:25:42,131 Test: [0/3]	Time 4.078 (4.078)	Loss 0.0003 (0.0003)	Accuracy 0.931 (0.931)
+2023-09-27 03:25:45,212 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:25:45,212 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:25:45,212 | pose_hrnet | 0.581 | 0.872 | 2.356 | 0.590 | 0.581 | 2.035 | 0.595 | 1.087 | 0.084 |
+2023-09-27 03:25:45,216 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:25:53,675 Epoch: [89][0/84]	Time 5.715s (5.715s)	Speed 11.2 samples/s	Data 4.446s (4.446s)	Loss 0.00028 (0.00028)	Accuracy 0.961 (0.961)
+2023-09-27 03:27:43,291 Test: [0/3]	Time 4.208 (4.208)	Loss 0.0003 (0.0003)	Accuracy 0.920 (0.920)
+2023-09-27 03:27:46,332 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:27:46,332 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:27:46,333 | pose_hrnet | 1.744 | 0.872 | 1.768 | 0.590 | 1.453 | 1.453 | 0.298 | 1.087 | 0.125 |
+2023-09-27 03:27:46,337 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:27:54,763 Epoch: [90][0/84]	Time 5.524s (5.524s)	Speed 11.6 samples/s	Data 4.232s (4.232s)	Loss 0.00030 (0.00030)	Accuracy 0.945 (0.945)
+2023-09-27 03:29:44,083 Test: [0/3]	Time 4.176 (4.176)	Loss 0.0003 (0.0003)	Accuracy 0.931 (0.931)
+2023-09-27 03:29:47,128 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:29:47,128 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:29:47,128 | pose_hrnet | 1.744 | 0.872 | 2.061 | 0.884 | 0.872 | 0.872 | 0.298 | 1.004 | 0.084 |
+2023-09-27 03:29:47,131 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:29:55,673 Epoch: [91][0/84]	Time 5.663s (5.663s)	Speed 11.3 samples/s	Data 4.358s (4.358s)	Loss 0.00028 (0.00028)	Accuracy 0.957 (0.957)
+2023-09-27 03:31:45,202 Test: [0/3]	Time 4.202 (4.202)	Loss 0.0003 (0.0003)	Accuracy 0.930 (0.930)
+2023-09-27 03:31:48,336 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:31:48,336 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:31:48,336 | pose_hrnet | 0.581 | 1.163 | 2.356 | 0.590 | 1.453 | 0.872 | 0.893 | 1.087 | 0.084 |
+2023-09-27 03:31:48,340 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:31:57,211 Epoch: [92][0/84]	Time 5.471s (5.471s)	Speed 11.7 samples/s	Data 4.179s (4.179s)	Loss 0.00029 (0.00029)	Accuracy 0.956 (0.956)
+2023-09-27 03:33:46,802 Test: [0/3]	Time 4.066 (4.066)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2023-09-27 03:33:49,867 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:33:49,867 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:33:49,867 | pose_hrnet | 0.581 | 0.291 | 3.234 | 0.886 | 1.453 | 0.581 | 0.595 | 1.046 | 0.167 |
+2023-09-27 03:33:49,871 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:33:58,969 Epoch: [93][0/84]	Time 6.215s (6.215s)	Speed 10.3 samples/s	Data 4.941s (4.941s)	Loss 0.00029 (0.00029)	Accuracy 0.948 (0.948)
+2023-09-27 03:35:48,179 Test: [0/3]	Time 4.275 (4.275)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2023-09-27 03:35:51,172 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:35:51,172 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:35:51,172 | pose_hrnet | 0.581 | 1.163 | 2.356 | 0.296 | 0.581 | 0.872 | 1.190 | 1.046 | 0.000 |
+2023-09-27 03:35:51,176 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:35:59,872 Epoch: [94][0/84]	Time 5.694s (5.694s)	Speed 11.2 samples/s	Data 4.403s (4.403s)	Loss 0.00028 (0.00028)	Accuracy 0.959 (0.959)
+2023-09-27 03:37:48,934 Test: [0/3]	Time 3.915 (3.915)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2023-09-27 03:37:52,106 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:37:52,106 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:37:52,106 | pose_hrnet | 0.581 | 1.163 | 2.649 | 0.296 | 1.163 | 1.453 | 1.786 | 1.255 | 0.084 |
+2023-09-27 03:37:52,110 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:38:00,453 Epoch: [95][0/84]	Time 5.283s (5.283s)	Speed 12.1 samples/s	Data 4.006s (4.006s)	Loss 0.00029 (0.00029)	Accuracy 0.954 (0.954)
+2023-09-27 03:39:50,214 Test: [0/3]	Time 4.045 (4.045)	Loss 0.0003 (0.0003)	Accuracy 0.915 (0.915)
+2023-09-27 03:39:53,377 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:39:53,377 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:39:53,377 | pose_hrnet | 0.581 | 1.453 | 2.061 | 0.296 | 1.163 | 1.453 | 1.488 | 1.171 | 0.084 |
+2023-09-27 03:39:53,383 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:40:01,406 Epoch: [96][0/84]	Time 5.232s (5.232s)	Speed 12.2 samples/s	Data 3.954s (3.954s)	Loss 0.00031 (0.00031)	Accuracy 0.939 (0.939)
+2023-09-27 03:41:51,144 Test: [0/3]	Time 4.163 (4.163)	Loss 0.0003 (0.0003)	Accuracy 0.918 (0.918)
+2023-09-27 03:41:54,152 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:41:54,152 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:41:54,152 | pose_hrnet | 0.581 | 0.581 | 2.649 | 0.296 | 0.872 | 1.453 | 0.893 | 1.046 | 0.042 |
+2023-09-27 03:41:54,155 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:42:03,297 Epoch: [97][0/84]	Time 5.851s (5.851s)	Speed 10.9 samples/s	Data 4.570s (4.570s)	Loss 0.00029 (0.00029)	Accuracy 0.955 (0.955)
+2023-09-27 03:43:52,571 Test: [0/3]	Time 4.100 (4.100)	Loss 0.0003 (0.0003)	Accuracy 0.928 (0.928)
+2023-09-27 03:43:55,736 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:43:55,736 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:43:55,736 | pose_hrnet | 1.163 | 1.453 | 2.645 | 0.590 | 1.163 | 0.581 | 1.190 | 1.213 | 0.084 |
+2023-09-27 03:43:55,740 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:44:04,638 Epoch: [98][0/84]	Time 5.681s (5.681s)	Speed 11.3 samples/s	Data 4.404s (4.404s)	Loss 0.00028 (0.00028)	Accuracy 0.963 (0.963)
+2023-09-27 03:45:54,124 Test: [0/3]	Time 4.144 (4.144)	Loss 0.0003 (0.0003)	Accuracy 0.932 (0.932)
+2023-09-27 03:45:57,145 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:45:57,145 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:45:57,145 | pose_hrnet | 0.581 | 1.163 | 1.472 | 1.180 | 1.163 | 0.291 | 0.595 | 0.920 | 0.042 |
+2023-09-27 03:45:57,148 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:46:06,183 Epoch: [99][0/84]	Time 5.626s (5.626s)	Speed 11.4 samples/s	Data 4.345s (4.345s)	Loss 0.00027 (0.00027)	Accuracy 0.956 (0.956)
+2023-09-27 03:47:56,018 Test: [0/3]	Time 4.451 (4.451)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2023-09-27 03:47:59,146 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:47:59,146 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:47:59,146 | pose_hrnet | 0.581 | 0.581 | 2.353 | 0.884 | 1.744 | 1.163 | 0.595 | 1.129 | 0.125 |
+2023-09-27 03:47:59,152 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:48:08,083 Epoch: [100][0/84]	Time 5.724s (5.724s)	Speed 11.2 samples/s	Data 4.429s (4.429s)	Loss 0.00027 (0.00027)	Accuracy 0.964 (0.964)
+2023-09-27 03:49:57,672 Test: [0/3]	Time 4.217 (4.217)	Loss 0.0003 (0.0003)	Accuracy 0.926 (0.926)
+2023-09-27 03:50:01,063 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:50:01,063 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:50:01,063 | pose_hrnet | 0.581 | 1.453 | 2.057 | 0.000 | 0.581 | 1.163 | 0.893 | 1.004 | 0.084 |
+2023-09-27 03:50:01,066 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:50:10,286 Epoch: [101][0/84]	Time 5.854s (5.854s)	Speed 10.9 samples/s	Data 4.581s (4.581s)	Loss 0.00027 (0.00027)	Accuracy 0.960 (0.960)
+2023-09-27 03:52:00,044 Test: [0/3]	Time 4.474 (4.474)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2023-09-27 03:52:03,146 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:52:03,147 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:52:03,147 | pose_hrnet | 0.581 | 1.163 | 1.768 | 0.296 | 0.872 | 1.163 | 0.893 | 0.920 | 0.084 |
+2023-09-27 03:52:03,151 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:52:12,074 Epoch: [102][0/84]	Time 5.690s (5.690s)	Speed 11.2 samples/s	Data 4.403s (4.403s)	Loss 0.00026 (0.00026)	Accuracy 0.957 (0.957)
+2023-09-27 03:54:01,670 Test: [0/3]	Time 4.131 (4.131)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2023-09-27 03:54:04,915 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:54:04,915 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:54:04,915 | pose_hrnet | 0.581 | 1.163 | 2.645 | 0.000 | 1.163 | 1.163 | 1.488 | 1.129 | 0.125 |
+2023-09-27 03:54:04,919 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:54:13,691 Epoch: [103][0/84]	Time 5.839s (5.839s)	Speed 11.0 samples/s	Data 4.556s (4.556s)	Loss 0.00030 (0.00030)	Accuracy 0.954 (0.954)
+2023-09-27 03:56:02,957 Test: [0/3]	Time 4.154 (4.154)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2023-09-27 03:56:05,978 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:56:05,978 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:56:05,978 | pose_hrnet | 0.581 | 0.872 | 1.765 | 0.296 | 0.291 | 1.744 | 0.893 | 0.878 | 0.042 |
+2023-09-27 03:56:05,984 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:56:15,094 Epoch: [104][0/84]	Time 5.846s (5.846s)	Speed 10.9 samples/s	Data 4.577s (4.577s)	Loss 0.00028 (0.00028)	Accuracy 0.961 (0.961)
+2023-09-27 03:58:04,277 Test: [0/3]	Time 4.082 (4.082)	Loss 0.0003 (0.0003)	Accuracy 0.913 (0.913)
+2023-09-27 03:58:07,300 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 03:58:07,300 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 03:58:07,300 | pose_hrnet | 0.581 | 1.163 | 2.057 | 0.000 | 1.163 | 0.581 | 1.488 | 1.046 | 0.084 |
+2023-09-27 03:58:07,303 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 03:58:16,333 Epoch: [105][0/84]	Time 5.987s (5.987s)	Speed 10.7 samples/s	Data 4.687s (4.687s)	Loss 0.00026 (0.00026)	Accuracy 0.966 (0.966)
+2023-09-27 04:00:05,729 Test: [0/3]	Time 4.193 (4.193)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2023-09-27 04:00:08,998 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 04:00:08,998 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 04:00:08,998 | pose_hrnet | 0.000 | 1.744 | 1.761 | 0.000 | 1.163 | 0.872 | 0.893 | 0.920 | 0.084 |
+2023-09-27 04:00:09,004 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 04:00:17,265 Epoch: [106][0/84]	Time 5.326s (5.326s)	Speed 12.0 samples/s	Data 4.028s (4.028s)	Loss 0.00027 (0.00027)	Accuracy 0.968 (0.968)
+2023-09-27 04:02:06,949 Test: [0/3]	Time 4.185 (4.185)	Loss 0.0003 (0.0003)	Accuracy 0.917 (0.917)
+2023-09-27 04:02:09,973 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 04:02:09,973 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 04:02:09,973 | pose_hrnet | 0.000 | 1.163 | 1.761 | 0.000 | 1.163 | 0.872 | 0.595 | 0.836 | 0.167 |
+2023-09-27 04:02:09,977 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 04:02:18,686 Epoch: [107][0/84]	Time 5.555s (5.555s)	Speed 11.5 samples/s	Data 4.280s (4.280s)	Loss 0.00028 (0.00028)	Accuracy 0.947 (0.947)
+2023-09-27 04:04:08,106 Test: [0/3]	Time 4.150 (4.150)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2023-09-27 04:04:11,173 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 04:04:11,173 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 04:04:11,173 | pose_hrnet | 0.581 | 0.581 | 2.064 | 0.592 | 0.581 | 1.163 | 1.488 | 1.046 | 0.125 |
+2023-09-27 04:04:11,178 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 04:04:20,272 Epoch: [108][0/84]	Time 5.592s (5.592s)	Speed 11.4 samples/s	Data 4.311s (4.311s)	Loss 0.00027 (0.00027)	Accuracy 0.977 (0.977)
+2023-09-27 04:06:09,965 Test: [0/3]	Time 4.252 (4.252)	Loss 0.0003 (0.0003)	Accuracy 0.910 (0.910)
+2023-09-27 04:06:13,170 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 04:06:13,170 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 04:06:13,170 | pose_hrnet | 0.000 | 0.872 | 1.173 | 0.296 | 1.453 | 1.453 | 1.190 | 1.004 | 0.125 |
+2023-09-27 04:06:13,173 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 04:06:23,882 Epoch: [109][0/84]	Time 5.677s (5.677s)	Speed 11.3 samples/s	Data 4.383s (4.383s)	Loss 0.00026 (0.00026)	Accuracy 0.965 (0.965)
+2023-09-27 04:08:13,509 Test: [0/3]	Time 4.141 (4.141)	Loss 0.0003 (0.0003)	Accuracy 0.919 (0.919)
+2023-09-27 04:08:16,563 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 04:08:16,563 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 04:08:16,563 | pose_hrnet | 0.000 | 1.163 | 2.061 | 0.592 | 0.581 | 0.581 | 1.190 | 0.878 | 0.125 |
+2023-09-27 04:08:16,569 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 04:08:24,924 Epoch: [110][0/84]	Time 5.418s (5.418s)	Speed 11.8 samples/s	Data 4.144s (4.144s)	Loss 0.00026 (0.00026)	Accuracy 0.974 (0.974)
+2023-09-27 04:10:14,154 Test: [0/3]	Time 4.134 (4.134)	Loss 0.0003 (0.0003)	Accuracy 0.931 (0.931)
+2023-09-27 04:10:17,142 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 04:10:17,142 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 04:10:17,142 | pose_hrnet | 0.000 | 0.872 | 0.881 | 0.296 | 0.872 | 1.744 | 1.488 | 0.962 | 0.084 |
+2023-09-27 04:10:17,146 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 04:10:25,886 Epoch: [111][0/84]	Time 5.704s (5.704s)	Speed 11.2 samples/s	Data 4.430s (4.430s)	Loss 0.00026 (0.00026)	Accuracy 0.977 (0.977)
+2023-09-27 04:12:15,710 Test: [0/3]	Time 4.409 (4.409)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2023-09-27 04:12:18,773 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 04:12:18,773 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 04:12:18,774 | pose_hrnet | 0.581 | 0.581 | 2.350 | 0.590 | 0.872 | 0.872 | 0.595 | 0.920 | 0.084 |
+2023-09-27 04:12:18,779 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 04:12:28,320 Epoch: [112][0/84]	Time 5.869s (5.869s)	Speed 10.9 samples/s	Data 4.570s (4.570s)	Loss 0.00026 (0.00026)	Accuracy 0.962 (0.962)
+2023-09-27 04:14:17,772 Test: [0/3]	Time 4.134 (4.134)	Loss 0.0003 (0.0003)	Accuracy 0.928 (0.928)
+2023-09-27 04:14:20,826 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 04:14:20,826 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 04:14:20,826 | pose_hrnet | 0.581 | 1.453 | 2.941 | 0.886 | 1.453 | 1.163 | 1.786 | 1.464 | 0.167 |
+2023-09-27 04:14:20,830 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 04:14:31,114 Epoch: [113][0/84]	Time 5.720s (5.720s)	Speed 11.2 samples/s	Data 4.442s (4.442s)	Loss 0.00024 (0.00024)	Accuracy 0.965 (0.965)
+2023-09-27 04:16:20,540 Test: [0/3]	Time 4.133 (4.133)	Loss 0.0003 (0.0003)	Accuracy 0.920 (0.920)
+2023-09-27 04:16:23,650 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 04:16:23,650 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 04:16:23,650 | pose_hrnet | 0.000 | 0.872 | 2.346 | 0.296 | 0.291 | 0.872 | 1.190 | 0.878 | 0.084 |
+2023-09-27 04:16:23,656 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 04:16:32,066 Epoch: [114][0/84]	Time 5.287s (5.287s)	Speed 12.1 samples/s	Data 4.008s (4.008s)	Loss 0.00028 (0.00028)	Accuracy 0.964 (0.964)
+2023-09-27 04:18:22,144 Test: [0/3]	Time 4.468 (4.468)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2023-09-27 04:18:25,427 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2023-09-27 04:18:25,427 |---|---|---|---|---|---|---|---|---|---|
+2023-09-27 04:18:25,427 | pose_hrnet | 0.000 | 1.163 | 2.642 | 0.296 | 1.453 | 0.581 | 1.190 | 1.087 | 0.125 |
+2023-09-27 04:18:25,431 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2023-09-27 04:18:34,402 Epoch: [115][0/84]	Time 5.950s (5.950s)	Speed 10.8 samples/s	Data 4.671s (4.671s)	Loss 0.00028 (0.00028)	Accuracy 0.952 (0.952)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-03-15_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-03-15_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..79faacec8e583d93d44204160c3b69bd44cfcdb7
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2023-09-27-03-15_train.log
@@ -0,0 +1,104 @@
+2023-09-27 03:15:06,001 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2023-09-27 03:15:06,001 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 64
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2023-09-27 03:15:06,327 => init weights from normal distribution
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-02-03_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-02-03_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..555e6641125f4ae30d29af2874c4b510268b3d95
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-02-03_train.log
@@ -0,0 +1,147 @@
+2024-01-16 02:03:29,210 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2024-01-16 02:03:29,211 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: pose_train
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 64
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2024-01-16 02:03:29,660 => init weights from normal distribution
+2024-01-16 02:03:39,268 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2024-01-16 02:03:57,836 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2024-01-16 02:04:02,312 => load 57 samples
+2024-01-16 02:04:02,361 => load 172 samples
+2024-01-16 02:04:02,414 => loading checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth'
+2024-01-16 02:04:12,917 => loaded checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth' (epoch 115)
+2024-01-16 02:04:36,318 Epoch: [115][0/1]	Time 23.390s (23.390s)	Speed 2.4 samples/s	Data 2.134s (2.134s)	Loss 0.00105 (0.00105)	Accuracy 0.477 (0.477)
+2024-01-16 02:04:43,325 Test: [0/3]	Time 5.438 (5.438)	Loss 0.0003 (0.0003)	Accuracy 0.929 (0.929)
+2024-01-16 02:04:47,031 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 02:04:47,031 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 02:04:47,031 | pose_hrnet | 0.581 | 1.163 | 2.350 | 0.888 | 1.163 | 1.163 | 0.893 | 1.171 | 0.125 |
+2024-01-16 02:04:47,816 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 02:04:54,173 Epoch: [116][0/1]	Time 2.989s (2.989s)	Speed 19.1 samples/s	Data 1.706s (1.706s)	Loss 0.00096 (0.00096)	Accuracy 0.511 (0.511)
+2024-01-16 02:04:59,792 Test: [0/3]	Time 4.158 (4.158)	Loss 0.0003 (0.0003)	Accuracy 0.928 (0.928)
+2024-01-16 02:05:02,933 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 02:05:02,933 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 02:05:02,933 | pose_hrnet | 0.581 | 1.163 | 2.350 | 0.888 | 1.163 | 1.163 | 0.000 | 1.087 | 0.125 |
+2024-01-16 02:05:02,937 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 02:05:08,644 Epoch: [117][0/1]	Time 3.015s (3.015s)	Speed 18.9 samples/s	Data 1.730s (1.730s)	Loss 0.00093 (0.00093)	Accuracy 0.519 (0.519)
+2024-01-16 02:05:13,986 Test: [0/3]	Time 3.794 (3.794)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2024-01-16 02:05:17,103 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 02:05:17,103 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 02:05:17,103 | pose_hrnet | 0.581 | 0.581 | 2.057 | 0.296 | 1.163 | 1.163 | 0.298 | 0.920 | 0.084 |
+2024-01-16 02:05:17,107 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 02:05:23,014 Epoch: [118][0/1]	Time 3.096s (3.096s)	Speed 18.4 samples/s	Data 1.818s (1.818s)	Loss 0.00076 (0.00076)	Accuracy 0.587 (0.587)
+2024-01-16 02:05:28,259 Test: [0/3]	Time 3.744 (3.744)	Loss 0.0004 (0.0004)	Accuracy 0.922 (0.922)
+2024-01-16 02:05:31,353 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 02:05:31,353 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 02:05:31,353 | pose_hrnet | 0.581 | 0.581 | 1.761 | 0.590 | 1.453 | 0.581 | 0.298 | 0.836 | 0.084 |
+2024-01-16 02:05:31,357 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 02:05:37,368 Epoch: [119][0/1]	Time 2.995s (2.995s)	Speed 19.0 samples/s	Data 1.732s (1.732s)	Loss 0.00086 (0.00086)	Accuracy 0.561 (0.561)
+2024-01-16 02:05:47,197 Test: [0/3]	Time 8.360 (8.360)	Loss 0.0004 (0.0004)	Accuracy 0.913 (0.913)
+2024-01-16 02:05:50,236 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 02:05:50,237 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 02:05:50,237 | pose_hrnet | 0.581 | 0.291 | 1.462 | 0.590 | 1.453 | 0.000 | 0.298 | 0.627 | 0.084 |
+2024-01-16 02:05:50,240 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 02:05:56,048 Epoch: [120][0/1]	Time 3.174s (3.174s)	Speed 18.0 samples/s	Data 1.912s (1.912s)	Loss 0.00083 (0.00083)	Accuracy 0.605 (0.605)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-11-08_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-11-08_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..8c0891fef21512668f87be5c2bdff623aba71d2e
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-11-08_train.log
@@ -0,0 +1,117 @@
+2024-01-16 11:08:34,328 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2024-01-16 11:08:34,328 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train_all
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 64
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2024-01-16 11:08:34,781 => init weights from normal distribution
+2024-01-16 11:08:43,845 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2024-01-16 11:09:00,776 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2024-01-16 11:09:05,338 => load 5627 samples
+2024-01-16 11:09:05,398 => load 172 samples
+2024-01-16 11:09:05,457 => loading checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth'
+2024-01-16 11:09:14,355 => loaded checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth' (epoch 120)
+2024-01-16 11:09:39,481 Epoch: [120][0/88]	Time 25.115s (25.115s)	Speed 2.5 samples/s	Data 4.872s (4.872s)	Loss 0.00041 (0.00041)	Accuracy 0.951 (0.951)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-11-12_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-11-12_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..3bf7bca6c9aab34cb7d46a143fbf483237985930
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-11-12_train.log
@@ -0,0 +1,118 @@
+2024-01-16 11:12:11,560 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2024-01-16 11:12:11,560 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train_all
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 64
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2024-01-16 11:12:11,876 => init weights from normal distribution
+2024-01-16 11:12:14,863 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2024-01-16 11:12:22,857 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2024-01-16 11:12:23,848 => load 5626 samples
+2024-01-16 11:12:23,878 => load 173 samples
+2024-01-16 11:12:23,959 => loading checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth'
+2024-01-16 11:12:33,404 => loaded checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth' (epoch 120)
+2024-01-16 11:12:46,900 Epoch: [120][0/88]	Time 13.491s (13.491s)	Speed 4.7 samples/s	Data 4.892s (4.892s)	Loss 0.00042 (0.00042)	Accuracy 0.956 (0.956)
+2024-01-16 11:14:46,018 Test: [0/3]	Time 4.593 (4.593)	Loss 0.0003 (0.0003)	Accuracy 0.930 (0.930)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-11-22_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-11-22_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..bc72314b05c4e33c4291b1315d54f2445e61a0f8
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-11-22_train.log
@@ -0,0 +1,118 @@
+2024-01-16 11:22:42,568 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2024-01-16 11:22:42,568 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid_new
+  TRAIN_SET: train_all
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 64
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2024-01-16 11:22:42,884 => init weights from normal distribution
+2024-01-16 11:22:46,695 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2024-01-16 11:22:54,829 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2024-01-16 11:22:55,783 => load 5527 samples
+2024-01-16 11:22:55,822 => load 272 samples
+2024-01-16 11:22:55,903 => loading checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth'
+2024-01-16 11:23:04,746 => loaded checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth' (epoch 120)
+2024-01-16 11:23:17,692 Epoch: [120][0/87]	Time 12.941s (12.941s)	Speed 4.9 samples/s	Data 4.397s (4.397s)	Loss 0.00040 (0.00040)	Accuracy 0.960 (0.960)
+2024-01-16 11:25:09,175 Test: [0/5]	Time 3.853 (3.853)	Loss 0.0003 (0.0003)	Accuracy 0.926 (0.926)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-11-26_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-11-26_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..2a6fd905bb37673983996bf9518154cd97ef5a58
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-11-26_train.log
@@ -0,0 +1,207 @@
+2024-01-16 11:26:14,648 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2024-01-16 11:26:14,648 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train_all
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 64
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2024-01-16 11:26:14,967 => init weights from normal distribution
+2024-01-16 11:26:18,420 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2024-01-16 11:26:26,476 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2024-01-16 11:26:27,421 => load 5527 samples
+2024-01-16 11:26:27,465 => load 272 samples
+2024-01-16 11:26:27,541 => loading checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth'
+2024-01-16 11:26:36,310 => loaded checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth' (epoch 120)
+2024-01-16 11:26:49,451 Epoch: [120][0/87]	Time 13.136s (13.136s)	Speed 4.9 samples/s	Data 4.428s (4.428s)	Loss 0.00039 (0.00039)	Accuracy 0.964 (0.964)
+2024-01-16 11:28:43,812 Test: [0/5]	Time 3.818 (3.818)	Loss 0.0003 (0.0003)	Accuracy 0.933 (0.933)
+2024-01-16 11:28:48,304 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:28:48,304 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:28:48,304 | pose_hrnet | 0.735 | 0.919 | 1.663 | 0.556 | 1.287 | 1.287 | 0.560 | 1.082 | 0.106 |
+2024-01-16 11:28:49,107 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:28:58,718 Epoch: [121][0/87]	Time 5.860s (5.860s)	Speed 10.9 samples/s	Data 4.546s (4.546s)	Loss 0.00030 (0.00030)	Accuracy 0.940 (0.940)
+2024-01-16 11:30:55,410 Test: [0/5]	Time 3.891 (3.891)	Loss 0.0003 (0.0003)	Accuracy 0.929 (0.929)
+2024-01-16 11:30:59,538 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:30:59,538 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:30:59,538 | pose_hrnet | 0.368 | 1.103 | 1.852 | 0.742 | 2.022 | 0.735 | 0.000 | 1.055 | 0.106 |
+2024-01-16 11:30:59,541 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:31:08,382 Epoch: [122][0/87]	Time 5.821s (5.821s)	Speed 11.0 samples/s	Data 4.482s (4.482s)	Loss 0.00029 (0.00029)	Accuracy 0.943 (0.943)
+2024-01-16 11:33:06,142 Test: [0/5]	Time 4.090 (4.090)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2024-01-16 11:33:10,287 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:33:10,287 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:33:10,287 | pose_hrnet | 0.368 | 1.103 | 1.482 | 1.298 | 0.919 | 0.919 | 0.746 | 1.055 | 0.132 |
+2024-01-16 11:33:10,291 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:33:18,959 Epoch: [123][0/87]	Time 5.647s (5.647s)	Speed 11.3 samples/s	Data 4.314s (4.314s)	Loss 0.00026 (0.00026)	Accuracy 0.958 (0.958)
+2024-01-16 11:35:16,523 Test: [0/5]	Time 3.843 (3.843)	Loss 0.0003 (0.0003)	Accuracy 0.936 (0.936)
+2024-01-16 11:35:20,689 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:35:20,690 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:35:20,690 | pose_hrnet | 0.735 | 0.368 | 1.482 | 0.186 | 1.287 | 1.103 | 0.746 | 0.923 | 0.053 |
+2024-01-16 11:35:20,693 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:35:29,178 Epoch: [124][0/87]	Time 5.660s (5.660s)	Speed 11.3 samples/s	Data 4.342s (4.342s)	Loss 0.00027 (0.00027)	Accuracy 0.970 (0.970)
+2024-01-16 11:37:27,067 Test: [0/5]	Time 3.699 (3.699)	Loss 0.0003 (0.0003)	Accuracy 0.932 (0.932)
+2024-01-16 11:37:31,274 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:37:31,275 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:37:31,275 | pose_hrnet | 0.735 | 0.919 | 1.111 | 1.112 | 1.287 | 1.103 | 0.560 | 1.055 | 0.106 |
+2024-01-16 11:37:31,278 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:37:39,575 Epoch: [125][0/87]	Time 5.427s (5.427s)	Speed 11.8 samples/s	Data 4.096s (4.096s)	Loss 0.00030 (0.00030)	Accuracy 0.947 (0.947)
+2024-01-16 11:39:37,449 Test: [0/5]	Time 3.808 (3.808)	Loss 0.0003 (0.0003)	Accuracy 0.920 (0.920)
+2024-01-16 11:39:41,587 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:39:41,587 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:39:41,587 | pose_hrnet | 0.735 | 1.103 | 1.667 | 0.742 | 0.919 | 0.919 | 0.746 | 1.002 | 0.079 |
+2024-01-16 11:39:41,590 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:39:49,486 Epoch: [126][0/87]	Time 5.583s (5.583s)	Speed 11.5 samples/s	Data 4.267s (4.267s)	Loss 0.00028 (0.00028)	Accuracy 0.949 (0.949)
+2024-01-16 11:41:47,283 Test: [0/5]	Time 3.808 (3.808)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2024-01-16 11:41:51,467 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:41:51,468 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:41:51,468 | pose_hrnet | 0.368 | 1.103 | 1.853 | 0.741 | 0.735 | 1.103 | 0.746 | 1.055 | 0.079 |
+2024-01-16 11:41:51,471 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:41:59,736 Epoch: [127][0/87]	Time 5.159s (5.159s)	Speed 12.4 samples/s	Data 3.820s (3.820s)	Loss 0.00022 (0.00022)	Accuracy 0.977 (0.977)
+2024-01-16 11:43:57,845 Test: [0/5]	Time 3.863 (3.863)	Loss 0.0003 (0.0003)	Accuracy 0.917 (0.917)
+2024-01-16 11:44:02,080 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:44:02,080 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:44:02,080 | pose_hrnet | 0.368 | 0.368 | 1.665 | 0.556 | 1.103 | 0.735 | 0.187 | 0.818 | 0.079 |
+2024-01-16 11:44:02,083 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:44:10,535 Epoch: [128][0/87]	Time 5.708s (5.708s)	Speed 11.2 samples/s	Data 4.359s (4.359s)	Loss 0.00025 (0.00025)	Accuracy 0.967 (0.967)
+2024-01-16 11:46:08,560 Test: [0/5]	Time 4.127 (4.127)	Loss 0.0003 (0.0003)	Accuracy 0.926 (0.926)
+2024-01-16 11:46:12,766 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:46:12,766 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:46:12,766 | pose_hrnet | 1.103 | 0.551 | 0.925 | 0.742 | 0.735 | 0.735 | 0.373 | 0.739 | 0.079 |
+2024-01-16 11:46:12,769 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:46:21,148 Epoch: [129][0/87]	Time 5.414s (5.414s)	Speed 11.8 samples/s	Data 4.073s (4.073s)	Loss 0.00029 (0.00029)	Accuracy 0.940 (0.940)
+2024-01-16 11:48:19,129 Test: [0/5]	Time 3.883 (3.883)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2024-01-16 11:48:23,380 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:48:23,380 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:48:23,380 | pose_hrnet | 0.368 | 0.368 | 1.110 | 0.556 | 1.471 | 1.103 | 1.119 | 0.976 | 0.053 |
+2024-01-16 11:48:23,383 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:48:31,909 Epoch: [130][0/87]	Time 5.627s (5.627s)	Speed 11.4 samples/s	Data 4.278s (4.278s)	Loss 0.00027 (0.00027)	Accuracy 0.955 (0.955)
+2024-01-16 11:50:29,567 Test: [0/5]	Time 3.824 (3.824)	Loss 0.0003 (0.0003)	Accuracy 0.931 (0.931)
+2024-01-16 11:50:33,730 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:50:33,730 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:50:33,730 | pose_hrnet | 1.103 | 0.919 | 1.480 | 1.113 | 0.735 | 1.471 | 0.560 | 1.055 | 0.053 |
+2024-01-16 11:50:33,734 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:50:41,309 Epoch: [131][0/87]	Time 5.153s (5.153s)	Speed 12.4 samples/s	Data 3.820s (3.820s)	Loss 0.00027 (0.00027)	Accuracy 0.948 (0.948)
+2024-01-16 11:52:39,391 Test: [0/5]	Time 3.918 (3.918)	Loss 0.0003 (0.0003)	Accuracy 0.929 (0.929)
+2024-01-16 11:52:43,614 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:52:43,614 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:52:43,614 | pose_hrnet | 1.103 | 0.919 | 1.851 | 0.556 | 0.919 | 0.551 | 0.187 | 0.923 | 0.079 |
+2024-01-16 11:52:43,618 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:52:51,898 Epoch: [132][0/87]	Time 5.576s (5.576s)	Speed 11.5 samples/s	Data 4.240s (4.240s)	Loss 0.00028 (0.00028)	Accuracy 0.949 (0.949)
+2024-01-16 11:54:49,805 Test: [0/5]	Time 3.905 (3.905)	Loss 0.0003 (0.0003)	Accuracy 0.926 (0.926)
+2024-01-16 11:54:53,943 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:54:53,943 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:54:53,943 | pose_hrnet | 0.368 | 0.735 | 1.294 | 0.556 | 0.551 | 2.022 | 0.000 | 0.818 | 0.079 |
+2024-01-16 11:54:53,946 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:55:03,593 Epoch: [133][0/87]	Time 5.381s (5.381s)	Speed 11.9 samples/s	Data 4.045s (4.045s)	Loss 0.00028 (0.00028)	Accuracy 0.956 (0.956)
+2024-01-16 11:57:01,644 Test: [0/5]	Time 3.845 (3.845)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2024-01-16 11:57:05,923 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:57:05,923 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:57:05,923 | pose_hrnet | 1.103 | 0.919 | 1.296 | 0.371 | 0.735 | 0.735 | 1.306 | 0.950 | 0.106 |
+2024-01-16 11:57:05,927 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:57:14,303 Epoch: [134][0/87]	Time 5.815s (5.815s)	Speed 11.0 samples/s	Data 4.497s (4.497s)	Loss 0.00024 (0.00024)	Accuracy 0.982 (0.982)
+2024-01-16 11:59:12,164 Test: [0/5]	Time 3.984 (3.984)	Loss 0.0003 (0.0003)	Accuracy 0.922 (0.922)
+2024-01-16 11:59:16,387 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 11:59:16,388 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 11:59:16,388 | pose_hrnet | 0.735 | 0.919 | 1.665 | 0.556 | 1.103 | 0.919 | 0.000 | 0.923 | 0.106 |
+2024-01-16 11:59:16,391 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 11:59:24,790 Epoch: [135][0/87]	Time 5.768s (5.768s)	Speed 11.1 samples/s	Data 4.429s (4.429s)	Loss 0.00025 (0.00025)	Accuracy 0.967 (0.967)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-12-10_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-12-10_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..d0a1caa34d259af579d2bf22188fb862ed5da61b
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-16-12-10_train.log
@@ -0,0 +1,567 @@
+2024-01-16 12:10:55,032 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2024-01-16 12:10:55,032 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train_all
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 64
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2024-01-16 12:10:55,354 => init weights from normal distribution
+2024-01-16 12:10:58,858 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2024-01-16 12:11:07,042 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2024-01-16 12:11:08,010 => load 5027 samples
+2024-01-16 12:11:08,078 => load 772 samples
+2024-01-16 12:11:08,162 => loading checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth'
+2024-01-16 12:11:17,511 => loaded checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth' (epoch 135)
+2024-01-16 12:11:30,613 Epoch: [135][0/79]	Time 13.097s (13.097s)	Speed 4.9 samples/s	Data 4.642s (4.642s)	Loss 0.00029 (0.00029)	Accuracy 0.953 (0.953)
+2024-01-16 12:13:15,298 Test: [0/13]	Time 5.367 (5.367)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2024-01-16 12:13:27,153 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:13:27,153 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:13:27,153 | pose_hrnet | 1.813 | 2.008 | 2.668 | 1.823 | 2.850 | 2.720 | 1.432 | 2.188 | 0.130 |
+2024-01-16 12:13:28,038 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:13:36,976 Epoch: [136][0/79]	Time 5.328s (5.328s)	Speed 12.0 samples/s	Data 4.049s (4.049s)	Loss 0.00024 (0.00024)	Accuracy 0.971 (0.971)
+2024-01-16 12:15:23,257 Test: [0/13]	Time 5.331 (5.331)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2024-01-16 12:15:34,849 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:15:34,850 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:15:34,850 | pose_hrnet | 1.813 | 2.073 | 2.277 | 1.693 | 2.332 | 3.109 | 1.693 | 2.160 | 0.130 |
+2024-01-16 12:15:34,853 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:15:43,219 Epoch: [137][0/79]	Time 5.474s (5.474s)	Speed 11.7 samples/s	Data 4.162s (4.162s)	Loss 0.00023 (0.00023)	Accuracy 0.979 (0.979)
+2024-01-16 12:17:30,641 Test: [0/13]	Time 5.408 (5.408)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2024-01-16 12:17:42,169 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:17:42,169 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:17:42,169 | pose_hrnet | 1.943 | 1.878 | 2.017 | 1.497 | 2.526 | 3.044 | 1.628 | 2.077 | 0.139 |
+2024-01-16 12:17:42,173 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:17:50,287 Epoch: [138][0/79]	Time 5.638s (5.638s)	Speed 11.4 samples/s	Data 4.330s (4.330s)	Loss 0.00030 (0.00030)	Accuracy 0.951 (0.951)
+2024-01-16 12:19:38,221 Test: [0/13]	Time 5.495 (5.495)	Loss 0.0003 (0.0003)	Accuracy 0.930 (0.930)
+2024-01-16 12:19:49,836 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:19:49,836 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:19:49,836 | pose_hrnet | 1.813 | 1.684 | 2.407 | 1.107 | 2.008 | 3.174 | 1.693 | 1.984 | 0.083 |
+2024-01-16 12:19:49,839 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:19:57,854 Epoch: [139][0/79]	Time 5.573s (5.573s)	Speed 11.5 samples/s	Data 4.270s (4.270s)	Loss 0.00025 (0.00025)	Accuracy 0.964 (0.964)
+2024-01-16 12:21:45,738 Test: [0/13]	Time 5.419 (5.419)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2024-01-16 12:21:57,510 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:21:57,510 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:21:57,510 | pose_hrnet | 2.073 | 1.554 | 2.667 | 1.758 | 2.396 | 3.044 | 1.823 | 2.188 | 0.102 |
+2024-01-16 12:21:57,513 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:22:07,023 Epoch: [140][0/79]	Time 5.797s (5.797s)	Speed 11.0 samples/s	Data 4.492s (4.492s)	Loss 0.00025 (0.00025)	Accuracy 0.968 (0.968)
+2024-01-16 12:23:54,715 Test: [0/13]	Time 5.441 (5.441)	Loss 0.0003 (0.0003)	Accuracy 0.933 (0.933)
+2024-01-16 12:24:06,067 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:24:06,067 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:24:06,067 | pose_hrnet | 1.684 | 2.267 | 2.472 | 1.302 | 2.396 | 3.044 | 1.758 | 2.179 | 0.121 |
+2024-01-16 12:24:06,070 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:24:14,940 Epoch: [141][0/79]	Time 6.065s (6.065s)	Speed 10.6 samples/s	Data 4.738s (4.738s)	Loss 0.00025 (0.00025)	Accuracy 0.981 (0.981)
+2024-01-16 12:26:02,700 Test: [0/13]	Time 5.423 (5.423)	Loss 0.0003 (0.0003)	Accuracy 0.930 (0.930)
+2024-01-16 12:26:14,225 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:26:14,225 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:26:14,225 | pose_hrnet | 1.425 | 2.073 | 1.757 | 1.693 | 2.461 | 2.785 | 1.562 | 1.975 | 0.111 |
+2024-01-16 12:26:14,229 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:26:22,924 Epoch: [142][0/79]	Time 5.726s (5.726s)	Speed 11.2 samples/s	Data 4.403s (4.403s)	Loss 0.00028 (0.00028)	Accuracy 0.960 (0.960)
+2024-01-16 12:28:10,822 Test: [0/13]	Time 5.488 (5.488)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2024-01-16 12:28:22,434 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:28:22,434 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:28:22,434 | pose_hrnet | 1.425 | 1.101 | 2.408 | 1.628 | 2.526 | 2.332 | 1.953 | 1.938 | 0.158 |
+2024-01-16 12:28:22,437 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:28:30,545 Epoch: [143][0/79]	Time 5.552s (5.552s)	Speed 11.5 samples/s	Data 4.242s (4.242s)	Loss 0.00024 (0.00024)	Accuracy 0.962 (0.962)
+2024-01-16 12:30:18,337 Test: [0/13]	Time 5.377 (5.377)	Loss 0.0003 (0.0003)	Accuracy 0.928 (0.928)
+2024-01-16 12:30:29,934 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:30:29,934 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:30:29,934 | pose_hrnet | 1.684 | 1.554 | 1.952 | 1.497 | 2.526 | 2.979 | 1.432 | 1.956 | 0.093 |
+2024-01-16 12:30:29,937 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:30:38,745 Epoch: [144][0/79]	Time 5.902s (5.902s)	Speed 10.8 samples/s	Data 4.568s (4.568s)	Loss 0.00021 (0.00021)	Accuracy 0.983 (0.983)
+2024-01-16 12:32:26,945 Test: [0/13]	Time 5.905 (5.905)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2024-01-16 12:32:38,433 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:32:38,434 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:32:38,434 | pose_hrnet | 1.554 | 1.684 | 2.472 | 2.083 | 2.591 | 2.979 | 1.562 | 2.188 | 0.111 |
+2024-01-16 12:32:38,437 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:32:49,464 Epoch: [145][0/79]	Time 5.745s (5.745s)	Speed 11.1 samples/s	Data 4.424s (4.424s)	Loss 0.00025 (0.00025)	Accuracy 0.962 (0.962)
+2024-01-16 12:34:37,447 Test: [0/13]	Time 5.587 (5.587)	Loss 0.0003 (0.0003)	Accuracy 0.931 (0.931)
+2024-01-16 12:34:48,746 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:34:48,746 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:34:48,746 | pose_hrnet | 1.554 | 2.137 | 2.407 | 1.562 | 3.238 | 3.368 | 1.432 | 2.299 | 0.121 |
+2024-01-16 12:34:48,749 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:34:57,818 Epoch: [146][0/79]	Time 5.557s (5.557s)	Speed 11.5 samples/s	Data 4.230s (4.230s)	Loss 0.00023 (0.00023)	Accuracy 0.967 (0.967)
+2024-01-16 12:36:45,712 Test: [0/13]	Time 5.520 (5.520)	Loss 0.0003 (0.0003)	Accuracy 0.926 (0.926)
+2024-01-16 12:36:57,264 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:36:57,264 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:36:57,264 | pose_hrnet | 1.554 | 2.202 | 2.277 | 1.562 | 2.720 | 3.562 | 1.562 | 2.244 | 0.093 |
+2024-01-16 12:36:57,268 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:37:05,251 Epoch: [147][0/79]	Time 5.348s (5.348s)	Speed 12.0 samples/s	Data 4.031s (4.031s)	Loss 0.00024 (0.00024)	Accuracy 0.967 (0.967)
+2024-01-16 12:38:53,682 Test: [0/13]	Time 5.682 (5.682)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2024-01-16 12:39:04,888 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:39:04,888 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:39:04,888 | pose_hrnet | 1.813 | 2.073 | 2.082 | 1.562 | 2.591 | 2.979 | 1.758 | 2.123 | 0.130 |
+2024-01-16 12:39:04,891 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:39:14,187 Epoch: [148][0/79]	Time 5.623s (5.623s)	Speed 11.4 samples/s	Data 4.306s (4.306s)	Loss 0.00023 (0.00023)	Accuracy 0.982 (0.982)
+2024-01-16 12:41:02,267 Test: [0/13]	Time 5.620 (5.620)	Loss 0.0003 (0.0003)	Accuracy 0.926 (0.926)
+2024-01-16 12:41:13,974 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:41:13,974 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:41:13,974 | pose_hrnet | 1.813 | 1.619 | 2.602 | 1.562 | 2.332 | 2.915 | 1.693 | 2.058 | 0.111 |
+2024-01-16 12:41:13,978 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:41:22,316 Epoch: [149][0/79]	Time 5.440s (5.440s)	Speed 11.8 samples/s	Data 4.111s (4.111s)	Loss 0.00027 (0.00027)	Accuracy 0.950 (0.950)
+2024-01-16 12:43:10,564 Test: [0/13]	Time 5.554 (5.554)	Loss 0.0003 (0.0003)	Accuracy 0.922 (0.922)
+2024-01-16 12:43:21,964 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:43:21,964 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:43:21,964 | pose_hrnet | 1.425 | 1.425 | 1.952 | 1.628 | 2.850 | 3.497 | 1.693 | 2.068 | 0.121 |
+2024-01-16 12:43:21,967 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:43:30,105 Epoch: [150][0/79]	Time 5.140s (5.140s)	Speed 12.5 samples/s	Data 3.829s (3.829s)	Loss 0.00023 (0.00023)	Accuracy 0.973 (0.973)
+2024-01-16 12:45:18,559 Test: [0/13]	Time 5.490 (5.490)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2024-01-16 12:45:30,417 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:45:30,417 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:45:30,417 | pose_hrnet | 1.813 | 1.749 | 2.017 | 1.367 | 1.943 | 3.627 | 1.823 | 2.031 | 0.102 |
+2024-01-16 12:45:30,420 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:45:39,463 Epoch: [151][0/79]	Time 5.772s (5.772s)	Speed 11.1 samples/s	Data 4.462s (4.462s)	Loss 0.00023 (0.00023)	Accuracy 0.969 (0.969)
+2024-01-16 12:47:26,972 Test: [0/13]	Time 5.251 (5.251)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2024-01-16 12:47:38,919 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:47:38,919 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:47:38,919 | pose_hrnet | 1.943 | 1.619 | 2.082 | 1.823 | 1.554 | 3.692 | 1.693 | 2.086 | 0.111 |
+2024-01-16 12:47:38,922 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:47:47,966 Epoch: [152][0/79]	Time 5.855s (5.855s)	Speed 10.9 samples/s	Data 4.521s (4.521s)	Loss 0.00025 (0.00025)	Accuracy 0.974 (0.974)
+2024-01-16 12:49:36,122 Test: [0/13]	Time 5.622 (5.622)	Loss 0.0003 (0.0003)	Accuracy 0.932 (0.932)
+2024-01-16 12:49:47,432 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:49:47,432 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:49:47,432 | pose_hrnet | 2.073 | 1.490 | 1.821 | 1.302 | 2.137 | 3.433 | 1.432 | 1.975 | 0.093 |
+2024-01-16 12:49:47,436 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:49:55,849 Epoch: [153][0/79]	Time 5.581s (5.581s)	Speed 11.5 samples/s	Data 4.280s (4.280s)	Loss 0.00024 (0.00024)	Accuracy 0.966 (0.966)
+2024-01-16 12:51:43,706 Test: [0/13]	Time 5.242 (5.242)	Loss 0.0003 (0.0003)	Accuracy 0.920 (0.920)
+2024-01-16 12:51:55,733 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:51:55,733 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:51:55,733 | pose_hrnet | 1.684 | 1.425 | 2.017 | 1.432 | 1.943 | 3.627 | 1.758 | 2.031 | 0.130 |
+2024-01-16 12:51:55,736 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:52:03,950 Epoch: [154][0/79]	Time 5.463s (5.463s)	Speed 11.7 samples/s	Data 4.147s (4.147s)	Loss 0.00022 (0.00022)	Accuracy 0.979 (0.979)
+2024-01-16 12:53:51,993 Test: [0/13]	Time 5.629 (5.629)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2024-01-16 12:54:03,813 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:54:03,813 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:54:03,813 | pose_hrnet | 1.166 | 1.490 | 1.431 | 1.497 | 2.073 | 3.109 | 1.367 | 1.771 | 0.130 |
+2024-01-16 12:54:03,817 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:54:12,153 Epoch: [155][0/79]	Time 5.546s (5.546s)	Speed 11.5 samples/s	Data 4.246s (4.246s)	Loss 0.00022 (0.00022)	Accuracy 0.976 (0.976)
+2024-01-16 12:56:00,032 Test: [0/13]	Time 5.280 (5.280)	Loss 0.0003 (0.0003)	Accuracy 0.929 (0.929)
+2024-01-16 12:56:11,863 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:56:11,863 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:56:11,863 | pose_hrnet | 1.684 | 1.619 | 2.147 | 1.693 | 2.396 | 2.979 | 1.562 | 1.975 | 0.102 |
+2024-01-16 12:56:11,866 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:56:20,166 Epoch: [156][0/79]	Time 5.619s (5.619s)	Speed 11.4 samples/s	Data 4.290s (4.290s)	Loss 0.00026 (0.00026)	Accuracy 0.958 (0.958)
+2024-01-16 12:58:08,070 Test: [0/13]	Time 5.470 (5.470)	Loss 0.0003 (0.0003)	Accuracy 0.923 (0.923)
+2024-01-16 12:58:19,805 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 12:58:19,805 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 12:58:19,805 | pose_hrnet | 1.425 | 1.295 | 2.082 | 1.628 | 2.396 | 3.303 | 1.367 | 1.956 | 0.121 |
+2024-01-16 12:58:19,809 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 12:58:28,783 Epoch: [157][0/79]	Time 5.785s (5.785s)	Speed 11.1 samples/s	Data 4.471s (4.471s)	Loss 0.00027 (0.00027)	Accuracy 0.956 (0.956)
+2024-01-16 13:00:16,304 Test: [0/13]	Time 5.446 (5.446)	Loss 0.0003 (0.0003)	Accuracy 0.931 (0.931)
+2024-01-16 13:00:28,011 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:00:28,011 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:00:28,011 | pose_hrnet | 1.166 | 1.619 | 2.407 | 1.172 | 1.943 | 3.433 | 1.628 | 1.975 | 0.093 |
+2024-01-16 13:00:28,014 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:00:36,528 Epoch: [158][0/79]	Time 5.661s (5.661s)	Speed 11.3 samples/s	Data 4.342s (4.342s)	Loss 0.00025 (0.00025)	Accuracy 0.963 (0.963)
+2024-01-16 13:02:24,367 Test: [0/13]	Time 5.779 (5.779)	Loss 0.0003 (0.0003)	Accuracy 0.916 (0.916)
+2024-01-16 13:02:35,778 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:02:35,778 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:02:35,778 | pose_hrnet | 1.425 | 1.231 | 1.952 | 1.367 | 2.008 | 2.785 | 1.693 | 1.817 | 0.111 |
+2024-01-16 13:02:35,782 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:02:44,157 Epoch: [159][0/79]	Time 5.542s (5.542s)	Speed 11.5 samples/s	Data 4.233s (4.233s)	Loss 0.00025 (0.00025)	Accuracy 0.966 (0.966)
+2024-01-16 13:04:32,194 Test: [0/13]	Time 5.528 (5.528)	Loss 0.0003 (0.0003)	Accuracy 0.928 (0.928)
+2024-01-16 13:04:43,623 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:04:43,623 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:04:43,623 | pose_hrnet | 1.813 | 1.619 | 2.472 | 1.693 | 2.461 | 2.461 | 1.302 | 1.994 | 0.111 |
+2024-01-16 13:04:43,627 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:04:51,621 Epoch: [160][0/79]	Time 5.388s (5.388s)	Speed 11.9 samples/s	Data 4.060s (4.060s)	Loss 0.00024 (0.00024)	Accuracy 0.975 (0.975)
+2024-01-16 13:06:39,563 Test: [0/13]	Time 5.426 (5.426)	Loss 0.0003 (0.0003)	Accuracy 0.933 (0.933)
+2024-01-16 13:06:51,196 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:06:51,196 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:06:51,196 | pose_hrnet | 1.684 | 1.619 | 2.342 | 1.628 | 2.137 | 2.915 | 1.432 | 2.012 | 0.093 |
+2024-01-16 13:06:51,200 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:06:59,614 Epoch: [161][0/79]	Time 5.351s (5.351s)	Speed 12.0 samples/s	Data 4.048s (4.048s)	Loss 0.00025 (0.00025)	Accuracy 0.962 (0.962)
+2024-01-16 13:08:47,846 Test: [0/13]	Time 5.609 (5.609)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2024-01-16 13:08:59,430 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:08:59,430 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:08:59,430 | pose_hrnet | 2.332 | 2.202 | 2.017 | 1.367 | 1.878 | 2.332 | 1.562 | 1.919 | 0.083 |
+2024-01-16 13:08:59,433 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:09:08,105 Epoch: [162][0/79]	Time 5.823s (5.823s)	Speed 11.0 samples/s	Data 4.490s (4.490s)	Loss 0.00023 (0.00023)	Accuracy 0.969 (0.969)
+2024-01-16 13:10:55,852 Test: [0/13]	Time 5.380 (5.380)	Loss 0.0003 (0.0003)	Accuracy 0.928 (0.928)
+2024-01-16 13:11:07,425 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:11:07,426 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:11:07,426 | pose_hrnet | 1.554 | 1.619 | 2.537 | 1.497 | 2.526 | 2.720 | 1.888 | 2.049 | 0.111 |
+2024-01-16 13:11:07,429 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:11:15,137 Epoch: [163][0/79]	Time 5.211s (5.211s)	Speed 12.3 samples/s	Data 3.910s (3.910s)	Loss 0.00023 (0.00023)	Accuracy 0.969 (0.969)
+2024-01-16 13:13:03,097 Test: [0/13]	Time 5.281 (5.281)	Loss 0.0003 (0.0003)	Accuracy 0.923 (0.923)
+2024-01-16 13:13:14,796 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:13:14,796 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:13:14,796 | pose_hrnet | 1.554 | 1.878 | 2.017 | 1.432 | 1.878 | 2.720 | 1.758 | 1.919 | 0.093 |
+2024-01-16 13:13:14,799 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:13:23,198 Epoch: [164][0/79]	Time 5.438s (5.438s)	Speed 11.8 samples/s	Data 4.107s (4.107s)	Loss 0.00021 (0.00021)	Accuracy 0.975 (0.975)
+2024-01-16 13:15:11,180 Test: [0/13]	Time 5.418 (5.418)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2024-01-16 13:15:22,683 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:15:22,683 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:15:22,683 | pose_hrnet | 2.073 | 1.749 | 1.626 | 1.432 | 2.073 | 2.979 | 1.497 | 1.892 | 0.111 |
+2024-01-16 13:15:22,687 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:15:30,808 Epoch: [165][0/79]	Time 5.289s (5.289s)	Speed 12.1 samples/s	Data 3.987s (3.987s)	Loss 0.00026 (0.00026)	Accuracy 0.957 (0.957)
+2024-01-16 13:17:18,815 Test: [0/13]	Time 5.156 (5.156)	Loss 0.0003 (0.0003)	Accuracy 0.929 (0.929)
+2024-01-16 13:17:30,656 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:17:30,656 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:17:30,656 | pose_hrnet | 1.684 | 1.684 | 1.952 | 1.758 | 1.749 | 2.915 | 1.497 | 1.901 | 0.121 |
+2024-01-16 13:17:30,660 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:17:39,500 Epoch: [166][0/79]	Time 5.977s (5.977s)	Speed 10.7 samples/s	Data 4.654s (4.654s)	Loss 0.00025 (0.00025)	Accuracy 0.970 (0.970)
+2024-01-16 13:19:27,032 Test: [0/13]	Time 5.204 (5.204)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2024-01-16 13:19:38,884 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:19:38,884 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:19:38,884 | pose_hrnet | 1.295 | 1.878 | 1.887 | 1.497 | 2.073 | 3.562 | 1.302 | 1.994 | 0.083 |
+2024-01-16 13:19:38,888 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:19:47,414 Epoch: [167][0/79]	Time 5.744s (5.744s)	Speed 11.1 samples/s	Data 4.401s (4.401s)	Loss 0.00023 (0.00023)	Accuracy 0.968 (0.968)
+2024-01-16 13:21:35,368 Test: [0/13]	Time 5.484 (5.484)	Loss 0.0003 (0.0003)	Accuracy 0.929 (0.929)
+2024-01-16 13:21:46,911 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:21:46,911 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:21:46,911 | pose_hrnet | 1.554 | 1.619 | 1.562 | 1.237 | 1.943 | 2.785 | 1.628 | 1.752 | 0.065 |
+2024-01-16 13:21:46,915 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:21:55,507 Epoch: [168][0/79]	Time 5.610s (5.610s)	Speed 11.4 samples/s	Data 4.307s (4.307s)	Loss 0.00021 (0.00021)	Accuracy 0.974 (0.974)
+2024-01-16 13:23:43,118 Test: [0/13]	Time 4.950 (4.950)	Loss 0.0003 (0.0003)	Accuracy 0.928 (0.928)
+2024-01-16 13:23:54,936 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:23:54,936 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:23:54,936 | pose_hrnet | 1.813 | 2.008 | 1.627 | 1.497 | 1.813 | 2.720 | 1.562 | 1.873 | 0.074 |
+2024-01-16 13:23:54,942 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:24:03,652 Epoch: [169][0/79]	Time 5.962s (5.962s)	Speed 10.7 samples/s	Data 4.660s (4.660s)	Loss 0.00022 (0.00022)	Accuracy 0.976 (0.976)
+2024-01-16 13:25:51,497 Test: [0/13]	Time 5.384 (5.384)	Loss 0.0003 (0.0003)	Accuracy 0.928 (0.928)
+2024-01-16 13:26:03,256 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:26:03,256 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:26:03,256 | pose_hrnet | 1.813 | 2.073 | 1.497 | 1.367 | 1.813 | 3.044 | 1.758 | 1.882 | 0.056 |
+2024-01-16 13:26:03,259 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:26:11,811 Epoch: [170][0/79]	Time 5.487s (5.487s)	Speed 11.7 samples/s	Data 4.182s (4.182s)	Loss 0.00021 (0.00021)	Accuracy 0.988 (0.988)
+2024-01-16 13:27:59,779 Test: [0/13]	Time 5.450 (5.450)	Loss 0.0003 (0.0003)	Accuracy 0.928 (0.928)
+2024-01-16 13:28:11,420 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:28:11,420 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:28:11,421 | pose_hrnet | 1.813 | 1.943 | 1.757 | 1.367 | 2.008 | 2.915 | 1.628 | 1.929 | 0.065 |
+2024-01-16 13:28:11,424 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:28:19,697 Epoch: [171][0/79]	Time 5.621s (5.621s)	Speed 11.4 samples/s	Data 4.310s (4.310s)	Loss 0.00020 (0.00020)	Accuracy 0.984 (0.984)
+2024-01-16 13:30:07,758 Test: [0/13]	Time 5.372 (5.372)	Loss 0.0003 (0.0003)	Accuracy 0.932 (0.932)
+2024-01-16 13:30:19,491 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:30:19,491 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:30:19,491 | pose_hrnet | 1.684 | 2.073 | 1.822 | 1.562 | 2.008 | 2.915 | 1.562 | 1.919 | 0.074 |
+2024-01-16 13:30:19,495 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:30:28,097 Epoch: [172][0/79]	Time 5.457s (5.457s)	Speed 11.7 samples/s	Data 4.153s (4.153s)	Loss 0.00024 (0.00024)	Accuracy 0.969 (0.969)
+2024-01-16 13:32:15,903 Test: [0/13]	Time 5.423 (5.423)	Loss 0.0003 (0.0003)	Accuracy 0.931 (0.931)
+2024-01-16 13:32:27,618 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:32:27,619 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:32:27,619 | pose_hrnet | 1.554 | 2.008 | 1.757 | 1.367 | 2.008 | 3.109 | 1.758 | 1.938 | 0.065 |
+2024-01-16 13:32:27,622 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:32:36,144 Epoch: [173][0/79]	Time 5.408s (5.408s)	Speed 11.8 samples/s	Data 4.070s (4.070s)	Loss 0.00020 (0.00020)	Accuracy 0.960 (0.960)
+2024-01-16 13:34:24,014 Test: [0/13]	Time 5.323 (5.323)	Loss 0.0003 (0.0003)	Accuracy 0.932 (0.932)
+2024-01-16 13:34:35,755 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:34:35,755 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:34:35,755 | pose_hrnet | 1.684 | 1.943 | 1.822 | 1.302 | 2.008 | 3.109 | 1.823 | 1.947 | 0.093 |
+2024-01-16 13:34:35,758 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:34:44,716 Epoch: [174][0/79]	Time 5.762s (5.762s)	Speed 11.1 samples/s	Data 4.424s (4.424s)	Loss 0.00021 (0.00021)	Accuracy 0.977 (0.977)
+2024-01-16 13:36:32,361 Test: [0/13]	Time 5.327 (5.327)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2024-01-16 13:36:44,007 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:36:44,007 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:36:44,007 | pose_hrnet | 1.684 | 1.878 | 2.082 | 1.172 | 2.073 | 3.238 | 1.628 | 1.956 | 0.093 |
+2024-01-16 13:36:44,011 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:36:52,117 Epoch: [175][0/79]	Time 5.320s (5.320s)	Speed 12.0 samples/s	Data 4.002s (4.002s)	Loss 0.00020 (0.00020)	Accuracy 0.973 (0.973)
+2024-01-16 13:38:40,193 Test: [0/13]	Time 5.308 (5.308)	Loss 0.0003 (0.0003)	Accuracy 0.929 (0.929)
+2024-01-16 13:38:51,885 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:38:51,885 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:38:51,886 | pose_hrnet | 1.554 | 2.073 | 2.147 | 1.172 | 2.073 | 2.720 | 1.628 | 1.910 | 0.102 |
+2024-01-16 13:38:51,889 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:39:00,288 Epoch: [176][0/79]	Time 5.461s (5.461s)	Speed 11.7 samples/s	Data 4.156s (4.156s)	Loss 0.00021 (0.00021)	Accuracy 0.983 (0.983)
+2024-01-16 13:40:47,932 Test: [0/13]	Time 5.064 (5.064)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2024-01-16 13:40:59,475 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:40:59,475 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:40:59,475 | pose_hrnet | 1.684 | 1.878 | 2.017 | 1.237 | 2.332 | 3.174 | 1.562 | 1.966 | 0.093 |
+2024-01-16 13:40:59,479 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:41:07,861 Epoch: [177][0/79]	Time 5.671s (5.671s)	Speed 11.3 samples/s	Data 4.369s (4.369s)	Loss 0.00022 (0.00022)	Accuracy 0.977 (0.977)
+2024-01-16 13:42:55,889 Test: [0/13]	Time 5.616 (5.616)	Loss 0.0003 (0.0003)	Accuracy 0.929 (0.929)
+2024-01-16 13:43:07,364 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:43:07,364 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:43:07,364 | pose_hrnet | 1.684 | 1.943 | 2.082 | 1.107 | 2.137 | 3.303 | 1.628 | 1.975 | 0.093 |
+2024-01-16 13:43:07,368 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:43:15,150 Epoch: [178][0/79]	Time 5.394s (5.394s)	Speed 11.9 samples/s	Data 4.077s (4.077s)	Loss 0.00019 (0.00019)	Accuracy 0.983 (0.983)
+2024-01-16 13:45:02,856 Test: [0/13]	Time 5.247 (5.247)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2024-01-16 13:45:14,564 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:45:14,564 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:45:14,564 | pose_hrnet | 1.425 | 1.943 | 2.212 | 1.172 | 2.267 | 3.238 | 1.758 | 2.012 | 0.093 |
+2024-01-16 13:45:14,567 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:45:22,710 Epoch: [179][0/79]	Time 5.396s (5.396s)	Speed 11.9 samples/s	Data 4.076s (4.076s)	Loss 0.00022 (0.00022)	Accuracy 0.976 (0.976)
+2024-01-16 13:47:10,658 Test: [0/13]	Time 5.442 (5.442)	Loss 0.0003 (0.0003)	Accuracy 0.932 (0.932)
+2024-01-16 13:47:22,326 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:47:22,327 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:47:22,327 | pose_hrnet | 1.425 | 1.813 | 2.212 | 0.977 | 2.267 | 2.979 | 1.758 | 1.929 | 0.093 |
+2024-01-16 13:47:22,330 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:47:31,648 Epoch: [180][0/79]	Time 5.224s (5.224s)	Speed 12.3 samples/s	Data 3.896s (3.896s)	Loss 0.00022 (0.00022)	Accuracy 0.970 (0.970)
+2024-01-16 13:49:19,690 Test: [0/13]	Time 5.395 (5.395)	Loss 0.0003 (0.0003)	Accuracy 0.929 (0.929)
+2024-01-16 13:49:31,150 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:49:31,150 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:49:31,151 | pose_hrnet | 1.554 | 1.878 | 2.212 | 1.237 | 2.073 | 3.174 | 1.562 | 1.956 | 0.093 |
+2024-01-16 13:49:31,154 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:49:40,173 Epoch: [181][0/79]	Time 5.688s (5.688s)	Speed 11.3 samples/s	Data 4.351s (4.351s)	Loss 0.00021 (0.00021)	Accuracy 0.972 (0.972)
+2024-01-16 13:51:28,160 Test: [0/13]	Time 5.542 (5.542)	Loss 0.0003 (0.0003)	Accuracy 0.929 (0.929)
+2024-01-16 13:51:39,620 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:51:39,620 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:51:39,620 | pose_hrnet | 1.295 | 1.878 | 2.147 | 1.237 | 2.008 | 3.238 | 1.758 | 1.929 | 0.093 |
+2024-01-16 13:51:39,623 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:51:49,769 Epoch: [182][0/79]	Time 5.659s (5.659s)	Speed 11.3 samples/s	Data 4.341s (4.341s)	Loss 0.00025 (0.00025)	Accuracy 0.963 (0.963)
+2024-01-16 13:53:37,594 Test: [0/13]	Time 5.637 (5.637)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2024-01-16 13:53:49,058 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:53:49,058 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:53:49,058 | pose_hrnet | 1.425 | 1.813 | 2.277 | 1.107 | 1.878 | 3.368 | 1.693 | 1.956 | 0.083 |
+2024-01-16 13:53:49,062 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:53:57,795 Epoch: [183][0/79]	Time 5.927s (5.927s)	Speed 10.8 samples/s	Data 4.619s (4.619s)	Loss 0.00022 (0.00022)	Accuracy 0.973 (0.973)
+2024-01-16 13:55:45,606 Test: [0/13]	Time 5.478 (5.478)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2024-01-16 13:55:57,211 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:55:57,211 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:55:57,211 | pose_hrnet | 1.554 | 1.878 | 2.212 | 1.237 | 1.813 | 3.497 | 1.758 | 2.021 | 0.093 |
+2024-01-16 13:55:57,214 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:56:05,582 Epoch: [184][0/79]	Time 5.771s (5.771s)	Speed 11.1 samples/s	Data 4.450s (4.450s)	Loss 0.00019 (0.00019)	Accuracy 0.980 (0.980)
+2024-01-16 13:57:53,339 Test: [0/13]	Time 5.502 (5.502)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2024-01-16 13:58:04,736 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 13:58:04,737 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 13:58:04,737 | pose_hrnet | 1.554 | 1.878 | 2.407 | 1.172 | 1.943 | 3.368 | 1.693 | 2.003 | 0.121 |
+2024-01-16 13:58:04,740 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 13:58:13,461 Epoch: [185][0/79]	Time 5.815s (5.815s)	Speed 11.0 samples/s	Data 4.513s (4.513s)	Loss 0.00023 (0.00023)	Accuracy 0.960 (0.960)
+2024-01-16 14:00:00,751 Test: [0/13]	Time 5.090 (5.090)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2024-01-16 14:00:12,474 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:00:12,474 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:00:12,474 | pose_hrnet | 1.425 | 1.813 | 2.277 | 1.302 | 1.749 | 3.238 | 1.758 | 1.947 | 0.093 |
+2024-01-16 14:00:12,478 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:00:21,331 Epoch: [186][0/79]	Time 5.935s (5.935s)	Speed 10.8 samples/s	Data 4.609s (4.609s)	Loss 0.00020 (0.00020)	Accuracy 0.978 (0.978)
+2024-01-16 14:02:09,381 Test: [0/13]	Time 5.649 (5.649)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2024-01-16 14:02:21,004 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:02:21,004 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:02:21,004 | pose_hrnet | 1.554 | 1.943 | 2.407 | 1.497 | 2.073 | 3.238 | 1.628 | 2.068 | 0.083 |
+2024-01-16 14:02:21,007 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:02:29,285 Epoch: [187][0/79]	Time 5.565s (5.565s)	Speed 11.5 samples/s	Data 4.234s (4.234s)	Loss 0.00023 (0.00023)	Accuracy 0.969 (0.969)
+2024-01-16 14:04:17,240 Test: [0/13]	Time 5.394 (5.394)	Loss 0.0003 (0.0003)	Accuracy 0.928 (0.928)
+2024-01-16 14:04:29,098 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:04:29,099 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:04:29,099 | pose_hrnet | 1.554 | 1.684 | 2.407 | 1.432 | 1.943 | 3.238 | 1.497 | 1.975 | 0.102 |
+2024-01-16 14:04:29,102 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:04:37,548 Epoch: [188][0/79]	Time 5.554s (5.554s)	Speed 11.5 samples/s	Data 4.246s (4.246s)	Loss 0.00022 (0.00022)	Accuracy 0.954 (0.954)
+2024-01-16 14:06:25,351 Test: [0/13]	Time 5.327 (5.327)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2024-01-16 14:06:36,774 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:06:36,774 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:06:36,774 | pose_hrnet | 1.554 | 2.008 | 2.472 | 1.367 | 2.073 | 3.044 | 1.628 | 2.031 | 0.121 |
+2024-01-16 14:06:36,778 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:06:45,333 Epoch: [189][0/79]	Time 5.699s (5.699s)	Speed 11.2 samples/s	Data 4.379s (4.379s)	Loss 0.00022 (0.00022)	Accuracy 0.977 (0.977)
+2024-01-16 14:08:32,698 Test: [0/13]	Time 5.035 (5.035)	Loss 0.0003 (0.0003)	Accuracy 0.932 (0.932)
+2024-01-16 14:08:44,494 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:08:44,494 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:08:44,494 | pose_hrnet | 1.425 | 2.073 | 2.407 | 1.562 | 1.878 | 3.109 | 1.758 | 2.040 | 0.111 |
+2024-01-16 14:08:44,498 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:08:53,074 Epoch: [190][0/79]	Time 5.692s (5.692s)	Speed 11.2 samples/s	Data 4.383s (4.383s)	Loss 0.00019 (0.00019)	Accuracy 0.985 (0.985)
+2024-01-16 14:10:40,872 Test: [0/13]	Time 5.497 (5.497)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2024-01-16 14:10:52,420 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:10:52,420 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:10:52,421 | pose_hrnet | 1.425 | 2.073 | 2.537 | 1.497 | 1.813 | 3.238 | 1.758 | 2.068 | 0.083 |
+2024-01-16 14:10:52,424 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:11:01,150 Epoch: [191][0/79]	Time 5.690s (5.690s)	Speed 11.2 samples/s	Data 4.380s (4.380s)	Loss 0.00020 (0.00020)	Accuracy 0.973 (0.973)
+2024-01-16 14:12:48,870 Test: [0/13]	Time 5.333 (5.333)	Loss 0.0003 (0.0003)	Accuracy 0.931 (0.931)
+2024-01-16 14:13:00,374 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:13:00,374 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:13:00,374 | pose_hrnet | 1.295 | 1.813 | 2.342 | 1.367 | 2.008 | 3.303 | 1.758 | 2.021 | 0.102 |
+2024-01-16 14:13:00,378 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:13:08,565 Epoch: [192][0/79]	Time 5.624s (5.624s)	Speed 11.4 samples/s	Data 4.318s (4.318s)	Loss 0.00018 (0.00018)	Accuracy 0.981 (0.981)
+2024-01-16 14:14:56,342 Test: [0/13]	Time 5.357 (5.357)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2024-01-16 14:15:07,853 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:15:07,853 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:15:07,853 | pose_hrnet | 1.554 | 1.943 | 2.082 | 1.237 | 2.137 | 3.368 | 1.693 | 2.012 | 0.093 |
+2024-01-16 14:15:07,857 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:15:16,717 Epoch: [193][0/79]	Time 5.720s (5.720s)	Speed 11.2 samples/s	Data 4.410s (4.410s)	Loss 0.00020 (0.00020)	Accuracy 0.973 (0.973)
+2024-01-16 14:17:04,543 Test: [0/13]	Time 5.518 (5.518)	Loss 0.0003 (0.0003)	Accuracy 0.931 (0.931)
+2024-01-16 14:17:16,058 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:17:16,058 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:17:16,058 | pose_hrnet | 1.554 | 1.813 | 2.407 | 1.497 | 1.878 | 2.915 | 1.693 | 1.956 | 0.093 |
+2024-01-16 14:17:16,062 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:17:24,821 Epoch: [194][0/79]	Time 6.210s (6.210s)	Speed 10.3 samples/s	Data 4.910s (4.910s)	Loss 0.00023 (0.00023)	Accuracy 0.962 (0.962)
+2024-01-16 14:19:12,290 Test: [0/13]	Time 5.539 (5.539)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2024-01-16 14:19:23,740 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:19:23,740 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:19:23,740 | pose_hrnet | 1.425 | 1.813 | 2.472 | 1.432 | 1.878 | 2.915 | 1.628 | 1.956 | 0.102 |
+2024-01-16 14:19:23,744 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:19:32,137 Epoch: [195][0/79]	Time 5.518s (5.518s)	Speed 11.6 samples/s	Data 4.208s (4.208s)	Loss 0.00020 (0.00020)	Accuracy 0.970 (0.970)
+2024-01-16 14:21:19,689 Test: [0/13]	Time 5.162 (5.162)	Loss 0.0003 (0.0003)	Accuracy 0.923 (0.923)
+2024-01-16 14:21:31,239 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:21:31,239 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:21:31,239 | pose_hrnet | 1.554 | 1.813 | 2.082 | 1.432 | 1.943 | 3.109 | 1.628 | 1.947 | 0.083 |
+2024-01-16 14:21:31,242 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:21:39,757 Epoch: [196][0/79]	Time 5.724s (5.724s)	Speed 11.2 samples/s	Data 4.403s (4.403s)	Loss 0.00020 (0.00020)	Accuracy 0.983 (0.983)
+2024-01-16 14:23:27,532 Test: [0/13]	Time 5.484 (5.484)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2024-01-16 14:23:39,252 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:23:39,252 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:23:39,253 | pose_hrnet | 1.295 | 1.749 | 2.537 | 1.302 | 2.137 | 3.303 | 1.693 | 2.040 | 0.121 |
+2024-01-16 14:23:39,256 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:23:47,017 Epoch: [197][0/79]	Time 5.298s (5.298s)	Speed 12.1 samples/s	Data 3.992s (3.992s)	Loss 0.00019 (0.00019)	Accuracy 0.974 (0.974)
+2024-01-16 14:25:35,214 Test: [0/13]	Time 5.489 (5.489)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2024-01-16 14:25:46,925 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:25:46,925 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:25:46,925 | pose_hrnet | 1.554 | 1.684 | 2.667 | 1.432 | 2.202 | 3.238 | 1.693 | 2.086 | 0.121 |
+2024-01-16 14:25:46,928 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:25:55,293 Epoch: [198][0/79]	Time 5.721s (5.721s)	Speed 11.2 samples/s	Data 4.388s (4.388s)	Loss 0.00019 (0.00019)	Accuracy 0.974 (0.974)
+2024-01-16 14:27:42,858 Test: [0/13]	Time 5.196 (5.196)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2024-01-16 14:27:54,947 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:27:54,947 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:27:54,947 | pose_hrnet | 1.554 | 1.684 | 2.472 | 1.497 | 2.202 | 3.368 | 1.693 | 2.086 | 0.102 |
+2024-01-16 14:27:54,950 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:28:03,126 Epoch: [199][0/79]	Time 5.583s (5.583s)	Speed 11.5 samples/s	Data 4.269s (4.269s)	Loss 0.00020 (0.00020)	Accuracy 0.986 (0.986)
+2024-01-16 14:29:51,196 Test: [0/13]	Time 5.380 (5.380)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2024-01-16 14:30:02,933 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:30:02,933 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:30:02,933 | pose_hrnet | 1.425 | 1.813 | 2.602 | 1.562 | 1.878 | 3.303 | 1.758 | 2.077 | 0.102 |
+2024-01-16 14:30:02,936 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:30:11,688 Epoch: [200][0/79]	Time 5.682s (5.682s)	Speed 11.3 samples/s	Data 4.365s (4.365s)	Loss 0.00019 (0.00019)	Accuracy 0.984 (0.984)
+2024-01-16 14:31:59,432 Test: [0/13]	Time 5.406 (5.406)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2024-01-16 14:32:11,454 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:32:11,454 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:32:11,454 | pose_hrnet | 1.295 | 1.749 | 2.537 | 1.302 | 2.332 | 3.109 | 1.758 | 2.040 | 0.111 |
+2024-01-16 14:32:11,457 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:32:19,512 Epoch: [201][0/79]	Time 5.322s (5.322s)	Speed 12.0 samples/s	Data 4.017s (4.017s)	Loss 0.00018 (0.00018)	Accuracy 0.981 (0.981)
+2024-01-16 14:34:07,940 Test: [0/13]	Time 5.699 (5.699)	Loss 0.0003 (0.0003)	Accuracy 0.926 (0.926)
+2024-01-16 14:34:19,781 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:34:19,781 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:34:19,781 | pose_hrnet | 1.295 | 1.878 | 2.277 | 1.432 | 2.137 | 3.303 | 1.823 | 2.049 | 0.102 |
+2024-01-16 14:34:19,785 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:34:28,179 Epoch: [202][0/79]	Time 5.595s (5.595s)	Speed 11.4 samples/s	Data 4.269s (4.269s)	Loss 0.00022 (0.00022)	Accuracy 0.976 (0.976)
+2024-01-16 14:36:15,635 Test: [0/13]	Time 5.036 (5.036)	Loss 0.0003 (0.0003)	Accuracy 0.928 (0.928)
+2024-01-16 14:36:27,504 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:36:27,504 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:36:27,504 | pose_hrnet | 1.295 | 1.813 | 2.538 | 1.497 | 2.008 | 3.238 | 1.823 | 2.058 | 0.121 |
+2024-01-16 14:36:27,508 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:36:35,880 Epoch: [203][0/79]	Time 5.517s (5.517s)	Speed 11.6 samples/s	Data 4.181s (4.181s)	Loss 0.00020 (0.00020)	Accuracy 0.980 (0.980)
+2024-01-16 14:38:24,238 Test: [0/13]	Time 5.676 (5.676)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2024-01-16 14:38:35,690 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:38:35,690 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:38:35,690 | pose_hrnet | 1.554 | 1.684 | 2.212 | 1.497 | 2.073 | 3.044 | 1.628 | 1.956 | 0.093 |
+2024-01-16 14:38:35,694 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:38:45,077 Epoch: [204][0/79]	Time 5.780s (5.780s)	Speed 11.1 samples/s	Data 4.465s (4.465s)	Loss 0.00020 (0.00020)	Accuracy 0.973 (0.973)
+2024-01-16 14:40:32,592 Test: [0/13]	Time 5.287 (5.287)	Loss 0.0003 (0.0003)	Accuracy 0.925 (0.925)
+2024-01-16 14:40:44,521 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:40:44,521 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:40:44,521 | pose_hrnet | 1.295 | 1.749 | 2.407 | 1.432 | 1.878 | 2.979 | 1.758 | 1.956 | 0.111 |
+2024-01-16 14:40:44,524 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:40:53,216 Epoch: [205][0/79]	Time 5.917s (5.917s)	Speed 10.8 samples/s	Data 4.585s (4.585s)	Loss 0.00023 (0.00023)	Accuracy 0.973 (0.973)
+2024-01-16 14:42:40,959 Test: [0/13]	Time 5.408 (5.408)	Loss 0.0003 (0.0003)	Accuracy 0.927 (0.927)
+2024-01-16 14:42:52,823 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:42:52,823 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:42:52,823 | pose_hrnet | 1.425 | 1.749 | 2.342 | 1.497 | 2.073 | 2.979 | 1.628 | 1.984 | 0.102 |
+2024-01-16 14:42:52,826 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:43:01,302 Epoch: [206][0/79]	Time 5.542s (5.542s)	Speed 11.5 samples/s	Data 4.223s (4.223s)	Loss 0.00023 (0.00023)	Accuracy 0.966 (0.966)
+2024-01-16 14:44:49,446 Test: [0/13]	Time 5.583 (5.583)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2024-01-16 14:45:00,850 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:45:00,850 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:45:00,850 | pose_hrnet | 1.295 | 1.554 | 2.147 | 1.432 | 2.137 | 3.109 | 1.693 | 1.938 | 0.102 |
+2024-01-16 14:45:00,854 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:45:09,120 Epoch: [207][0/79]	Time 5.693s (5.693s)	Speed 11.2 samples/s	Data 4.368s (4.368s)	Loss 0.00018 (0.00018)	Accuracy 0.988 (0.988)
+2024-01-16 14:46:57,051 Test: [0/13]	Time 5.572 (5.572)	Loss 0.0003 (0.0003)	Accuracy 0.924 (0.924)
+2024-01-16 14:47:08,968 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:47:08,968 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:47:08,969 | pose_hrnet | 1.554 | 1.619 | 2.472 | 1.367 | 2.073 | 2.915 | 1.628 | 1.956 | 0.083 |
+2024-01-16 14:47:08,972 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:47:16,858 Epoch: [208][0/79]	Time 5.314s (5.314s)	Speed 12.0 samples/s	Data 3.980s (3.980s)	Loss 0.00019 (0.00019)	Accuracy 0.979 (0.979)
+2024-01-16 14:49:04,994 Test: [0/13]	Time 5.425 (5.425)	Loss 0.0003 (0.0003)	Accuracy 0.923 (0.923)
+2024-01-16 14:49:16,776 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:49:16,776 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:49:16,776 | pose_hrnet | 1.425 | 1.878 | 2.472 | 1.432 | 2.008 | 3.044 | 1.758 | 2.040 | 0.111 |
+2024-01-16 14:49:16,779 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:49:24,802 Epoch: [209][0/79]	Time 5.238s (5.238s)	Speed 12.2 samples/s	Data 3.900s (3.900s)	Loss 0.00024 (0.00024)	Accuracy 0.956 (0.956)
+2024-01-16 14:51:12,873 Test: [0/13]	Time 5.296 (5.296)	Loss 0.0003 (0.0003)	Accuracy 0.921 (0.921)
+2024-01-16 14:51:24,346 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-16 14:51:24,346 |---|---|---|---|---|---|---|---|---|---|
+2024-01-16 14:51:24,346 | pose_hrnet | 1.295 | 1.684 | 2.472 | 1.367 | 2.008 | 3.303 | 1.628 | 2.003 | 0.093 |
+2024-01-16 14:51:24,349 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-16 14:51:27,296 => saving final model state to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/final_state.pth
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-17-08-18_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-17-08-18_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..af57e481bc7ad27c208e6b127b3f48a1ac7f4a4b
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-17-08-18_train.log
@@ -0,0 +1,112 @@
+2024-01-17 08:18:40,041 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2024-01-17 08:18:40,041 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train_all
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 64
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2024-01-17 08:18:40,502 => init weights from normal distribution
+2024-01-17 08:18:50,112 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2024-01-17 08:19:08,191 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-17-08-25_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-17-08-25_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..755a2edc31ea8e201b513e55595581fa507e0fef
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-17-08-25_train.log
@@ -0,0 +1,115 @@
+2024-01-17 08:25:44,581 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2024-01-17 08:25:44,581 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train_all
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 64
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2024-01-17 08:25:44,892 => init weights from normal distribution
+2024-01-17 08:25:48,786 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2024-01-17 08:25:56,818 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2024-01-17 08:25:57,773 => load 5066 samples
+2024-01-17 08:25:57,856 => load 772 samples
+2024-01-17 08:26:24,140 Epoch: [0][0/80]	Time 26.221s (26.221s)	Speed 2.4 samples/s	Data 4.874s (4.874s)	Loss 0.00144 (0.00144)	Accuracy 0.058 (0.058)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-17-08-30_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-17-08-30_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..8c262c6b4990298de2cbf329c0dc14f6e9fceec3
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-17-08-30_train.log
@@ -0,0 +1,547 @@
+2024-01-17 08:30:37,449 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2024-01-17 08:30:37,449 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train_all
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 64
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2024-01-17 08:30:37,761 => init weights from normal distribution
+2024-01-17 08:30:40,638 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2024-01-17 08:30:48,705 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2024-01-17 08:30:49,608 => load 5066 samples
+2024-01-17 08:30:49,668 => load 772 samples
+2024-01-17 08:31:02,658 Epoch: [0][0/80]	Time 12.935s (12.935s)	Speed 4.9 samples/s	Data 4.759s (4.759s)	Loss 0.00142 (0.00142)	Accuracy 0.091 (0.091)
+2024-01-17 08:32:47,731 Test: [0/13]	Time 5.692 (5.692)	Loss 0.0008 (0.0008)	Accuracy 0.645 (0.645)
+2024-01-17 08:32:59,125 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 08:32:59,125 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 08:32:59,125 | pose_hrnet | 1.036 | 0.259 | 0.650 | 0.260 | 0.907 | 0.648 | 0.716 | 0.621 | 0.028 |
+2024-01-17 08:32:59,959 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 08:33:09,243 Epoch: [1][0/80]	Time 5.331s (5.331s)	Speed 12.0 samples/s	Data 4.024s (4.024s)	Loss 0.00075 (0.00075)	Accuracy 0.672 (0.672)
+2024-01-17 08:34:57,525 Test: [0/13]	Time 5.649 (5.649)	Loss 0.0006 (0.0006)	Accuracy 0.733 (0.733)
+2024-01-17 08:35:09,100 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 08:35:09,100 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 08:35:09,100 | pose_hrnet | 1.036 | 0.583 | 0.520 | 0.456 | 0.777 | 0.777 | 0.586 | 0.658 | 0.028 |
+2024-01-17 08:35:09,104 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 08:35:18,223 Epoch: [2][0/80]	Time 5.350s (5.350s)	Speed 12.0 samples/s	Data 4.005s (4.005s)	Loss 0.00061 (0.00061)	Accuracy 0.775 (0.775)
+2024-01-17 08:37:07,779 Test: [0/13]	Time 5.595 (5.595)	Loss 0.0005 (0.0005)	Accuracy 0.788 (0.788)
+2024-01-17 08:37:19,168 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 08:37:19,168 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 08:37:19,168 | pose_hrnet | 0.777 | 0.518 | 0.911 | 0.326 | 1.101 | 1.101 | 0.651 | 0.751 | 0.046 |
+2024-01-17 08:37:19,171 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 08:37:28,801 Epoch: [3][0/80]	Time 5.890s (5.890s)	Speed 10.9 samples/s	Data 4.556s (4.556s)	Loss 0.00066 (0.00066)	Accuracy 0.749 (0.749)
+2024-01-17 08:39:17,547 Test: [0/13]	Time 5.114 (5.114)	Loss 0.0005 (0.0005)	Accuracy 0.784 (0.784)
+2024-01-17 08:39:29,669 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 08:39:29,670 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 08:39:29,670 | pose_hrnet | 0.777 | 0.583 | 0.781 | 0.456 | 0.842 | 1.360 | 0.977 | 0.834 | 0.056 |
+2024-01-17 08:39:29,673 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 08:39:38,725 Epoch: [4][0/80]	Time 5.414s (5.414s)	Speed 11.8 samples/s	Data 4.085s (4.085s)	Loss 0.00056 (0.00056)	Accuracy 0.802 (0.802)
+2024-01-17 08:41:28,228 Test: [0/13]	Time 5.421 (5.421)	Loss 0.0005 (0.0005)	Accuracy 0.807 (0.807)
+2024-01-17 08:41:39,656 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 08:41:39,656 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 08:41:39,656 | pose_hrnet | 0.648 | 0.648 | 0.976 | 0.586 | 0.712 | 1.101 | 0.781 | 0.788 | 0.065 |
+2024-01-17 08:41:39,659 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 08:41:47,818 Epoch: [5][0/80]	Time 5.261s (5.261s)	Speed 12.2 samples/s	Data 3.924s (3.924s)	Loss 0.00050 (0.00050)	Accuracy 0.825 (0.825)
+2024-01-17 08:43:37,092 Test: [0/13]	Time 5.389 (5.389)	Loss 0.0005 (0.0005)	Accuracy 0.840 (0.840)
+2024-01-17 08:43:48,663 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 08:43:48,663 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 08:43:48,663 | pose_hrnet | 0.777 | 0.648 | 0.781 | 0.651 | 1.101 | 0.648 | 1.172 | 0.825 | 0.074 |
+2024-01-17 08:43:48,666 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 08:43:57,185 Epoch: [6][0/80]	Time 5.615s (5.615s)	Speed 11.4 samples/s	Data 4.288s (4.288s)	Loss 0.00052 (0.00052)	Accuracy 0.809 (0.809)
+2024-01-17 08:45:46,431 Test: [0/13]	Time 5.368 (5.368)	Loss 0.0004 (0.0004)	Accuracy 0.865 (0.865)
+2024-01-17 08:45:57,873 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 08:45:57,874 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 08:45:57,874 | pose_hrnet | 0.777 | 0.648 | 0.911 | 0.456 | 1.036 | 0.907 | 1.237 | 0.862 | 0.074 |
+2024-01-17 08:45:57,877 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 08:46:07,321 Epoch: [7][0/80]	Time 5.672s (5.672s)	Speed 11.3 samples/s	Data 4.362s (4.362s)	Loss 0.00051 (0.00051)	Accuracy 0.836 (0.836)
+2024-01-17 08:47:56,318 Test: [0/13]	Time 5.511 (5.511)	Loss 0.0005 (0.0005)	Accuracy 0.841 (0.841)
+2024-01-17 08:48:07,727 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 08:48:07,727 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 08:48:07,727 | pose_hrnet | 0.648 | 0.389 | 1.041 | 0.586 | 0.777 | 0.907 | 1.302 | 0.825 | 0.037 |
+2024-01-17 08:48:07,730 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 08:48:16,036 Epoch: [8][0/80]	Time 5.689s (5.689s)	Speed 11.2 samples/s	Data 4.378s (4.378s)	Loss 0.00056 (0.00056)	Accuracy 0.786 (0.786)
+2024-01-17 08:50:05,072 Test: [0/13]	Time 5.329 (5.329)	Loss 0.0005 (0.0005)	Accuracy 0.847 (0.847)
+2024-01-17 08:50:16,560 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 08:50:16,560 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 08:50:16,560 | pose_hrnet | 0.777 | 0.453 | 1.236 | 0.586 | 0.777 | 0.842 | 0.846 | 0.807 | 0.065 |
+2024-01-17 08:50:16,563 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 08:50:25,227 Epoch: [9][0/80]	Time 5.606s (5.606s)	Speed 11.4 samples/s	Data 4.289s (4.289s)	Loss 0.00045 (0.00045)	Accuracy 0.864 (0.864)
+2024-01-17 08:52:14,614 Test: [0/13]	Time 5.638 (5.638)	Loss 0.0004 (0.0004)	Accuracy 0.852 (0.852)
+2024-01-17 08:52:26,019 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 08:52:26,019 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 08:52:26,019 | pose_hrnet | 0.648 | 0.648 | 0.976 | 0.521 | 1.036 | 0.972 | 1.107 | 0.899 | 0.056 |
+2024-01-17 08:52:26,022 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 08:52:35,162 Epoch: [10][0/80]	Time 5.498s (5.498s)	Speed 11.6 samples/s	Data 4.177s (4.177s)	Loss 0.00044 (0.00044)	Accuracy 0.883 (0.883)
+2024-01-17 08:54:24,310 Test: [0/13]	Time 5.308 (5.308)	Loss 0.0004 (0.0004)	Accuracy 0.854 (0.854)
+2024-01-17 08:54:35,902 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 08:54:35,902 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 08:54:35,902 | pose_hrnet | 0.389 | 0.453 | 1.236 | 0.651 | 0.648 | 1.295 | 0.977 | 0.872 | 0.037 |
+2024-01-17 08:54:35,905 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 08:54:44,749 Epoch: [11][0/80]	Time 6.037s (6.037s)	Speed 10.6 samples/s	Data 4.701s (4.701s)	Loss 0.00044 (0.00044)	Accuracy 0.899 (0.899)
+2024-01-17 08:56:33,532 Test: [0/13]	Time 5.549 (5.549)	Loss 0.0005 (0.0005)	Accuracy 0.833 (0.833)
+2024-01-17 08:56:44,999 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 08:56:44,999 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 08:56:44,999 | pose_hrnet | 0.259 | 0.583 | 0.911 | 0.586 | 0.518 | 1.166 | 1.107 | 0.788 | 0.056 |
+2024-01-17 08:56:45,002 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 08:56:53,772 Epoch: [12][0/80]	Time 5.840s (5.840s)	Speed 11.0 samples/s	Data 4.517s (4.517s)	Loss 0.00049 (0.00049)	Accuracy 0.845 (0.845)
+2024-01-17 08:58:42,990 Test: [0/13]	Time 5.574 (5.574)	Loss 0.0004 (0.0004)	Accuracy 0.858 (0.858)
+2024-01-17 08:58:54,307 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 08:58:54,307 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 08:58:54,307 | pose_hrnet | 0.648 | 0.453 | 1.106 | 0.586 | 1.036 | 1.101 | 0.911 | 0.881 | 0.037 |
+2024-01-17 08:58:54,311 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 08:59:03,065 Epoch: [13][0/80]	Time 6.003s (6.003s)	Speed 10.7 samples/s	Data 4.694s (4.694s)	Loss 0.00044 (0.00044)	Accuracy 0.893 (0.893)
+2024-01-17 09:00:52,019 Test: [0/13]	Time 5.859 (5.859)	Loss 0.0004 (0.0004)	Accuracy 0.857 (0.857)
+2024-01-17 09:01:03,024 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:01:03,024 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:01:03,024 | pose_hrnet | 0.777 | 0.583 | 0.911 | 0.326 | 0.777 | 1.554 | 1.042 | 0.872 | 0.028 |
+2024-01-17 09:01:03,028 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:01:11,707 Epoch: [14][0/80]	Time 5.480s (5.480s)	Speed 11.7 samples/s	Data 4.163s (4.163s)	Loss 0.00044 (0.00044)	Accuracy 0.877 (0.877)
+2024-01-17 09:03:00,535 Test: [0/13]	Time 5.192 (5.192)	Loss 0.0004 (0.0004)	Accuracy 0.859 (0.859)
+2024-01-17 09:03:11,947 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:03:11,948 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:03:11,948 | pose_hrnet | 1.166 | 0.648 | 1.041 | 0.521 | 0.907 | 1.360 | 1.107 | 0.964 | 0.037 |
+2024-01-17 09:03:11,951 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:03:21,191 Epoch: [15][0/80]	Time 5.750s (5.750s)	Speed 11.1 samples/s	Data 4.428s (4.428s)	Loss 0.00049 (0.00049)	Accuracy 0.862 (0.862)
+2024-01-17 09:05:10,063 Test: [0/13]	Time 5.243 (5.243)	Loss 0.0004 (0.0004)	Accuracy 0.868 (0.868)
+2024-01-17 09:05:21,575 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:05:21,575 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:05:21,575 | pose_hrnet | 1.166 | 0.324 | 1.171 | 0.716 | 0.583 | 1.166 | 0.911 | 0.825 | 0.037 |
+2024-01-17 09:05:21,579 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:05:29,690 Epoch: [16][0/80]	Time 5.348s (5.348s)	Speed 12.0 samples/s	Data 4.017s (4.017s)	Loss 0.00041 (0.00041)	Accuracy 0.903 (0.903)
+2024-01-17 09:07:18,988 Test: [0/13]	Time 5.435 (5.435)	Loss 0.0004 (0.0004)	Accuracy 0.874 (0.874)
+2024-01-17 09:07:30,722 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:07:30,722 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:07:30,722 | pose_hrnet | 1.166 | 0.453 | 1.171 | 0.586 | 1.101 | 1.036 | 0.781 | 0.890 | 0.037 |
+2024-01-17 09:07:30,725 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:07:39,447 Epoch: [17][0/80]	Time 5.693s (5.693s)	Speed 11.2 samples/s	Data 4.381s (4.381s)	Loss 0.00043 (0.00043)	Accuracy 0.899 (0.899)
+2024-01-17 09:09:28,574 Test: [0/13]	Time 5.498 (5.498)	Loss 0.0004 (0.0004)	Accuracy 0.876 (0.876)
+2024-01-17 09:09:40,063 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:09:40,063 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:09:40,063 | pose_hrnet | 0.907 | 0.842 | 1.106 | 0.521 | 1.295 | 0.972 | 1.042 | 0.983 | 0.019 |
+2024-01-17 09:09:40,066 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:09:49,807 Epoch: [18][0/80]	Time 5.597s (5.597s)	Speed 11.4 samples/s	Data 4.281s (4.281s)	Loss 0.00043 (0.00043)	Accuracy 0.878 (0.878)
+2024-01-17 09:11:38,647 Test: [0/13]	Time 5.264 (5.264)	Loss 0.0004 (0.0004)	Accuracy 0.872 (0.872)
+2024-01-17 09:11:50,371 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:11:50,371 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:11:50,371 | pose_hrnet | 1.036 | 0.389 | 1.041 | 0.716 | 0.972 | 1.036 | 0.846 | 0.890 | 0.000 |
+2024-01-17 09:11:50,374 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:11:58,415 Epoch: [19][0/80]	Time 5.556s (5.556s)	Speed 11.5 samples/s	Data 4.230s (4.230s)	Loss 0.00040 (0.00040)	Accuracy 0.918 (0.918)
+2024-01-17 09:13:47,380 Test: [0/13]	Time 5.343 (5.343)	Loss 0.0004 (0.0004)	Accuracy 0.861 (0.861)
+2024-01-17 09:13:59,011 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:13:59,011 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:13:59,011 | pose_hrnet | 0.518 | 0.648 | 1.236 | 0.456 | 0.907 | 1.036 | 1.237 | 0.899 | 0.065 |
+2024-01-17 09:13:59,014 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:14:07,367 Epoch: [20][0/80]	Time 5.666s (5.666s)	Speed 11.3 samples/s	Data 4.348s (4.348s)	Loss 0.00041 (0.00041)	Accuracy 0.908 (0.908)
+2024-01-17 09:15:56,823 Test: [0/13]	Time 5.889 (5.889)	Loss 0.0004 (0.0004)	Accuracy 0.873 (0.873)
+2024-01-17 09:16:07,774 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:16:07,774 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:16:07,774 | pose_hrnet | 1.036 | 0.583 | 0.716 | 0.456 | 0.842 | 0.972 | 1.302 | 0.844 | 0.028 |
+2024-01-17 09:16:07,777 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:16:16,513 Epoch: [21][0/80]	Time 5.692s (5.692s)	Speed 11.2 samples/s	Data 4.385s (4.385s)	Loss 0.00041 (0.00041)	Accuracy 0.916 (0.916)
+2024-01-17 09:18:05,601 Test: [0/13]	Time 5.484 (5.484)	Loss 0.0004 (0.0004)	Accuracy 0.874 (0.874)
+2024-01-17 09:18:16,823 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:18:16,823 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:18:16,824 | pose_hrnet | 0.777 | 0.518 | 0.976 | 0.456 | 0.648 | 1.036 | 1.042 | 0.788 | 0.028 |
+2024-01-17 09:18:16,827 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:18:25,205 Epoch: [22][0/80]	Time 5.628s (5.628s)	Speed 11.4 samples/s	Data 4.314s (4.314s)	Loss 0.00044 (0.00044)	Accuracy 0.856 (0.856)
+2024-01-17 09:20:14,375 Test: [0/13]	Time 5.533 (5.533)	Loss 0.0004 (0.0004)	Accuracy 0.876 (0.876)
+2024-01-17 09:20:25,845 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:20:25,845 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:20:25,845 | pose_hrnet | 0.777 | 0.518 | 0.976 | 0.521 | 0.842 | 1.295 | 1.237 | 0.881 | 0.009 |
+2024-01-17 09:20:25,848 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:20:34,222 Epoch: [23][0/80]	Time 5.521s (5.521s)	Speed 11.6 samples/s	Data 4.185s (4.185s)	Loss 0.00040 (0.00040)	Accuracy 0.894 (0.894)
+2024-01-17 09:22:23,524 Test: [0/13]	Time 5.715 (5.715)	Loss 0.0004 (0.0004)	Accuracy 0.879 (0.879)
+2024-01-17 09:22:34,891 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:22:34,891 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:22:34,891 | pose_hrnet | 0.777 | 0.648 | 1.171 | 0.521 | 0.907 | 1.684 | 1.042 | 0.955 | 0.028 |
+2024-01-17 09:22:34,894 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:22:44,275 Epoch: [24][0/80]	Time 5.772s (5.772s)	Speed 11.1 samples/s	Data 4.458s (4.458s)	Loss 0.00039 (0.00039)	Accuracy 0.901 (0.901)
+2024-01-17 09:24:33,435 Test: [0/13]	Time 5.694 (5.694)	Loss 0.0004 (0.0004)	Accuracy 0.890 (0.890)
+2024-01-17 09:24:44,410 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:24:44,410 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:24:44,410 | pose_hrnet | 1.166 | 0.518 | 1.301 | 0.586 | 0.842 | 0.842 | 0.846 | 0.853 | 0.009 |
+2024-01-17 09:24:44,413 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:24:53,453 Epoch: [25][0/80]	Time 5.620s (5.620s)	Speed 11.4 samples/s	Data 4.287s (4.287s)	Loss 0.00043 (0.00043)	Accuracy 0.901 (0.901)
+2024-01-17 09:26:42,936 Test: [0/13]	Time 5.674 (5.674)	Loss 0.0004 (0.0004)	Accuracy 0.874 (0.874)
+2024-01-17 09:26:54,005 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:26:54,005 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:26:54,005 | pose_hrnet | 0.777 | 0.583 | 0.976 | 0.456 | 0.972 | 1.036 | 0.651 | 0.788 | 0.046 |
+2024-01-17 09:26:54,008 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:27:02,488 Epoch: [26][0/80]	Time 5.704s (5.704s)	Speed 11.2 samples/s	Data 4.393s (4.393s)	Loss 0.00040 (0.00040)	Accuracy 0.894 (0.894)
+2024-01-17 09:28:51,620 Test: [0/13]	Time 5.373 (5.373)	Loss 0.0004 (0.0004)	Accuracy 0.879 (0.879)
+2024-01-17 09:29:03,067 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:29:03,068 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:29:03,068 | pose_hrnet | 0.518 | 0.712 | 1.431 | 0.586 | 0.712 | 1.231 | 0.651 | 0.844 | 0.019 |
+2024-01-17 09:29:03,071 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:29:11,322 Epoch: [27][0/80]	Time 5.545s (5.545s)	Speed 11.5 samples/s	Data 4.222s (4.222s)	Loss 0.00039 (0.00039)	Accuracy 0.903 (0.903)
+2024-01-17 09:31:00,378 Test: [0/13]	Time 5.404 (5.404)	Loss 0.0004 (0.0004)	Accuracy 0.883 (0.883)
+2024-01-17 09:31:11,554 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:31:11,554 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:31:11,554 | pose_hrnet | 1.166 | 0.389 | 0.716 | 0.651 | 0.777 | 0.972 | 0.781 | 0.760 | 0.037 |
+2024-01-17 09:31:11,558 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:31:21,024 Epoch: [28][0/80]	Time 6.087s (6.087s)	Speed 10.5 samples/s	Data 4.764s (4.764s)	Loss 0.00042 (0.00042)	Accuracy 0.887 (0.887)
+2024-01-17 09:33:09,638 Test: [0/13]	Time 5.330 (5.330)	Loss 0.0004 (0.0004)	Accuracy 0.892 (0.892)
+2024-01-17 09:33:21,198 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:33:21,198 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:33:21,198 | pose_hrnet | 0.518 | 0.777 | 0.976 | 0.586 | 0.777 | 1.231 | 0.781 | 0.853 | 0.019 |
+2024-01-17 09:33:21,201 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:33:29,732 Epoch: [29][0/80]	Time 5.878s (5.878s)	Speed 10.9 samples/s	Data 4.557s (4.557s)	Loss 0.00036 (0.00036)	Accuracy 0.926 (0.926)
+2024-01-17 09:35:18,422 Test: [0/13]	Time 5.255 (5.255)	Loss 0.0004 (0.0004)	Accuracy 0.894 (0.894)
+2024-01-17 09:35:29,790 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:35:29,790 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:35:29,790 | pose_hrnet | 0.648 | 0.842 | 0.911 | 0.521 | 0.842 | 1.101 | 0.521 | 0.770 | 0.009 |
+2024-01-17 09:35:29,794 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:35:37,753 Epoch: [30][0/80]	Time 5.200s (5.200s)	Speed 12.3 samples/s	Data 3.879s (3.879s)	Loss 0.00041 (0.00041)	Accuracy 0.888 (0.888)
+2024-01-17 09:37:26,831 Test: [0/13]	Time 5.183 (5.183)	Loss 0.0004 (0.0004)	Accuracy 0.890 (0.890)
+2024-01-17 09:37:38,039 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:37:38,039 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:37:38,039 | pose_hrnet | 0.907 | 0.453 | 0.846 | 0.716 | 0.907 | 0.972 | 0.911 | 0.816 | 0.019 |
+2024-01-17 09:37:38,043 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:37:46,603 Epoch: [31][0/80]	Time 5.772s (5.772s)	Speed 11.1 samples/s	Data 4.464s (4.464s)	Loss 0.00047 (0.00047)	Accuracy 0.853 (0.853)
+2024-01-17 09:39:35,576 Test: [0/13]	Time 5.334 (5.334)	Loss 0.0004 (0.0004)	Accuracy 0.886 (0.886)
+2024-01-17 09:39:47,242 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:39:47,242 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:39:47,242 | pose_hrnet | 1.036 | 0.583 | 1.171 | 0.521 | 1.036 | 1.036 | 0.586 | 0.834 | 0.009 |
+2024-01-17 09:39:47,246 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:39:55,941 Epoch: [32][0/80]	Time 5.725s (5.725s)	Speed 11.2 samples/s	Data 4.418s (4.418s)	Loss 0.00039 (0.00039)	Accuracy 0.917 (0.917)
+2024-01-17 09:41:45,100 Test: [0/13]	Time 5.334 (5.334)	Loss 0.0004 (0.0004)	Accuracy 0.877 (0.877)
+2024-01-17 09:41:56,713 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:41:56,713 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:41:56,713 | pose_hrnet | 1.425 | 0.777 | 0.911 | 0.781 | 0.842 | 0.842 | 0.521 | 0.862 | 0.028 |
+2024-01-17 09:41:56,717 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:42:06,003 Epoch: [33][0/80]	Time 5.753s (5.753s)	Speed 11.1 samples/s	Data 4.432s (4.432s)	Loss 0.00037 (0.00037)	Accuracy 0.923 (0.923)
+2024-01-17 09:43:55,476 Test: [0/13]	Time 5.676 (5.676)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 09:44:06,873 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:44:06,873 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:44:06,873 | pose_hrnet | 1.036 | 0.453 | 1.367 | 0.781 | 0.712 | 0.777 | 0.977 | 0.872 | 0.019 |
+2024-01-17 09:44:06,880 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:44:15,796 Epoch: [34][0/80]	Time 5.917s (5.917s)	Speed 10.8 samples/s	Data 4.603s (4.603s)	Loss 0.00040 (0.00040)	Accuracy 0.906 (0.906)
+2024-01-17 09:46:05,143 Test: [0/13]	Time 5.603 (5.603)	Loss 0.0004 (0.0004)	Accuracy 0.875 (0.875)
+2024-01-17 09:46:16,526 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:46:16,526 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:46:16,526 | pose_hrnet | 0.777 | 0.518 | 1.041 | 0.846 | 1.101 | 1.036 | 0.586 | 0.872 | 0.028 |
+2024-01-17 09:46:16,529 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:46:25,083 Epoch: [35][0/80]	Time 5.423s (5.423s)	Speed 11.8 samples/s	Data 4.115s (4.115s)	Loss 0.00036 (0.00036)	Accuracy 0.921 (0.921)
+2024-01-17 09:48:14,452 Test: [0/13]	Time 5.558 (5.558)	Loss 0.0004 (0.0004)	Accuracy 0.889 (0.889)
+2024-01-17 09:48:25,843 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:48:25,843 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:48:25,843 | pose_hrnet | 1.036 | 0.777 | 1.366 | 0.781 | 0.777 | 0.777 | 0.521 | 0.872 | 0.046 |
+2024-01-17 09:48:25,846 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:48:34,806 Epoch: [36][0/80]	Time 5.568s (5.568s)	Speed 11.5 samples/s	Data 4.255s (4.255s)	Loss 0.00034 (0.00034)	Accuracy 0.929 (0.929)
+2024-01-17 09:50:24,159 Test: [0/13]	Time 5.530 (5.530)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 09:50:35,589 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:50:35,590 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:50:35,590 | pose_hrnet | 1.295 | 0.648 | 1.041 | 0.781 | 0.648 | 1.231 | 0.716 | 0.890 | 0.019 |
+2024-01-17 09:50:35,593 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:50:44,293 Epoch: [37][0/80]	Time 5.470s (5.470s)	Speed 11.7 samples/s	Data 4.167s (4.167s)	Loss 0.00035 (0.00035)	Accuracy 0.928 (0.928)
+2024-01-17 09:52:33,469 Test: [0/13]	Time 5.459 (5.459)	Loss 0.0004 (0.0004)	Accuracy 0.891 (0.891)
+2024-01-17 09:52:44,943 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:52:44,943 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:52:44,943 | pose_hrnet | 1.036 | 0.842 | 0.781 | 0.456 | 0.907 | 0.842 | 0.586 | 0.760 | 0.009 |
+2024-01-17 09:52:44,946 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:52:53,621 Epoch: [38][0/80]	Time 5.756s (5.756s)	Speed 11.1 samples/s	Data 4.445s (4.445s)	Loss 0.00036 (0.00036)	Accuracy 0.945 (0.945)
+2024-01-17 09:54:42,425 Test: [0/13]	Time 5.547 (5.547)	Loss 0.0004 (0.0004)	Accuracy 0.903 (0.903)
+2024-01-17 09:54:53,751 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:54:53,751 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:54:53,751 | pose_hrnet | 1.295 | 0.583 | 0.976 | 0.781 | 1.036 | 0.907 | 1.042 | 0.899 | 0.028 |
+2024-01-17 09:54:53,755 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:55:01,506 Epoch: [39][0/80]	Time 5.178s (5.178s)	Speed 12.4 samples/s	Data 3.870s (3.870s)	Loss 0.00033 (0.00033)	Accuracy 0.945 (0.945)
+2024-01-17 09:56:51,127 Test: [0/13]	Time 5.618 (5.618)	Loss 0.0004 (0.0004)	Accuracy 0.887 (0.887)
+2024-01-17 09:57:02,350 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:57:02,350 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:57:02,350 | pose_hrnet | 0.777 | 0.583 | 0.911 | 0.846 | 0.777 | 0.777 | 0.781 | 0.797 | 0.019 |
+2024-01-17 09:57:02,354 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:57:10,385 Epoch: [40][0/80]	Time 5.429s (5.429s)	Speed 11.8 samples/s	Data 4.118s (4.118s)	Loss 0.00031 (0.00031)	Accuracy 0.939 (0.939)
+2024-01-17 09:58:59,811 Test: [0/13]	Time 5.471 (5.471)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 09:59:11,067 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 09:59:11,067 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 09:59:11,067 | pose_hrnet | 0.777 | 0.712 | 1.171 | 0.911 | 0.648 | 0.972 | 0.521 | 0.816 | 0.019 |
+2024-01-17 09:59:11,071 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 09:59:19,509 Epoch: [41][0/80]	Time 5.444s (5.444s)	Speed 11.8 samples/s	Data 4.142s (4.142s)	Loss 0.00034 (0.00034)	Accuracy 0.939 (0.939)
+2024-01-17 10:01:08,563 Test: [0/13]	Time 5.273 (5.273)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 10:01:20,197 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:01:20,197 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:01:20,197 | pose_hrnet | 0.518 | 0.712 | 1.236 | 0.651 | 0.777 | 1.166 | 0.781 | 0.881 | 0.037 |
+2024-01-17 10:01:20,200 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:01:28,797 Epoch: [42][0/80]	Time 5.738s (5.738s)	Speed 11.2 samples/s	Data 4.428s (4.428s)	Loss 0.00036 (0.00036)	Accuracy 0.934 (0.934)
+2024-01-17 10:03:17,557 Test: [0/13]	Time 5.370 (5.370)	Loss 0.0004 (0.0004)	Accuracy 0.891 (0.891)
+2024-01-17 10:03:28,788 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:03:28,788 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:03:28,788 | pose_hrnet | 0.907 | 0.777 | 1.301 | 0.781 | 0.648 | 1.684 | 0.716 | 0.964 | 0.019 |
+2024-01-17 10:03:28,791 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:03:37,105 Epoch: [43][0/80]	Time 5.578s (5.578s)	Speed 11.5 samples/s	Data 4.267s (4.267s)	Loss 0.00034 (0.00034)	Accuracy 0.941 (0.941)
+2024-01-17 10:05:26,339 Test: [0/13]	Time 5.500 (5.500)	Loss 0.0004 (0.0004)	Accuracy 0.900 (0.900)
+2024-01-17 10:05:37,594 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:05:37,594 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:05:37,594 | pose_hrnet | 0.777 | 0.842 | 1.106 | 0.391 | 0.712 | 0.972 | 0.781 | 0.797 | 0.028 |
+2024-01-17 10:05:37,598 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:05:46,924 Epoch: [44][0/80]	Time 6.134s (6.134s)	Speed 10.4 samples/s	Data 4.805s (4.805s)	Loss 0.00032 (0.00032)	Accuracy 0.940 (0.940)
+2024-01-17 10:07:35,669 Test: [0/13]	Time 5.263 (5.263)	Loss 0.0004 (0.0004)	Accuracy 0.902 (0.902)
+2024-01-17 10:07:47,203 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:07:47,203 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:07:47,203 | pose_hrnet | 1.166 | 1.036 | 1.236 | 0.716 | 0.712 | 1.166 | 0.586 | 0.890 | 0.028 |
+2024-01-17 10:07:47,206 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:07:56,108 Epoch: [45][0/80]	Time 5.648s (5.648s)	Speed 11.3 samples/s	Data 4.328s (4.328s)	Loss 0.00037 (0.00037)	Accuracy 0.909 (0.909)
+2024-01-17 10:09:45,198 Test: [0/13]	Time 5.584 (5.584)	Loss 0.0004 (0.0004)	Accuracy 0.907 (0.907)
+2024-01-17 10:09:56,517 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:09:56,517 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:09:56,517 | pose_hrnet | 1.166 | 0.777 | 1.041 | 0.651 | 0.712 | 1.295 | 0.716 | 0.881 | 0.019 |
+2024-01-17 10:09:56,521 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:10:05,060 Epoch: [46][0/80]	Time 5.457s (5.457s)	Speed 11.7 samples/s	Data 4.143s (4.143s)	Loss 0.00035 (0.00035)	Accuracy 0.941 (0.941)
+2024-01-17 10:11:54,043 Test: [0/13]	Time 5.321 (5.321)	Loss 0.0004 (0.0004)	Accuracy 0.892 (0.892)
+2024-01-17 10:12:05,503 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:12:05,503 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:12:05,503 | pose_hrnet | 1.036 | 1.036 | 0.911 | 0.651 | 0.777 | 1.036 | 0.911 | 0.890 | 0.028 |
+2024-01-17 10:12:05,507 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:12:14,037 Epoch: [47][0/80]	Time 5.663s (5.663s)	Speed 11.3 samples/s	Data 4.350s (4.350s)	Loss 0.00036 (0.00036)	Accuracy 0.919 (0.919)
+2024-01-17 10:14:03,289 Test: [0/13]	Time 5.564 (5.564)	Loss 0.0004 (0.0004)	Accuracy 0.902 (0.902)
+2024-01-17 10:14:14,737 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:14:14,737 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:14:14,737 | pose_hrnet | 1.166 | 1.101 | 1.432 | 1.042 | 0.842 | 0.712 | 0.911 | 1.001 | 0.046 |
+2024-01-17 10:14:14,740 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:14:24,763 Epoch: [48][0/80]	Time 5.310s (5.310s)	Speed 12.1 samples/s	Data 3.998s (3.998s)	Loss 0.00035 (0.00035)	Accuracy 0.919 (0.919)
+2024-01-17 10:16:13,948 Test: [0/13]	Time 5.265 (5.265)	Loss 0.0004 (0.0004)	Accuracy 0.889 (0.889)
+2024-01-17 10:16:25,510 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:16:25,510 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:16:25,510 | pose_hrnet | 1.295 | 0.972 | 1.106 | 0.651 | 0.712 | 1.036 | 0.586 | 0.872 | 0.046 |
+2024-01-17 10:16:25,513 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:16:36,156 Epoch: [49][0/80]	Time 6.758s (6.758s)	Speed 9.5 samples/s	Data 5.425s (5.425s)	Loss 0.00032 (0.00032)	Accuracy 0.942 (0.942)
+2024-01-17 10:18:25,037 Test: [0/13]	Time 5.232 (5.232)	Loss 0.0004 (0.0004)	Accuracy 0.884 (0.884)
+2024-01-17 10:18:36,836 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:18:36,837 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:18:36,837 | pose_hrnet | 1.166 | 0.518 | 1.692 | 0.781 | 0.842 | 0.972 | 0.716 | 0.955 | 0.046 |
+2024-01-17 10:18:36,840 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:18:45,754 Epoch: [50][0/80]	Time 5.833s (5.833s)	Speed 11.0 samples/s	Data 4.529s (4.529s)	Loss 0.00036 (0.00036)	Accuracy 0.923 (0.923)
+2024-01-17 10:20:34,675 Test: [0/13]	Time 5.503 (5.503)	Loss 0.0004 (0.0004)	Accuracy 0.900 (0.900)
+2024-01-17 10:20:46,269 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:20:46,269 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:20:46,270 | pose_hrnet | 1.295 | 0.712 | 1.106 | 0.716 | 0.453 | 1.101 | 0.586 | 0.807 | 0.037 |
+2024-01-17 10:20:46,273 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:20:54,746 Epoch: [51][0/80]	Time 5.475s (5.475s)	Speed 11.7 samples/s	Data 4.143s (4.143s)	Loss 0.00030 (0.00030)	Accuracy 0.949 (0.949)
+2024-01-17 10:22:44,105 Test: [0/13]	Time 5.540 (5.540)	Loss 0.0004 (0.0004)	Accuracy 0.892 (0.892)
+2024-01-17 10:22:55,420 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:22:55,420 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:22:55,420 | pose_hrnet | 1.036 | 0.648 | 1.236 | 0.716 | 0.648 | 0.777 | 0.716 | 0.834 | 0.037 |
+2024-01-17 10:22:55,423 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:23:03,959 Epoch: [52][0/80]	Time 5.649s (5.649s)	Speed 11.3 samples/s	Data 4.342s (4.342s)	Loss 0.00033 (0.00033)	Accuracy 0.924 (0.924)
+2024-01-17 10:24:52,925 Test: [0/13]	Time 5.348 (5.348)	Loss 0.0004 (0.0004)	Accuracy 0.907 (0.907)
+2024-01-17 10:25:04,512 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:25:04,512 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:25:04,512 | pose_hrnet | 1.554 | 0.777 | 1.171 | 0.586 | 0.712 | 1.101 | 0.586 | 0.872 | 0.028 |
+2024-01-17 10:25:04,516 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:25:13,305 Epoch: [53][0/80]	Time 5.636s (5.636s)	Speed 11.4 samples/s	Data 4.319s (4.319s)	Loss 0.00031 (0.00031)	Accuracy 0.942 (0.942)
+2024-01-17 10:27:02,250 Test: [0/13]	Time 5.284 (5.284)	Loss 0.0004 (0.0004)	Accuracy 0.903 (0.903)
+2024-01-17 10:27:13,749 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:27:13,749 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:27:13,749 | pose_hrnet | 1.554 | 0.842 | 0.976 | 0.781 | 0.583 | 0.712 | 1.172 | 0.918 | 0.028 |
+2024-01-17 10:27:13,752 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:27:22,700 Epoch: [54][0/80]	Time 5.367s (5.367s)	Speed 11.9 samples/s	Data 4.044s (4.044s)	Loss 0.00034 (0.00034)	Accuracy 0.911 (0.911)
+2024-01-17 10:29:12,149 Test: [0/13]	Time 5.595 (5.595)	Loss 0.0004 (0.0004)	Accuracy 0.894 (0.894)
+2024-01-17 10:29:23,605 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:29:23,605 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:29:23,606 | pose_hrnet | 1.295 | 0.583 | 1.236 | 0.651 | 0.842 | 0.907 | 0.586 | 0.853 | 0.056 |
+2024-01-17 10:29:23,609 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:29:32,909 Epoch: [55][0/80]	Time 5.709s (5.709s)	Speed 11.2 samples/s	Data 4.396s (4.396s)	Loss 0.00031 (0.00031)	Accuracy 0.950 (0.950)
+2024-01-17 10:31:22,055 Test: [0/13]	Time 5.651 (5.651)	Loss 0.0004 (0.0004)	Accuracy 0.890 (0.890)
+2024-01-17 10:31:33,199 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:31:33,199 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:31:33,199 | pose_hrnet | 1.036 | 0.583 | 1.106 | 0.521 | 0.777 | 1.101 | 0.456 | 0.779 | 0.019 |
+2024-01-17 10:31:33,202 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:31:41,861 Epoch: [56][0/80]	Time 5.136s (5.136s)	Speed 12.5 samples/s	Data 3.801s (3.801s)	Loss 0.00030 (0.00030)	Accuracy 0.953 (0.953)
+2024-01-17 10:33:31,085 Test: [0/13]	Time 5.308 (5.308)	Loss 0.0004 (0.0004)	Accuracy 0.899 (0.899)
+2024-01-17 10:33:42,407 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:33:42,407 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:33:42,407 | pose_hrnet | 1.166 | 0.842 | 1.171 | 0.846 | 0.777 | 0.777 | 0.846 | 0.890 | 0.065 |
+2024-01-17 10:33:42,410 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:33:50,885 Epoch: [57][0/80]	Time 5.349s (5.349s)	Speed 12.0 samples/s	Data 4.029s (4.029s)	Loss 0.00033 (0.00033)	Accuracy 0.948 (0.948)
+2024-01-17 10:35:39,887 Test: [0/13]	Time 5.185 (5.185)	Loss 0.0004 (0.0004)	Accuracy 0.893 (0.893)
+2024-01-17 10:35:51,324 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:35:51,324 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:35:51,324 | pose_hrnet | 0.907 | 0.907 | 1.041 | 1.237 | 0.648 | 0.712 | 0.846 | 0.890 | 0.046 |
+2024-01-17 10:35:51,327 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:35:59,846 Epoch: [58][0/80]	Time 5.659s (5.659s)	Speed 11.3 samples/s	Data 4.352s (4.352s)	Loss 0.00030 (0.00030)	Accuracy 0.953 (0.953)
+2024-01-17 10:37:48,686 Test: [0/13]	Time 5.150 (5.150)	Loss 0.0004 (0.0004)	Accuracy 0.890 (0.890)
+2024-01-17 10:37:59,956 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:37:59,956 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:37:59,956 | pose_hrnet | 1.684 | 0.583 | 0.781 | 0.846 | 0.907 | 0.842 | 0.846 | 0.872 | 0.037 |
+2024-01-17 10:37:59,959 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:38:09,044 Epoch: [59][0/80]	Time 5.632s (5.632s)	Speed 11.4 samples/s	Data 4.296s (4.296s)	Loss 0.00030 (0.00030)	Accuracy 0.948 (0.948)
+2024-01-17 10:39:58,056 Test: [0/13]	Time 5.398 (5.398)	Loss 0.0004 (0.0004)	Accuracy 0.906 (0.906)
+2024-01-17 10:40:09,566 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:40:09,566 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:40:09,566 | pose_hrnet | 1.166 | 0.648 | 1.041 | 0.846 | 0.907 | 1.101 | 1.107 | 0.936 | 0.019 |
+2024-01-17 10:40:09,569 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:40:18,646 Epoch: [60][0/80]	Time 6.064s (6.064s)	Speed 10.6 samples/s	Data 4.761s (4.761s)	Loss 0.00034 (0.00034)	Accuracy 0.932 (0.932)
+2024-01-17 10:42:07,877 Test: [0/13]	Time 5.732 (5.732)	Loss 0.0004 (0.0004)	Accuracy 0.900 (0.900)
+2024-01-17 10:42:18,953 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:42:18,953 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:42:18,953 | pose_hrnet | 0.907 | 0.518 | 0.846 | 0.846 | 0.777 | 0.518 | 0.846 | 0.751 | 0.019 |
+2024-01-17 10:42:18,956 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:42:28,035 Epoch: [61][0/80]	Time 5.316s (5.316s)	Speed 12.0 samples/s	Data 3.994s (3.994s)	Loss 0.00032 (0.00032)	Accuracy 0.928 (0.928)
+2024-01-17 10:44:17,311 Test: [0/13]	Time 5.467 (5.467)	Loss 0.0004 (0.0004)	Accuracy 0.894 (0.894)
+2024-01-17 10:44:28,481 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:44:28,481 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:44:28,481 | pose_hrnet | 1.295 | 0.777 | 1.236 | 0.651 | 0.712 | 1.101 | 0.651 | 0.918 | 0.028 |
+2024-01-17 10:44:28,484 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:44:37,174 Epoch: [62][0/80]	Time 5.734s (5.734s)	Speed 11.2 samples/s	Data 4.402s (4.402s)	Loss 0.00032 (0.00032)	Accuracy 0.940 (0.940)
+2024-01-17 10:46:26,116 Test: [0/13]	Time 5.435 (5.435)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 10:46:37,430 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:46:37,430 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:46:37,430 | pose_hrnet | 1.036 | 0.648 | 0.651 | 1.042 | 0.777 | 0.907 | 0.651 | 0.807 | 0.028 |
+2024-01-17 10:46:37,433 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:46:46,444 Epoch: [63][0/80]	Time 5.084s (5.084s)	Speed 12.6 samples/s	Data 3.760s (3.760s)	Loss 0.00028 (0.00028)	Accuracy 0.955 (0.955)
+2024-01-17 10:48:36,170 Test: [0/13]	Time 5.446 (5.446)	Loss 0.0004 (0.0004)	Accuracy 0.884 (0.884)
+2024-01-17 10:48:47,719 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:48:47,720 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:48:47,720 | pose_hrnet | 1.295 | 0.583 | 1.301 | 0.781 | 0.583 | 0.777 | 0.846 | 0.881 | 0.037 |
+2024-01-17 10:48:47,723 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:48:56,606 Epoch: [64][0/80]	Time 5.496s (5.496s)	Speed 11.6 samples/s	Data 4.166s (4.166s)	Loss 0.00032 (0.00032)	Accuracy 0.928 (0.928)
+2024-01-17 10:50:45,737 Test: [0/13]	Time 5.276 (5.276)	Loss 0.0004 (0.0004)	Accuracy 0.891 (0.891)
+2024-01-17 10:50:56,926 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:50:56,926 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:50:56,926 | pose_hrnet | 1.295 | 0.842 | 1.366 | 0.977 | 0.712 | 1.036 | 0.977 | 0.992 | 0.046 |
+2024-01-17 10:50:56,929 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:51:06,323 Epoch: [65][0/80]	Time 5.961s (5.961s)	Speed 10.7 samples/s	Data 4.631s (4.631s)	Loss 0.00032 (0.00032)	Accuracy 0.929 (0.929)
+2024-01-17 10:52:55,274 Test: [0/13]	Time 5.428 (5.428)	Loss 0.0004 (0.0004)	Accuracy 0.893 (0.893)
+2024-01-17 10:53:06,538 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:53:06,538 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:53:06,538 | pose_hrnet | 0.907 | 0.648 | 0.781 | 1.172 | 0.712 | 1.295 | 0.781 | 0.890 | 0.046 |
+2024-01-17 10:53:06,542 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:53:15,658 Epoch: [66][0/80]	Time 5.897s (5.897s)	Speed 10.9 samples/s	Data 4.579s (4.579s)	Loss 0.00035 (0.00035)	Accuracy 0.925 (0.925)
+2024-01-17 10:55:05,088 Test: [0/13]	Time 5.706 (5.706)	Loss 0.0004 (0.0004)	Accuracy 0.903 (0.903)
+2024-01-17 10:55:16,405 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:55:16,405 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:55:16,405 | pose_hrnet | 1.036 | 0.777 | 1.171 | 1.172 | 0.583 | 1.101 | 0.781 | 0.927 | 0.019 |
+2024-01-17 10:55:16,408 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:55:25,341 Epoch: [67][0/80]	Time 5.787s (5.787s)	Speed 11.1 samples/s	Data 4.459s (4.459s)	Loss 0.00026 (0.00026)	Accuracy 0.962 (0.962)
+2024-01-17 10:57:14,393 Test: [0/13]	Time 5.641 (5.641)	Loss 0.0004 (0.0004)	Accuracy 0.893 (0.893)
+2024-01-17 10:57:25,679 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:57:25,679 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:57:25,679 | pose_hrnet | 1.295 | 0.583 | 0.911 | 1.042 | 0.389 | 0.907 | 0.911 | 0.825 | 0.037 |
+2024-01-17 10:57:25,682 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:57:34,504 Epoch: [68][0/80]	Time 5.713s (5.713s)	Speed 11.2 samples/s	Data 4.393s (4.393s)	Loss 0.00028 (0.00028)	Accuracy 0.960 (0.960)
+2024-01-17 10:59:23,574 Test: [0/13]	Time 5.288 (5.288)	Loss 0.0004 (0.0004)	Accuracy 0.902 (0.902)
+2024-01-17 10:59:34,878 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 10:59:34,878 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 10:59:34,878 | pose_hrnet | 1.036 | 0.648 | 0.976 | 0.716 | 0.777 | 0.712 | 0.586 | 0.770 | 0.019 |
+2024-01-17 10:59:34,881 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 10:59:43,846 Epoch: [69][0/80]	Time 5.813s (5.813s)	Speed 11.0 samples/s	Data 4.504s (4.504s)	Loss 0.00033 (0.00033)	Accuracy 0.928 (0.928)
+2024-01-17 11:01:32,893 Test: [0/13]	Time 5.432 (5.432)	Loss 0.0004 (0.0004)	Accuracy 0.900 (0.900)
+2024-01-17 11:01:44,016 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:01:44,017 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:01:44,017 | pose_hrnet | 0.907 | 0.453 | 1.171 | 0.846 | 0.583 | 0.842 | 0.521 | 0.779 | 0.046 |
+2024-01-17 11:01:44,020 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:01:52,732 Epoch: [70][0/80]	Time 5.786s (5.786s)	Speed 11.1 samples/s	Data 4.477s (4.477s)	Loss 0.00029 (0.00029)	Accuracy 0.967 (0.967)
+2024-01-17 11:03:41,986 Test: [0/13]	Time 5.504 (5.504)	Loss 0.0004 (0.0004)	Accuracy 0.906 (0.906)
+2024-01-17 11:03:53,670 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:03:53,670 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:03:53,670 | pose_hrnet | 1.295 | 0.842 | 0.976 | 0.781 | 0.518 | 0.583 | 0.651 | 0.807 | 0.028 |
+2024-01-17 11:03:53,673 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:04:02,343 Epoch: [71][0/80]	Time 5.639s (5.639s)	Speed 11.3 samples/s	Data 4.314s (4.314s)	Loss 0.00031 (0.00031)	Accuracy 0.941 (0.941)
+2024-01-17 11:05:51,698 Test: [0/13]	Time 5.591 (5.591)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 11:06:02,829 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:06:02,829 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:06:02,829 | pose_hrnet | 1.036 | 0.324 | 1.106 | 0.781 | 0.453 | 0.907 | 0.781 | 0.788 | 0.028 |
+2024-01-17 11:06:02,832 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:06:12,088 Epoch: [72][0/80]	Time 5.771s (5.771s)	Speed 11.1 samples/s	Data 4.442s (4.442s)	Loss 0.00030 (0.00030)	Accuracy 0.957 (0.957)
diff --git a/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-17-11-21_train.log b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-17-11-21_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..78d2d2df3e4510da456d446b11fa92eda834173a
--- /dev/null
+++ b/output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/w32_256x256_adam_lr1e-3_2024-01-17-11-21_train.log
@@ -0,0 +1,945 @@
+2024-01-17 11:21:58,648 Namespace(cfg='./deep-high-resolution-net.pytorch/experiments/mpii/hrnet/w32_256x256_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=[], prevModelDir='')
+2024-01-17 11:21:58,649 AUTO_RESUME: True
+CUDNN:
+  BENCHMARK: True
+  DETERMINISTIC: False
+  ENABLED: True
+DATASET:
+  COLOR_RGB: True
+  DATASET: mpii
+  DATA_FORMAT: jpg
+  FLIP: True
+  HYBRID_JOINTS_TYPE: 
+  NUM_JOINTS_HALF_BODY: 8
+  PROB_HALF_BODY: -1.0
+  ROOT: deep-high-resolution-net.pytorch/data/mpii/
+  ROT_FACTOR: 30
+  SCALE_FACTOR: 0.25
+  SELECT_DATA: False
+  TEST_SET: valid
+  TRAIN_SET: train_all
+DATA_DIR: 
+DEBUG:
+  DEBUG: True
+  SAVE_BATCH_IMAGES_GT: True
+  SAVE_BATCH_IMAGES_PRED: True
+  SAVE_HEATMAPS_GT: True
+  SAVE_HEATMAPS_PRED: True
+GPUS: (0,)
+LOG_DIR: log
+LOSS:
+  TOPK: 8
+  USE_DIFFERENT_JOINTS_WEIGHT: False
+  USE_OHKM: False
+  USE_TARGET_WEIGHT: True
+MODEL:
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4']
+    STAGE2:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4]
+      NUM_BRANCHES: 2
+      NUM_CHANNELS: [32, 64]
+      NUM_MODULES: 1
+    STAGE3:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4]
+      NUM_BRANCHES: 3
+      NUM_CHANNELS: [32, 64, 128]
+      NUM_MODULES: 4
+    STAGE4:
+      BLOCK: BASIC
+      FUSE_METHOD: SUM
+      NUM_BLOCKS: [4, 4, 4, 4]
+      NUM_BRANCHES: 4
+      NUM_CHANNELS: [32, 64, 128, 256]
+      NUM_MODULES: 3
+  HEATMAP_SIZE: [64, 64]
+  IMAGE_SIZE: [256, 256]
+  INIT_WEIGHTS: True
+  NAME: pose_hrnet
+  NUM_JOINTS: 16
+  PRETRAINED: deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+  SIGMA: 2
+  TAG_PER_JOINT: True
+  TARGET_TYPE: gaussian
+OUTPUT_DIR: output
+PIN_MEMORY: True
+PRINT_FREQ: 100
+RANK: 0
+TEST:
+  BATCH_SIZE_PER_GPU: 64
+  BBOX_THRE: 1.0
+  COCO_BBOX_FILE: 
+  FLIP_TEST: True
+  IMAGE_THRE: 0.1
+  IN_VIS_THRE: 0.0
+  MODEL_FILE: ./output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/model_best.pth
+  NMS_THRE: 0.6
+  OKS_THRE: 0.5
+  POST_PROCESS: True
+  SHIFT_HEATMAP: True
+  SOFT_NMS: False
+  USE_GT_BBOX: False
+TRAIN:
+  BATCH_SIZE_PER_GPU: 64
+  BEGIN_EPOCH: 0
+  CHECKPOINT: 
+  END_EPOCH: 210
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP: [170, 200]
+  MOMENTUM: 0.9
+  NESTEROV: False
+  OPTIMIZER: adam
+  RESUME: False
+  SHUFFLE: True
+  WD: 0.0001
+WORKERS: 8
+2024-01-17 11:21:58,967 => init weights from normal distribution
+2024-01-17 11:22:02,103 => loading pretrained model deep-high-resolution-net.pytorch/models/pytorch/pose_mpii/pose_hrnet_w32_256x256.pth
+2024-01-17 11:22:10,105 
+Total Parameters: 28,536,080
+----------------------------------------------------------------------------------------------------------------------------------
+Total Multiply Adds (For Convolution and Linear Layers only): 9.4931640625 GFLOPs
+----------------------------------------------------------------------------------------------------------------------------------
+Number of Layers
+Conv2d : 293 layers   BatchNorm2d : 292 layers   ReLU : 261 layers   Bottleneck : 4 layers   BasicBlock : 104 layers   Upsample : 28 layers   HighResolutionModule : 8 layers   
+2024-01-17 11:22:11,114 => load 5066 samples
+2024-01-17 11:22:11,181 => load 772 samples
+2024-01-17 11:22:11,271 => loading checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth'
+2024-01-17 11:22:21,390 => loaded checkpoint 'output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/checkpoint.pth' (epoch 72)
+2024-01-17 11:22:34,643 Epoch: [72][0/80]	Time 13.248s (13.248s)	Speed 4.8 samples/s	Data 4.513s (4.513s)	Loss 0.00030 (0.00030)	Accuracy 0.926 (0.926)
+2024-01-17 11:24:18,872 Test: [0/13]	Time 5.808 (5.808)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 11:24:30,235 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:24:30,235 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:24:30,235 | pose_hrnet | 0.907 | 0.712 | 0.976 | 0.911 | 0.648 | 0.972 | 0.651 | 0.825 | 0.028 |
+2024-01-17 11:24:31,076 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:24:40,808 Epoch: [73][0/80]	Time 5.719s (5.719s)	Speed 11.2 samples/s	Data 4.422s (4.422s)	Loss 0.00032 (0.00032)	Accuracy 0.938 (0.938)
+2024-01-17 11:26:26,988 Test: [0/13]	Time 5.207 (5.207)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 11:26:38,341 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:26:38,341 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:26:38,342 | pose_hrnet | 0.907 | 0.777 | 1.366 | 1.107 | 0.842 | 0.907 | 0.651 | 0.964 | 0.028 |
+2024-01-17 11:26:38,345 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:26:48,256 Epoch: [74][0/80]	Time 5.896s (5.896s)	Speed 10.9 samples/s	Data 4.607s (4.607s)	Loss 0.00033 (0.00033)	Accuracy 0.939 (0.939)
+2024-01-17 11:28:35,362 Test: [0/13]	Time 5.636 (5.636)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 11:28:46,674 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:28:46,674 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:28:46,674 | pose_hrnet | 0.907 | 0.453 | 1.236 | 0.781 | 0.907 | 0.712 | 0.781 | 0.825 | 0.046 |
+2024-01-17 11:28:46,678 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:28:55,190 Epoch: [75][0/80]	Time 5.713s (5.713s)	Speed 11.2 samples/s	Data 4.404s (4.404s)	Loss 0.00029 (0.00029)	Accuracy 0.942 (0.942)
+2024-01-17 11:30:41,952 Test: [0/13]	Time 5.097 (5.097)	Loss 0.0004 (0.0004)	Accuracy 0.894 (0.894)
+2024-01-17 11:30:53,429 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:30:53,429 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:30:53,429 | pose_hrnet | 1.166 | 0.648 | 1.236 | 1.042 | 0.712 | 0.907 | 0.911 | 0.936 | 0.056 |
+2024-01-17 11:30:53,432 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:31:02,186 Epoch: [76][0/80]	Time 5.938s (5.938s)	Speed 10.8 samples/s	Data 4.650s (4.650s)	Loss 0.00032 (0.00032)	Accuracy 0.927 (0.927)
+2024-01-17 11:32:49,374 Test: [0/13]	Time 5.552 (5.552)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 11:33:00,653 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:33:00,653 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:33:00,654 | pose_hrnet | 1.036 | 0.583 | 1.106 | 0.781 | 0.712 | 0.972 | 1.042 | 0.927 | 0.037 |
+2024-01-17 11:33:00,657 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:33:08,835 Epoch: [77][0/80]	Time 5.375s (5.375s)	Speed 11.9 samples/s	Data 4.059s (4.059s)	Loss 0.00032 (0.00032)	Accuracy 0.946 (0.946)
+2024-01-17 11:34:56,535 Test: [0/13]	Time 5.708 (5.708)	Loss 0.0004 (0.0004)	Accuracy 0.885 (0.885)
+2024-01-17 11:35:08,150 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:35:08,150 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:35:08,150 | pose_hrnet | 0.648 | 0.907 | 0.911 | 0.977 | 0.777 | 1.101 | 0.651 | 0.890 | 0.028 |
+2024-01-17 11:35:08,153 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:35:16,547 Epoch: [78][0/80]	Time 5.699s (5.699s)	Speed 11.2 samples/s	Data 4.398s (4.398s)	Loss 0.00032 (0.00032)	Accuracy 0.951 (0.951)
+2024-01-17 11:37:03,513 Test: [0/13]	Time 5.195 (5.195)	Loss 0.0004 (0.0004)	Accuracy 0.892 (0.892)
+2024-01-17 11:37:15,124 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:37:15,124 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:37:15,124 | pose_hrnet | 1.166 | 0.777 | 1.301 | 1.042 | 0.712 | 0.907 | 0.716 | 0.927 | 0.028 |
+2024-01-17 11:37:15,127 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:37:23,748 Epoch: [79][0/80]	Time 5.532s (5.532s)	Speed 11.6 samples/s	Data 4.226s (4.226s)	Loss 0.00033 (0.00033)	Accuracy 0.945 (0.945)
+2024-01-17 11:39:11,020 Test: [0/13]	Time 5.352 (5.352)	Loss 0.0004 (0.0004)	Accuracy 0.889 (0.889)
+2024-01-17 11:39:22,450 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:39:22,450 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:39:22,450 | pose_hrnet | 0.907 | 0.583 | 1.496 | 0.977 | 0.648 | 0.907 | 0.846 | 0.946 | 0.037 |
+2024-01-17 11:39:22,454 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:39:32,108 Epoch: [80][0/80]	Time 5.731s (5.731s)	Speed 11.2 samples/s	Data 4.433s (4.433s)	Loss 0.00034 (0.00034)	Accuracy 0.925 (0.925)
+2024-01-17 11:41:19,595 Test: [0/13]	Time 5.361 (5.361)	Loss 0.0004 (0.0004)	Accuracy 0.892 (0.892)
+2024-01-17 11:41:31,232 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:41:31,232 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:41:31,232 | pose_hrnet | 1.166 | 0.583 | 1.496 | 0.716 | 0.907 | 0.777 | 0.911 | 0.964 | 0.037 |
+2024-01-17 11:41:31,235 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:41:39,473 Epoch: [81][0/80]	Time 5.561s (5.561s)	Speed 11.5 samples/s	Data 4.275s (4.275s)	Loss 0.00029 (0.00029)	Accuracy 0.961 (0.961)
+2024-01-17 11:43:26,934 Test: [0/13]	Time 5.516 (5.516)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 11:43:38,272 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:43:38,272 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:43:38,272 | pose_hrnet | 1.295 | 0.842 | 1.366 | 0.521 | 0.389 | 0.712 | 0.911 | 0.853 | 0.028 |
+2024-01-17 11:43:38,275 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:43:45,912 Epoch: [82][0/80]	Time 5.201s (5.201s)	Speed 12.3 samples/s	Data 3.887s (3.887s)	Loss 0.00031 (0.00031)	Accuracy 0.947 (0.947)
+2024-01-17 11:45:33,815 Test: [0/13]	Time 5.722 (5.722)	Loss 0.0004 (0.0004)	Accuracy 0.905 (0.905)
+2024-01-17 11:45:45,167 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:45:45,167 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:45:45,167 | pose_hrnet | 1.684 | 0.777 | 1.301 | 0.846 | 0.583 | 0.712 | 0.716 | 0.936 | 0.037 |
+2024-01-17 11:45:45,171 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:45:53,487 Epoch: [83][0/80]	Time 5.421s (5.421s)	Speed 11.8 samples/s	Data 4.109s (4.109s)	Loss 0.00026 (0.00026)	Accuracy 0.972 (0.972)
+2024-01-17 11:47:41,044 Test: [0/13]	Time 5.449 (5.449)	Loss 0.0004 (0.0004)	Accuracy 0.890 (0.890)
+2024-01-17 11:47:52,452 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:47:52,452 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:47:52,452 | pose_hrnet | 1.166 | 0.518 | 1.171 | 0.846 | 0.648 | 1.036 | 1.042 | 0.899 | 0.037 |
+2024-01-17 11:47:52,456 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:48:00,650 Epoch: [84][0/80]	Time 5.474s (5.474s)	Speed 11.7 samples/s	Data 4.167s (4.167s)	Loss 0.00028 (0.00028)	Accuracy 0.962 (0.962)
+2024-01-17 11:49:47,962 Test: [0/13]	Time 5.338 (5.338)	Loss 0.0004 (0.0004)	Accuracy 0.894 (0.894)
+2024-01-17 11:49:59,310 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:49:59,310 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:49:59,310 | pose_hrnet | 0.907 | 0.972 | 0.976 | 0.846 | 0.712 | 0.777 | 0.651 | 0.844 | 0.037 |
+2024-01-17 11:49:59,313 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:50:07,350 Epoch: [85][0/80]	Time 5.536s (5.536s)	Speed 11.6 samples/s	Data 4.220s (4.220s)	Loss 0.00027 (0.00027)	Accuracy 0.959 (0.959)
+2024-01-17 11:51:54,822 Test: [0/13]	Time 5.365 (5.365)	Loss 0.0004 (0.0004)	Accuracy 0.893 (0.893)
+2024-01-17 11:52:06,477 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:52:06,477 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:52:06,477 | pose_hrnet | 1.295 | 0.712 | 1.301 | 0.846 | 0.712 | 0.712 | 0.977 | 0.936 | 0.046 |
+2024-01-17 11:52:06,481 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:52:15,333 Epoch: [86][0/80]	Time 5.698s (5.698s)	Speed 11.2 samples/s	Data 4.395s (4.395s)	Loss 0.00029 (0.00029)	Accuracy 0.951 (0.951)
+2024-01-17 11:54:02,655 Test: [0/13]	Time 5.307 (5.307)	Loss 0.0004 (0.0004)	Accuracy 0.887 (0.887)
+2024-01-17 11:54:14,020 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:54:14,020 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:54:14,020 | pose_hrnet | 1.295 | 0.842 | 1.106 | 0.586 | 1.101 | 0.907 | 0.716 | 0.936 | 0.046 |
+2024-01-17 11:54:14,024 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:54:22,329 Epoch: [87][0/80]	Time 5.737s (5.737s)	Speed 11.2 samples/s	Data 4.453s (4.453s)	Loss 0.00025 (0.00025)	Accuracy 0.966 (0.966)
+2024-01-17 11:56:09,244 Test: [0/13]	Time 5.168 (5.168)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 11:56:20,746 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:56:20,746 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:56:20,746 | pose_hrnet | 1.295 | 0.777 | 1.106 | 1.042 | 0.648 | 0.907 | 0.781 | 0.927 | 0.019 |
+2024-01-17 11:56:20,750 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:56:29,340 Epoch: [88][0/80]	Time 5.623s (5.623s)	Speed 11.4 samples/s	Data 4.310s (4.310s)	Loss 0.00032 (0.00032)	Accuracy 0.938 (0.938)
+2024-01-17 11:58:16,537 Test: [0/13]	Time 5.311 (5.311)	Loss 0.0004 (0.0004)	Accuracy 0.900 (0.900)
+2024-01-17 11:58:28,037 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 11:58:28,037 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 11:58:28,037 | pose_hrnet | 0.907 | 0.648 | 0.976 | 0.651 | 0.712 | 0.777 | 0.716 | 0.779 | 0.046 |
+2024-01-17 11:58:28,040 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 11:58:36,263 Epoch: [89][0/80]	Time 5.369s (5.369s)	Speed 11.9 samples/s	Data 4.051s (4.051s)	Loss 0.00030 (0.00030)	Accuracy 0.941 (0.941)
+2024-01-17 12:00:23,807 Test: [0/13]	Time 5.458 (5.458)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 12:00:35,058 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:00:35,058 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:00:35,058 | pose_hrnet | 1.036 | 0.907 | 1.496 | 0.911 | 0.777 | 1.036 | 0.911 | 1.020 | 0.037 |
+2024-01-17 12:00:35,061 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:00:44,805 Epoch: [90][0/80]	Time 5.426s (5.426s)	Speed 11.8 samples/s	Data 4.109s (4.109s)	Loss 0.00031 (0.00031)	Accuracy 0.946 (0.946)
+2024-01-17 12:02:32,369 Test: [0/13]	Time 5.638 (5.638)	Loss 0.0004 (0.0004)	Accuracy 0.894 (0.894)
+2024-01-17 12:02:43,940 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:02:43,940 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:02:43,940 | pose_hrnet | 1.813 | 0.583 | 1.236 | 0.781 | 0.777 | 0.972 | 0.651 | 0.936 | 0.037 |
+2024-01-17 12:02:43,943 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:02:52,520 Epoch: [91][0/80]	Time 5.621s (5.621s)	Speed 11.4 samples/s	Data 4.310s (4.310s)	Loss 0.00031 (0.00031)	Accuracy 0.947 (0.947)
+2024-01-17 12:04:39,852 Test: [0/13]	Time 5.362 (5.362)	Loss 0.0004 (0.0004)	Accuracy 0.902 (0.902)
+2024-01-17 12:04:51,475 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:04:51,475 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:04:51,475 | pose_hrnet | 0.907 | 0.648 | 1.106 | 0.846 | 0.712 | 0.648 | 0.781 | 0.807 | 0.028 |
+2024-01-17 12:04:51,479 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:05:00,388 Epoch: [92][0/80]	Time 5.851s (5.851s)	Speed 10.9 samples/s	Data 4.560s (4.560s)	Loss 0.00029 (0.00029)	Accuracy 0.932 (0.932)
+2024-01-17 12:06:48,072 Test: [0/13]	Time 5.621 (5.621)	Loss 0.0004 (0.0004)	Accuracy 0.893 (0.893)
+2024-01-17 12:06:59,790 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:06:59,790 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:06:59,790 | pose_hrnet | 1.036 | 0.648 | 0.911 | 0.651 | 0.453 | 0.842 | 0.586 | 0.686 | 0.009 |
+2024-01-17 12:06:59,793 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:07:08,352 Epoch: [93][0/80]	Time 5.495s (5.495s)	Speed 11.6 samples/s	Data 4.209s (4.209s)	Loss 0.00027 (0.00027)	Accuracy 0.955 (0.955)
+2024-01-17 12:08:56,044 Test: [0/13]	Time 5.412 (5.412)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 12:09:07,523 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:09:07,523 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:09:07,523 | pose_hrnet | 1.166 | 0.583 | 0.976 | 0.586 | 0.583 | 0.907 | 0.846 | 0.797 | 0.019 |
+2024-01-17 12:09:07,527 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:09:15,968 Epoch: [94][0/80]	Time 5.654s (5.654s)	Speed 11.3 samples/s	Data 4.352s (4.352s)	Loss 0.00032 (0.00032)	Accuracy 0.947 (0.947)
+2024-01-17 12:11:03,149 Test: [0/13]	Time 5.200 (5.200)	Loss 0.0004 (0.0004)	Accuracy 0.885 (0.885)
+2024-01-17 12:11:14,901 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:11:14,901 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:11:14,902 | pose_hrnet | 0.777 | 0.648 | 1.106 | 0.586 | 0.453 | 0.842 | 0.911 | 0.779 | 0.028 |
+2024-01-17 12:11:14,905 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:11:23,073 Epoch: [95][0/80]	Time 5.408s (5.408s)	Speed 11.8 samples/s	Data 4.115s (4.115s)	Loss 0.00028 (0.00028)	Accuracy 0.953 (0.953)
+2024-01-17 12:13:10,471 Test: [0/13]	Time 5.368 (5.368)	Loss 0.0004 (0.0004)	Accuracy 0.887 (0.887)
+2024-01-17 12:13:22,231 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:13:22,231 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:13:22,231 | pose_hrnet | 1.425 | 0.583 | 1.301 | 0.716 | 0.389 | 1.036 | 0.521 | 0.825 | 0.019 |
+2024-01-17 12:13:22,235 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:13:31,295 Epoch: [96][0/80]	Time 5.564s (5.564s)	Speed 11.5 samples/s	Data 4.249s (4.249s)	Loss 0.00028 (0.00028)	Accuracy 0.955 (0.955)
+2024-01-17 12:15:18,986 Test: [0/13]	Time 5.465 (5.465)	Loss 0.0004 (0.0004)	Accuracy 0.901 (0.901)
+2024-01-17 12:15:30,578 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:15:30,579 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:15:30,579 | pose_hrnet | 1.295 | 0.712 | 1.171 | 1.042 | 0.518 | 0.712 | 0.651 | 0.844 | 0.037 |
+2024-01-17 12:15:30,582 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:15:39,691 Epoch: [97][0/80]	Time 5.812s (5.812s)	Speed 11.0 samples/s	Data 4.520s (4.520s)	Loss 0.00028 (0.00028)	Accuracy 0.954 (0.954)
+2024-01-17 12:17:26,867 Test: [0/13]	Time 5.304 (5.304)	Loss 0.0004 (0.0004)	Accuracy 0.902 (0.902)
+2024-01-17 12:17:38,270 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:17:38,270 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:17:38,270 | pose_hrnet | 1.036 | 0.777 | 1.041 | 0.846 | 0.648 | 0.842 | 0.586 | 0.881 | 0.028 |
+2024-01-17 12:17:38,274 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:17:46,496 Epoch: [98][0/80]	Time 5.343s (5.343s)	Speed 12.0 samples/s	Data 4.043s (4.043s)	Loss 0.00027 (0.00027)	Accuracy 0.963 (0.963)
+2024-01-17 12:19:33,644 Test: [0/13]	Time 4.991 (4.991)	Loss 0.0004 (0.0004)	Accuracy 0.907 (0.907)
+2024-01-17 12:19:45,269 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:19:45,269 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:19:45,269 | pose_hrnet | 1.425 | 0.777 | 1.106 | 0.781 | 0.842 | 1.166 | 0.781 | 0.936 | 0.028 |
+2024-01-17 12:19:45,273 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:19:54,584 Epoch: [99][0/80]	Time 5.753s (5.753s)	Speed 11.1 samples/s	Data 4.468s (4.468s)	Loss 0.00027 (0.00027)	Accuracy 0.955 (0.955)
+2024-01-17 12:21:41,755 Test: [0/13]	Time 5.381 (5.381)	Loss 0.0004 (0.0004)	Accuracy 0.900 (0.900)
+2024-01-17 12:21:53,133 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:21:53,133 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:21:53,133 | pose_hrnet | 1.684 | 0.712 | 0.911 | 0.586 | 0.518 | 0.907 | 0.977 | 0.862 | 0.019 |
+2024-01-17 12:21:53,136 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:22:00,983 Epoch: [100][0/80]	Time 5.316s (5.316s)	Speed 12.0 samples/s	Data 4.013s (4.013s)	Loss 0.00028 (0.00028)	Accuracy 0.957 (0.957)
+2024-01-17 12:23:48,891 Test: [0/13]	Time 5.450 (5.450)	Loss 0.0004 (0.0004)	Accuracy 0.883 (0.883)
+2024-01-17 12:24:00,454 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:24:00,454 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:24:00,455 | pose_hrnet | 1.684 | 0.648 | 1.041 | 0.586 | 0.583 | 0.907 | 0.846 | 0.872 | 0.028 |
+2024-01-17 12:24:00,458 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:24:08,771 Epoch: [101][0/80]	Time 5.564s (5.564s)	Speed 11.5 samples/s	Data 4.249s (4.249s)	Loss 0.00026 (0.00026)	Accuracy 0.974 (0.974)
+2024-01-17 12:25:56,095 Test: [0/13]	Time 5.530 (5.530)	Loss 0.0004 (0.0004)	Accuracy 0.893 (0.893)
+2024-01-17 12:26:07,363 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:26:07,363 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:26:07,363 | pose_hrnet | 1.684 | 0.842 | 0.976 | 0.651 | 0.712 | 0.907 | 0.846 | 0.909 | 0.037 |
+2024-01-17 12:26:07,366 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:26:15,711 Epoch: [102][0/80]	Time 5.525s (5.525s)	Speed 11.6 samples/s	Data 4.217s (4.217s)	Loss 0.00024 (0.00024)	Accuracy 0.980 (0.980)
+2024-01-17 12:28:03,305 Test: [0/13]	Time 5.393 (5.393)	Loss 0.0004 (0.0004)	Accuracy 0.892 (0.892)
+2024-01-17 12:28:15,057 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:28:15,057 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:28:15,057 | pose_hrnet | 1.425 | 0.518 | 1.171 | 0.781 | 0.712 | 0.518 | 0.781 | 0.825 | 0.028 |
+2024-01-17 12:28:15,060 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:28:23,904 Epoch: [103][0/80]	Time 5.658s (5.658s)	Speed 11.3 samples/s	Data 4.346s (4.346s)	Loss 0.00026 (0.00026)	Accuracy 0.963 (0.963)
+2024-01-17 12:30:11,470 Test: [0/13]	Time 5.722 (5.722)	Loss 0.0004 (0.0004)	Accuracy 0.890 (0.890)
+2024-01-17 12:30:22,904 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:30:22,904 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:30:22,904 | pose_hrnet | 1.166 | 0.712 | 1.041 | 0.911 | 0.453 | 1.101 | 0.716 | 0.872 | 0.056 |
+2024-01-17 12:30:22,907 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:30:31,526 Epoch: [104][0/80]	Time 5.888s (5.888s)	Speed 10.9 samples/s	Data 4.602s (4.602s)	Loss 0.00031 (0.00031)	Accuracy 0.944 (0.944)
+2024-01-17 12:32:18,385 Test: [0/13]	Time 5.314 (5.314)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 12:32:29,997 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:32:29,997 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:32:29,997 | pose_hrnet | 0.907 | 0.583 | 1.106 | 0.586 | 0.777 | 0.842 | 0.911 | 0.844 | 0.046 |
+2024-01-17 12:32:30,000 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:32:38,424 Epoch: [105][0/80]	Time 5.703s (5.703s)	Speed 11.2 samples/s	Data 4.408s (4.408s)	Loss 0.00026 (0.00026)	Accuracy 0.961 (0.961)
+2024-01-17 12:34:25,720 Test: [0/13]	Time 5.248 (5.248)	Loss 0.0004 (0.0004)	Accuracy 0.890 (0.890)
+2024-01-17 12:34:36,848 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:34:36,848 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:34:36,848 | pose_hrnet | 1.554 | 0.453 | 1.301 | 0.911 | 0.648 | 0.777 | 0.911 | 0.918 | 0.046 |
+2024-01-17 12:34:36,855 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:34:45,111 Epoch: [106][0/80]	Time 5.257s (5.257s)	Speed 12.2 samples/s	Data 3.946s (3.946s)	Loss 0.00025 (0.00025)	Accuracy 0.977 (0.977)
+2024-01-17 12:36:32,728 Test: [0/13]	Time 5.499 (5.499)	Loss 0.0004 (0.0004)	Accuracy 0.901 (0.901)
+2024-01-17 12:36:44,451 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:36:44,451 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:36:44,451 | pose_hrnet | 1.554 | 0.583 | 1.171 | 0.781 | 0.648 | 1.036 | 1.042 | 0.918 | 0.056 |
+2024-01-17 12:36:44,454 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:36:52,989 Epoch: [107][0/80]	Time 5.642s (5.642s)	Speed 11.3 samples/s	Data 4.331s (4.331s)	Loss 0.00026 (0.00026)	Accuracy 0.967 (0.967)
+2024-01-17 12:38:40,663 Test: [0/13]	Time 5.601 (5.601)	Loss 0.0004 (0.0004)	Accuracy 0.890 (0.890)
+2024-01-17 12:38:52,165 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:38:52,165 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:38:52,165 | pose_hrnet | 1.554 | 0.518 | 1.041 | 0.781 | 0.777 | 0.648 | 0.846 | 0.862 | 0.046 |
+2024-01-17 12:38:52,169 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:39:00,900 Epoch: [108][0/80]	Time 5.910s (5.910s)	Speed 10.8 samples/s	Data 4.617s (4.617s)	Loss 0.00026 (0.00026)	Accuracy 0.954 (0.954)
+2024-01-17 12:40:48,284 Test: [0/13]	Time 5.657 (5.657)	Loss 0.0004 (0.0004)	Accuracy 0.890 (0.890)
+2024-01-17 12:40:59,727 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:40:59,727 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:40:59,727 | pose_hrnet | 0.777 | 0.712 | 0.976 | 0.651 | 0.389 | 1.036 | 1.042 | 0.825 | 0.056 |
+2024-01-17 12:40:59,731 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:41:08,149 Epoch: [109][0/80]	Time 5.717s (5.717s)	Speed 11.2 samples/s	Data 4.412s (4.412s)	Loss 0.00028 (0.00028)	Accuracy 0.960 (0.960)
+2024-01-17 12:42:55,558 Test: [0/13]	Time 5.595 (5.595)	Loss 0.0004 (0.0004)	Accuracy 0.889 (0.889)
+2024-01-17 12:43:06,840 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:43:06,840 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:43:06,840 | pose_hrnet | 1.166 | 0.518 | 0.976 | 0.781 | 0.583 | 0.842 | 1.107 | 0.881 | 0.056 |
+2024-01-17 12:43:06,843 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:43:15,732 Epoch: [110][0/80]	Time 5.925s (5.925s)	Speed 10.8 samples/s	Data 4.626s (4.626s)	Loss 0.00027 (0.00027)	Accuracy 0.962 (0.962)
+2024-01-17 12:45:02,978 Test: [0/13]	Time 5.360 (5.360)	Loss 0.0004 (0.0004)	Accuracy 0.887 (0.887)
+2024-01-17 12:45:14,483 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:45:14,483 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:45:14,483 | pose_hrnet | 1.554 | 0.648 | 1.041 | 0.716 | 0.712 | 0.907 | 1.367 | 0.974 | 0.074 |
+2024-01-17 12:45:14,487 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:45:23,224 Epoch: [111][0/80]	Time 5.588s (5.588s)	Speed 11.5 samples/s	Data 4.273s (4.273s)	Loss 0.00026 (0.00026)	Accuracy 0.958 (0.958)
+2024-01-17 12:47:10,600 Test: [0/13]	Time 5.429 (5.429)	Loss 0.0004 (0.0004)	Accuracy 0.890 (0.890)
+2024-01-17 12:47:22,155 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:47:22,155 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:47:22,156 | pose_hrnet | 1.554 | 0.518 | 1.106 | 0.716 | 0.712 | 1.360 | 0.846 | 0.927 | 0.065 |
+2024-01-17 12:47:22,159 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:47:30,761 Epoch: [112][0/80]	Time 5.860s (5.860s)	Speed 10.9 samples/s	Data 4.545s (4.545s)	Loss 0.00025 (0.00025)	Accuracy 0.969 (0.969)
+2024-01-17 12:49:17,912 Test: [0/13]	Time 5.265 (5.265)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 12:49:29,510 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:49:29,511 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:49:29,511 | pose_hrnet | 1.295 | 0.648 | 1.171 | 0.586 | 0.583 | 1.166 | 0.781 | 0.872 | 0.056 |
+2024-01-17 12:49:29,514 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:49:37,873 Epoch: [113][0/80]	Time 5.409s (5.409s)	Speed 11.8 samples/s	Data 4.101s (4.101s)	Loss 0.00025 (0.00025)	Accuracy 0.960 (0.960)
+2024-01-17 12:51:25,484 Test: [0/13]	Time 5.452 (5.452)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 12:51:36,982 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:51:36,982 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:51:36,982 | pose_hrnet | 0.648 | 0.777 | 0.781 | 0.781 | 0.389 | 0.712 | 0.911 | 0.742 | 0.056 |
+2024-01-17 12:51:36,986 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:51:45,678 Epoch: [114][0/80]	Time 5.459s (5.459s)	Speed 11.7 samples/s	Data 4.157s (4.157s)	Loss 0.00024 (0.00024)	Accuracy 0.959 (0.959)
+2024-01-17 12:53:33,435 Test: [0/13]	Time 5.574 (5.574)	Loss 0.0004 (0.0004)	Accuracy 0.905 (0.905)
+2024-01-17 12:53:44,876 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:53:44,876 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:53:44,876 | pose_hrnet | 1.166 | 0.777 | 1.171 | 0.716 | 0.648 | 0.648 | 1.107 | 0.890 | 0.093 |
+2024-01-17 12:53:44,879 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:53:53,905 Epoch: [115][0/80]	Time 6.217s (6.217s)	Speed 10.3 samples/s	Data 4.925s (4.925s)	Loss 0.00025 (0.00025)	Accuracy 0.963 (0.963)
+2024-01-17 12:55:40,796 Test: [0/13]	Time 5.308 (5.308)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 12:55:52,528 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:55:52,528 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:55:52,528 | pose_hrnet | 1.425 | 0.583 | 1.041 | 0.651 | 0.712 | 0.907 | 1.432 | 0.936 | 0.046 |
+2024-01-17 12:55:52,531 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:56:01,387 Epoch: [116][0/80]	Time 5.514s (5.514s)	Speed 11.6 samples/s	Data 4.227s (4.227s)	Loss 0.00029 (0.00029)	Accuracy 0.959 (0.959)
+2024-01-17 12:57:48,878 Test: [0/13]	Time 5.539 (5.539)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 12:58:00,079 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 12:58:00,079 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 12:58:00,079 | pose_hrnet | 1.036 | 0.972 | 0.651 | 0.651 | 0.518 | 1.036 | 1.172 | 0.872 | 0.056 |
+2024-01-17 12:58:00,082 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 12:58:08,275 Epoch: [117][0/80]	Time 5.417s (5.417s)	Speed 11.8 samples/s	Data 4.120s (4.120s)	Loss 0.00025 (0.00025)	Accuracy 0.958 (0.958)
+2024-01-17 12:59:55,814 Test: [0/13]	Time 5.453 (5.453)	Loss 0.0004 (0.0004)	Accuracy 0.893 (0.893)
+2024-01-17 13:00:07,572 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:00:07,572 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:00:07,572 | pose_hrnet | 1.166 | 0.389 | 1.171 | 0.846 | 0.842 | 0.777 | 0.846 | 0.890 | 0.074 |
+2024-01-17 13:00:07,576 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:00:15,972 Epoch: [118][0/80]	Time 5.476s (5.476s)	Speed 11.7 samples/s	Data 4.160s (4.160s)	Loss 0.00026 (0.00026)	Accuracy 0.961 (0.961)
+2024-01-17 13:02:03,731 Test: [0/13]	Time 5.535 (5.535)	Loss 0.0004 (0.0004)	Accuracy 0.888 (0.888)
+2024-01-17 13:02:15,289 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:02:15,289 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:02:15,289 | pose_hrnet | 1.684 | 0.842 | 0.976 | 0.716 | 0.907 | 1.101 | 1.042 | 0.964 | 0.074 |
+2024-01-17 13:02:15,292 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:02:23,923 Epoch: [119][0/80]	Time 5.660s (5.660s)	Speed 11.3 samples/s	Data 4.343s (4.343s)	Loss 0.00027 (0.00027)	Accuracy 0.970 (0.970)
+2024-01-17 13:04:11,217 Test: [0/13]	Time 5.400 (5.400)	Loss 0.0004 (0.0004)	Accuracy 0.890 (0.890)
+2024-01-17 13:04:22,437 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:04:22,438 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:04:22,438 | pose_hrnet | 1.425 | 0.648 | 1.106 | 0.651 | 0.583 | 0.777 | 1.107 | 0.890 | 0.056 |
+2024-01-17 13:04:22,441 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:04:30,844 Epoch: [120][0/80]	Time 5.623s (5.623s)	Speed 11.4 samples/s	Data 4.312s (4.312s)	Loss 0.00027 (0.00027)	Accuracy 0.972 (0.972)
+2024-01-17 13:06:18,594 Test: [0/13]	Time 5.716 (5.716)	Loss 0.0004 (0.0004)	Accuracy 0.891 (0.891)
+2024-01-17 13:06:30,068 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:06:30,068 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:06:30,068 | pose_hrnet | 1.036 | 0.777 | 1.041 | 0.846 | 0.712 | 0.712 | 0.716 | 0.853 | 0.083 |
+2024-01-17 13:06:30,071 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:06:39,266 Epoch: [121][0/80]	Time 5.577s (5.577s)	Speed 11.5 samples/s	Data 4.282s (4.282s)	Loss 0.00027 (0.00027)	Accuracy 0.952 (0.952)
+2024-01-17 13:08:26,984 Test: [0/13]	Time 5.505 (5.505)	Loss 0.0004 (0.0004)	Accuracy 0.881 (0.881)
+2024-01-17 13:08:38,439 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:08:38,439 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:08:38,439 | pose_hrnet | 0.907 | 0.907 | 1.626 | 0.911 | 0.453 | 1.101 | 0.651 | 0.946 | 0.056 |
+2024-01-17 13:08:38,442 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:08:46,884 Epoch: [122][0/80]	Time 5.609s (5.609s)	Speed 11.4 samples/s	Data 4.316s (4.316s)	Loss 0.00026 (0.00026)	Accuracy 0.972 (0.972)
+2024-01-17 13:10:34,680 Test: [0/13]	Time 5.777 (5.777)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 13:10:45,875 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:10:45,876 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:10:45,876 | pose_hrnet | 1.684 | 0.777 | 1.301 | 0.456 | 0.194 | 1.101 | 0.846 | 0.862 | 0.046 |
+2024-01-17 13:10:45,879 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:10:54,301 Epoch: [123][0/80]	Time 5.727s (5.727s)	Speed 11.2 samples/s	Data 4.422s (4.422s)	Loss 0.00025 (0.00025)	Accuracy 0.972 (0.972)
+2024-01-17 13:12:41,552 Test: [0/13]	Time 5.422 (5.422)	Loss 0.0004 (0.0004)	Accuracy 0.903 (0.903)
+2024-01-17 13:12:52,790 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:12:52,790 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:12:52,790 | pose_hrnet | 1.554 | 0.777 | 1.041 | 1.172 | 0.583 | 1.166 | 1.042 | 1.029 | 0.074 |
+2024-01-17 13:12:52,793 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:13:02,596 Epoch: [124][0/80]	Time 5.587s (5.587s)	Speed 11.5 samples/s	Data 4.278s (4.278s)	Loss 0.00024 (0.00024)	Accuracy 0.944 (0.944)
+2024-01-17 13:14:50,293 Test: [0/13]	Time 5.587 (5.587)	Loss 0.0004 (0.0004)	Accuracy 0.880 (0.880)
+2024-01-17 13:15:01,577 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:15:01,577 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:15:01,577 | pose_hrnet | 1.425 | 0.712 | 0.976 | 1.042 | 0.777 | 1.166 | 0.781 | 0.983 | 0.056 |
+2024-01-17 13:15:01,580 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:15:10,038 Epoch: [125][0/80]	Time 5.660s (5.660s)	Speed 11.3 samples/s	Data 4.376s (4.376s)	Loss 0.00025 (0.00025)	Accuracy 0.972 (0.972)
+2024-01-17 13:16:57,931 Test: [0/13]	Time 5.827 (5.827)	Loss 0.0004 (0.0004)	Accuracy 0.900 (0.900)
+2024-01-17 13:17:09,054 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:17:09,054 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:17:09,054 | pose_hrnet | 1.425 | 0.712 | 1.041 | 0.846 | 0.324 | 1.231 | 1.367 | 0.974 | 0.056 |
+2024-01-17 13:17:09,058 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:17:17,331 Epoch: [126][0/80]	Time 5.426s (5.426s)	Speed 11.8 samples/s	Data 4.124s (4.124s)	Loss 0.00026 (0.00026)	Accuracy 0.961 (0.961)
+2024-01-17 13:19:04,989 Test: [0/13]	Time 5.575 (5.575)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 13:19:16,387 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:19:16,387 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:19:16,387 | pose_hrnet | 1.554 | 0.842 | 0.650 | 0.781 | 0.648 | 1.036 | 1.302 | 0.964 | 0.056 |
+2024-01-17 13:19:16,390 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:19:24,631 Epoch: [127][0/80]	Time 5.460s (5.460s)	Speed 11.7 samples/s	Data 4.143s (4.143s)	Loss 0.00023 (0.00023)	Accuracy 0.980 (0.980)
+2024-01-17 13:21:12,131 Test: [0/13]	Time 5.286 (5.286)	Loss 0.0004 (0.0004)	Accuracy 0.891 (0.891)
+2024-01-17 13:21:23,772 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:21:23,772 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:21:23,772 | pose_hrnet | 0.907 | 0.583 | 1.106 | 0.846 | 0.583 | 1.036 | 0.781 | 0.853 | 0.065 |
+2024-01-17 13:21:23,776 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:21:32,274 Epoch: [128][0/80]	Time 5.518s (5.518s)	Speed 11.6 samples/s	Data 4.234s (4.234s)	Loss 0.00026 (0.00026)	Accuracy 0.959 (0.959)
+2024-01-17 13:23:19,771 Test: [0/13]	Time 5.481 (5.481)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 13:23:31,334 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:23:31,334 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:23:31,334 | pose_hrnet | 1.425 | 0.712 | 1.171 | 0.781 | 0.648 | 0.972 | 1.042 | 0.936 | 0.065 |
+2024-01-17 13:23:31,338 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:23:39,563 Epoch: [129][0/80]	Time 5.435s (5.435s)	Speed 11.8 samples/s	Data 4.123s (4.123s)	Loss 0.00024 (0.00024)	Accuracy 0.970 (0.970)
+2024-01-17 13:25:26,849 Test: [0/13]	Time 5.273 (5.273)	Loss 0.0004 (0.0004)	Accuracy 0.894 (0.894)
+2024-01-17 13:25:38,514 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:25:38,514 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:25:38,514 | pose_hrnet | 1.425 | 0.777 | 1.366 | 0.651 | 0.712 | 0.972 | 1.107 | 0.983 | 0.046 |
+2024-01-17 13:25:38,517 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:25:47,447 Epoch: [130][0/80]	Time 5.703s (5.703s)	Speed 11.2 samples/s	Data 4.396s (4.396s)	Loss 0.00028 (0.00028)	Accuracy 0.955 (0.955)
+2024-01-17 13:27:34,563 Test: [0/13]	Time 5.410 (5.410)	Loss 0.0004 (0.0004)	Accuracy 0.900 (0.900)
+2024-01-17 13:27:45,963 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:27:45,963 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:27:45,963 | pose_hrnet | 1.554 | 0.648 | 0.781 | 0.651 | 0.648 | 0.972 | 0.911 | 0.825 | 0.028 |
+2024-01-17 13:27:45,967 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:27:54,096 Epoch: [131][0/80]	Time 5.328s (5.328s)	Speed 12.0 samples/s	Data 4.038s (4.038s)	Loss 0.00023 (0.00023)	Accuracy 0.977 (0.977)
+2024-01-17 13:29:41,530 Test: [0/13]	Time 5.196 (5.196)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 13:29:52,888 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:29:52,888 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:29:52,888 | pose_hrnet | 1.684 | 0.389 | 1.041 | 0.716 | 0.453 | 0.842 | 1.042 | 0.834 | 0.046 |
+2024-01-17 13:29:52,891 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:30:01,752 Epoch: [132][0/80]	Time 5.777s (5.777s)	Speed 11.1 samples/s	Data 4.463s (4.463s)	Loss 0.00024 (0.00024)	Accuracy 0.975 (0.975)
+2024-01-17 13:31:49,402 Test: [0/13]	Time 5.794 (5.794)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 13:32:00,642 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:32:00,642 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:32:00,642 | pose_hrnet | 1.166 | 0.842 | 0.911 | 0.716 | 0.389 | 0.842 | 0.977 | 0.825 | 0.065 |
+2024-01-17 13:32:00,645 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:32:09,636 Epoch: [133][0/80]	Time 5.671s (5.671s)	Speed 11.3 samples/s	Data 4.372s (4.372s)	Loss 0.00025 (0.00025)	Accuracy 0.975 (0.975)
+2024-01-17 13:33:57,275 Test: [0/13]	Time 5.740 (5.740)	Loss 0.0004 (0.0004)	Accuracy 0.884 (0.884)
+2024-01-17 13:34:08,677 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:34:08,677 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:34:08,677 | pose_hrnet | 1.166 | 0.453 | 0.976 | 0.586 | 0.518 | 1.101 | 1.042 | 0.844 | 0.056 |
+2024-01-17 13:34:08,681 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:34:16,961 Epoch: [134][0/80]	Time 5.388s (5.388s)	Speed 11.9 samples/s	Data 4.093s (4.093s)	Loss 0.00026 (0.00026)	Accuracy 0.955 (0.955)
+2024-01-17 13:36:04,579 Test: [0/13]	Time 5.435 (5.435)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 13:36:16,348 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:36:16,348 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:36:16,348 | pose_hrnet | 1.684 | 0.583 | 1.366 | 0.911 | 0.583 | 1.166 | 0.911 | 0.992 | 0.074 |
+2024-01-17 13:36:16,352 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:36:25,511 Epoch: [135][0/80]	Time 5.503s (5.503s)	Speed 11.6 samples/s	Data 4.196s (4.196s)	Loss 0.00024 (0.00024)	Accuracy 0.965 (0.965)
+2024-01-17 13:38:12,898 Test: [0/13]	Time 5.418 (5.418)	Loss 0.0004 (0.0004)	Accuracy 0.891 (0.891)
+2024-01-17 13:38:24,224 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:38:24,224 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:38:24,224 | pose_hrnet | 1.425 | 0.648 | 1.106 | 0.846 | 0.842 | 1.360 | 1.432 | 1.103 | 0.056 |
+2024-01-17 13:38:24,228 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:38:34,495 Epoch: [136][0/80]	Time 5.564s (5.564s)	Speed 11.5 samples/s	Data 4.255s (4.255s)	Loss 0.00020 (0.00020)	Accuracy 0.978 (0.978)
+2024-01-17 13:40:22,020 Test: [0/13]	Time 5.481 (5.481)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 13:40:33,501 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:40:33,501 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:40:33,501 | pose_hrnet | 1.166 | 0.777 | 1.041 | 0.781 | 0.712 | 1.036 | 0.911 | 0.946 | 0.037 |
+2024-01-17 13:40:33,505 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:40:41,669 Epoch: [137][0/80]	Time 5.462s (5.462s)	Speed 11.7 samples/s	Data 4.157s (4.157s)	Loss 0.00026 (0.00026)	Accuracy 0.954 (0.954)
+2024-01-17 13:42:29,200 Test: [0/13]	Time 5.494 (5.494)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 13:42:40,718 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:42:40,719 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:42:40,719 | pose_hrnet | 1.166 | 0.777 | 1.236 | 1.042 | 0.583 | 0.972 | 0.977 | 0.964 | 0.056 |
+2024-01-17 13:42:40,722 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:42:49,064 Epoch: [138][0/80]	Time 5.343s (5.343s)	Speed 12.0 samples/s	Data 4.052s (4.052s)	Loss 0.00027 (0.00027)	Accuracy 0.949 (0.949)
+2024-01-17 13:44:36,602 Test: [0/13]	Time 5.357 (5.357)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 13:44:48,190 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:44:48,190 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:44:48,190 | pose_hrnet | 1.554 | 0.777 | 1.236 | 0.586 | 0.324 | 0.842 | 1.107 | 0.918 | 0.056 |
+2024-01-17 13:44:48,194 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:44:56,511 Epoch: [139][0/80]	Time 5.742s (5.742s)	Speed 11.1 samples/s	Data 4.422s (4.422s)	Loss 0.00026 (0.00026)	Accuracy 0.946 (0.946)
+2024-01-17 13:46:43,835 Test: [0/13]	Time 5.539 (5.539)	Loss 0.0004 (0.0004)	Accuracy 0.904 (0.904)
+2024-01-17 13:46:55,366 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:46:55,366 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:46:55,366 | pose_hrnet | 1.295 | 0.583 | 0.716 | 0.521 | 0.389 | 1.036 | 1.172 | 0.816 | 0.037 |
+2024-01-17 13:46:55,369 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:47:03,971 Epoch: [140][0/80]	Time 5.604s (5.604s)	Speed 11.4 samples/s	Data 4.320s (4.320s)	Loss 0.00026 (0.00026)	Accuracy 0.970 (0.970)
+2024-01-17 13:48:51,013 Test: [0/13]	Time 5.286 (5.286)	Loss 0.0004 (0.0004)	Accuracy 0.906 (0.906)
+2024-01-17 13:49:02,598 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:49:02,598 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:49:02,598 | pose_hrnet | 1.684 | 0.583 | 1.106 | 0.521 | 0.777 | 0.712 | 1.172 | 0.890 | 0.065 |
+2024-01-17 13:49:02,602 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:49:10,879 Epoch: [141][0/80]	Time 5.478s (5.478s)	Speed 11.7 samples/s	Data 4.188s (4.188s)	Loss 0.00023 (0.00023)	Accuracy 0.979 (0.979)
+2024-01-17 13:50:58,373 Test: [0/13]	Time 5.284 (5.284)	Loss 0.0004 (0.0004)	Accuracy 0.903 (0.903)
+2024-01-17 13:51:09,845 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:51:09,845 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:51:09,845 | pose_hrnet | 1.295 | 0.712 | 1.106 | 0.781 | 0.712 | 1.231 | 0.977 | 0.964 | 0.046 |
+2024-01-17 13:51:09,849 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:51:18,781 Epoch: [142][0/80]	Time 5.709s (5.709s)	Speed 11.2 samples/s	Data 4.406s (4.406s)	Loss 0.00024 (0.00024)	Accuracy 0.967 (0.967)
+2024-01-17 13:53:06,170 Test: [0/13]	Time 5.495 (5.495)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 13:53:17,554 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:53:17,554 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:53:17,554 | pose_hrnet | 1.684 | 0.842 | 0.911 | 0.846 | 0.259 | 1.166 | 1.172 | 0.927 | 0.046 |
+2024-01-17 13:53:17,557 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:53:26,181 Epoch: [143][0/80]	Time 5.755s (5.755s)	Speed 11.1 samples/s	Data 4.466s (4.466s)	Loss 0.00025 (0.00025)	Accuracy 0.978 (0.978)
+2024-01-17 13:55:12,792 Test: [0/13]	Time 4.855 (4.855)	Loss 0.0004 (0.0004)	Accuracy 0.902 (0.902)
+2024-01-17 13:55:24,845 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:55:24,845 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:55:24,845 | pose_hrnet | 0.907 | 0.518 | 0.911 | 0.586 | 0.648 | 0.842 | 0.846 | 0.779 | 0.028 |
+2024-01-17 13:55:24,849 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:55:33,427 Epoch: [144][0/80]	Time 5.706s (5.706s)	Speed 11.2 samples/s	Data 4.400s (4.400s)	Loss 0.00024 (0.00024)	Accuracy 0.968 (0.968)
+2024-01-17 13:57:20,604 Test: [0/13]	Time 5.374 (5.374)	Loss 0.0004 (0.0004)	Accuracy 0.902 (0.902)
+2024-01-17 13:57:32,325 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:57:32,325 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:57:32,325 | pose_hrnet | 1.684 | 0.518 | 1.041 | 0.781 | 0.842 | 0.648 | 0.977 | 0.862 | 0.037 |
+2024-01-17 13:57:32,328 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:57:40,983 Epoch: [145][0/80]	Time 5.844s (5.844s)	Speed 11.0 samples/s	Data 4.546s (4.546s)	Loss 0.00025 (0.00025)	Accuracy 0.964 (0.964)
+2024-01-17 13:59:27,889 Test: [0/13]	Time 4.990 (4.990)	Loss 0.0004 (0.0004)	Accuracy 0.907 (0.907)
+2024-01-17 13:59:39,446 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 13:59:39,446 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 13:59:39,446 | pose_hrnet | 1.295 | 0.777 | 1.106 | 0.977 | 0.324 | 1.036 | 1.107 | 0.918 | 0.046 |
+2024-01-17 13:59:39,449 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 13:59:48,274 Epoch: [146][0/80]	Time 5.814s (5.814s)	Speed 11.0 samples/s	Data 4.502s (4.502s)	Loss 0.00021 (0.00021)	Accuracy 0.978 (0.978)
+2024-01-17 14:01:35,601 Test: [0/13]	Time 5.458 (5.458)	Loss 0.0004 (0.0004)	Accuracy 0.899 (0.899)
+2024-01-17 14:01:46,902 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:01:46,902 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:01:46,902 | pose_hrnet | 1.036 | 0.712 | 1.431 | 0.586 | 0.583 | 1.166 | 0.911 | 0.927 | 0.065 |
+2024-01-17 14:01:46,906 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:01:55,229 Epoch: [147][0/80]	Time 5.551s (5.551s)	Speed 11.5 samples/s	Data 4.237s (4.237s)	Loss 0.00026 (0.00026)	Accuracy 0.963 (0.963)
+2024-01-17 14:03:42,964 Test: [0/13]	Time 5.615 (5.615)	Loss 0.0004 (0.0004)	Accuracy 0.907 (0.907)
+2024-01-17 14:03:54,446 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:03:54,446 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:03:54,446 | pose_hrnet | 1.036 | 0.842 | 0.976 | 0.651 | 0.842 | 0.842 | 0.716 | 0.862 | 0.037 |
+2024-01-17 14:03:54,450 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:04:03,313 Epoch: [148][0/80]	Time 5.627s (5.627s)	Speed 11.4 samples/s	Data 4.329s (4.329s)	Loss 0.00023 (0.00023)	Accuracy 0.973 (0.973)
+2024-01-17 14:05:50,614 Test: [0/13]	Time 5.462 (5.462)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 14:06:02,203 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:06:02,203 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:06:02,203 | pose_hrnet | 1.813 | 0.583 | 0.911 | 0.846 | 0.842 | 0.648 | 0.977 | 0.872 | 0.028 |
+2024-01-17 14:06:02,206 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:06:10,533 Epoch: [149][0/80]	Time 5.725s (5.725s)	Speed 11.2 samples/s	Data 4.413s (4.413s)	Loss 0.00023 (0.00023)	Accuracy 0.976 (0.976)
+2024-01-17 14:07:58,154 Test: [0/13]	Time 5.604 (5.604)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 14:08:09,533 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:08:09,533 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:08:09,533 | pose_hrnet | 1.425 | 0.583 | 0.911 | 0.521 | 0.583 | 1.101 | 0.911 | 0.825 | 0.056 |
+2024-01-17 14:08:09,537 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:08:17,930 Epoch: [150][0/80]	Time 5.716s (5.716s)	Speed 11.2 samples/s	Data 4.417s (4.417s)	Loss 0.00027 (0.00027)	Accuracy 0.975 (0.975)
+2024-01-17 14:10:05,317 Test: [0/13]	Time 5.228 (5.228)	Loss 0.0004 (0.0004)	Accuracy 0.892 (0.892)
+2024-01-17 14:10:16,946 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:10:16,946 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:10:16,946 | pose_hrnet | 1.554 | 0.842 | 0.911 | 0.651 | 0.453 | 1.101 | 0.586 | 0.834 | 0.028 |
+2024-01-17 14:10:16,949 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:10:25,153 Epoch: [151][0/80]	Time 5.438s (5.438s)	Speed 11.8 samples/s	Data 4.144s (4.144s)	Loss 0.00023 (0.00023)	Accuracy 0.981 (0.981)
+2024-01-17 14:12:12,779 Test: [0/13]	Time 5.671 (5.671)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 14:12:24,194 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:12:24,194 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:12:24,194 | pose_hrnet | 1.295 | 0.842 | 1.106 | 0.651 | 0.648 | 0.777 | 0.977 | 0.890 | 0.019 |
+2024-01-17 14:12:24,198 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:12:32,053 Epoch: [152][0/80]	Time 5.306s (5.306s)	Speed 12.1 samples/s	Data 4.015s (4.015s)	Loss 0.00022 (0.00022)	Accuracy 0.965 (0.965)
+2024-01-17 14:14:19,707 Test: [0/13]	Time 5.478 (5.478)	Loss 0.0004 (0.0004)	Accuracy 0.907 (0.907)
+2024-01-17 14:14:31,197 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:14:31,197 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:14:31,197 | pose_hrnet | 1.036 | 0.518 | 1.236 | 0.456 | 0.712 | 1.036 | 1.042 | 0.881 | 0.028 |
+2024-01-17 14:14:31,201 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:14:39,270 Epoch: [153][0/80]	Time 5.134s (5.134s)	Speed 12.5 samples/s	Data 3.819s (3.819s)	Loss 0.00023 (0.00023)	Accuracy 0.985 (0.985)
+2024-01-17 14:16:27,403 Test: [0/13]	Time 5.693 (5.693)	Loss 0.0004 (0.0004)	Accuracy 0.892 (0.892)
+2024-01-17 14:16:38,760 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:16:38,760 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:16:38,760 | pose_hrnet | 1.036 | 0.777 | 0.781 | 0.586 | 0.842 | 0.972 | 0.911 | 0.853 | 0.046 |
+2024-01-17 14:16:38,764 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:16:46,663 Epoch: [154][0/80]	Time 5.181s (5.181s)	Speed 12.4 samples/s	Data 3.890s (3.890s)	Loss 0.00023 (0.00023)	Accuracy 0.971 (0.971)
+2024-01-17 14:18:34,277 Test: [0/13]	Time 5.273 (5.273)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 14:18:45,914 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:18:45,914 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:18:45,914 | pose_hrnet | 1.166 | 0.842 | 0.976 | 0.586 | 0.972 | 1.231 | 0.716 | 0.899 | 0.019 |
+2024-01-17 14:18:45,918 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:18:53,852 Epoch: [155][0/80]	Time 5.283s (5.283s)	Speed 12.1 samples/s	Data 3.998s (3.998s)	Loss 0.00026 (0.00026)	Accuracy 0.963 (0.963)
+2024-01-17 14:20:41,324 Test: [0/13]	Time 5.317 (5.317)	Loss 0.0004 (0.0004)	Accuracy 0.899 (0.899)
+2024-01-17 14:20:52,757 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:20:52,757 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:20:52,757 | pose_hrnet | 1.554 | 0.842 | 0.976 | 0.716 | 0.583 | 0.972 | 1.042 | 0.909 | 0.046 |
+2024-01-17 14:20:52,761 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:21:01,527 Epoch: [156][0/80]	Time 5.710s (5.710s)	Speed 11.2 samples/s	Data 4.393s (4.393s)	Loss 0.00025 (0.00025)	Accuracy 0.964 (0.964)
+2024-01-17 14:22:48,868 Test: [0/13]	Time 5.384 (5.384)	Loss 0.0004 (0.0004)	Accuracy 0.888 (0.888)
+2024-01-17 14:23:00,617 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:23:00,617 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:23:00,617 | pose_hrnet | 1.036 | 0.648 | 0.976 | 0.456 | 0.648 | 0.583 | 0.846 | 0.751 | 0.028 |
+2024-01-17 14:23:00,621 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:23:09,112 Epoch: [157][0/80]	Time 5.552s (5.552s)	Speed 11.5 samples/s	Data 4.263s (4.263s)	Loss 0.00023 (0.00023)	Accuracy 0.973 (0.973)
+2024-01-17 14:24:57,499 Test: [0/13]	Time 6.083 (6.083)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 14:25:08,980 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:25:08,981 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:25:08,981 | pose_hrnet | 1.036 | 0.453 | 1.041 | 0.586 | 0.907 | 0.907 | 1.042 | 0.881 | 0.065 |
+2024-01-17 14:25:08,984 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:25:17,639 Epoch: [158][0/80]	Time 5.724s (5.724s)	Speed 11.2 samples/s	Data 4.430s (4.430s)	Loss 0.00021 (0.00021)	Accuracy 0.965 (0.965)
+2024-01-17 14:27:05,239 Test: [0/13]	Time 5.608 (5.608)	Loss 0.0004 (0.0004)	Accuracy 0.899 (0.899)
+2024-01-17 14:27:16,554 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:27:16,554 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:27:16,554 | pose_hrnet | 1.036 | 0.648 | 1.171 | 0.846 | 0.777 | 1.036 | 0.911 | 0.899 | 0.046 |
+2024-01-17 14:27:16,557 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:27:25,782 Epoch: [159][0/80]	Time 5.483s (5.483s)	Speed 11.7 samples/s	Data 4.188s (4.188s)	Loss 0.00022 (0.00022)	Accuracy 0.982 (0.982)
+2024-01-17 14:29:13,467 Test: [0/13]	Time 5.506 (5.506)	Loss 0.0004 (0.0004)	Accuracy 0.905 (0.905)
+2024-01-17 14:29:24,957 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:29:24,957 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:29:24,957 | pose_hrnet | 1.295 | 0.648 | 1.106 | 0.846 | 0.777 | 1.036 | 0.716 | 0.909 | 0.056 |
+2024-01-17 14:29:24,960 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:29:33,373 Epoch: [160][0/80]	Time 5.587s (5.587s)	Speed 11.5 samples/s	Data 4.301s (4.301s)	Loss 0.00022 (0.00022)	Accuracy 0.975 (0.975)
+2024-01-17 14:31:20,871 Test: [0/13]	Time 5.440 (5.440)	Loss 0.0004 (0.0004)	Accuracy 0.902 (0.902)
+2024-01-17 14:31:32,582 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:31:32,582 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:31:32,582 | pose_hrnet | 0.777 | 0.907 | 1.041 | 0.456 | 0.518 | 0.842 | 1.107 | 0.862 | 0.019 |
+2024-01-17 14:31:32,586 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:31:41,283 Epoch: [161][0/80]	Time 5.456s (5.456s)	Speed 11.7 samples/s	Data 4.165s (4.165s)	Loss 0.00022 (0.00022)	Accuracy 0.979 (0.979)
+2024-01-17 14:33:28,949 Test: [0/13]	Time 5.354 (5.354)	Loss 0.0004 (0.0004)	Accuracy 0.894 (0.894)
+2024-01-17 14:33:40,526 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:33:40,526 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:33:40,526 | pose_hrnet | 1.295 | 0.712 | 0.976 | 0.586 | 0.777 | 0.842 | 1.172 | 0.899 | 0.046 |
+2024-01-17 14:33:40,529 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:33:48,650 Epoch: [162][0/80]	Time 5.438s (5.438s)	Speed 11.8 samples/s	Data 4.152s (4.152s)	Loss 0.00022 (0.00022)	Accuracy 0.979 (0.979)
+2024-01-17 14:35:36,542 Test: [0/13]	Time 5.634 (5.634)	Loss 0.0004 (0.0004)	Accuracy 0.900 (0.900)
+2024-01-17 14:35:48,708 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:35:48,708 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:35:48,708 | pose_hrnet | 1.295 | 0.972 | 1.106 | 0.456 | 0.389 | 1.231 | 0.911 | 0.890 | 0.056 |
+2024-01-17 14:35:48,712 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:35:56,829 Epoch: [163][0/80]	Time 5.253s (5.253s)	Speed 12.2 samples/s	Data 3.958s (3.958s)	Loss 0.00025 (0.00025)	Accuracy 0.967 (0.967)
+2024-01-17 14:37:44,589 Test: [0/13]	Time 5.530 (5.530)	Loss 0.0004 (0.0004)	Accuracy 0.893 (0.893)
+2024-01-17 14:37:56,235 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:37:56,235 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:37:56,235 | pose_hrnet | 1.166 | 0.777 | 0.846 | 0.716 | 0.518 | 0.712 | 0.846 | 0.807 | 0.046 |
+2024-01-17 14:37:56,239 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:38:04,487 Epoch: [164][0/80]	Time 5.476s (5.476s)	Speed 11.7 samples/s	Data 4.182s (4.182s)	Loss 0.00022 (0.00022)	Accuracy 0.978 (0.978)
+2024-01-17 14:39:51,806 Test: [0/13]	Time 5.104 (5.104)	Loss 0.0004 (0.0004)	Accuracy 0.892 (0.892)
+2024-01-17 14:40:03,383 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:40:03,383 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:40:03,383 | pose_hrnet | 1.166 | 0.777 | 0.846 | 0.781 | 0.583 | 1.036 | 1.042 | 0.909 | 0.046 |
+2024-01-17 14:40:03,386 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:40:11,857 Epoch: [165][0/80]	Time 5.589s (5.589s)	Speed 11.5 samples/s	Data 4.301s (4.301s)	Loss 0.00023 (0.00023)	Accuracy 0.983 (0.983)
+2024-01-17 14:41:59,104 Test: [0/13]	Time 5.181 (5.181)	Loss 0.0004 (0.0004)	Accuracy 0.893 (0.893)
+2024-01-17 14:42:10,929 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:42:10,929 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:42:10,929 | pose_hrnet | 1.166 | 0.648 | 1.236 | 0.651 | 0.518 | 1.166 | 0.846 | 0.899 | 0.028 |
+2024-01-17 14:42:10,933 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:42:19,630 Epoch: [166][0/80]	Time 5.619s (5.619s)	Speed 11.4 samples/s	Data 4.331s (4.331s)	Loss 0.00026 (0.00026)	Accuracy 0.959 (0.959)
+2024-01-17 14:44:07,340 Test: [0/13]	Time 5.537 (5.537)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 14:44:18,693 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:44:18,693 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:44:18,693 | pose_hrnet | 1.554 | 0.648 | 1.106 | 0.521 | 0.389 | 1.036 | 1.237 | 0.918 | 0.037 |
+2024-01-17 14:44:18,696 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:44:27,072 Epoch: [167][0/80]	Time 5.598s (5.598s)	Speed 11.4 samples/s	Data 4.287s (4.287s)	Loss 0.00024 (0.00024)	Accuracy 0.949 (0.949)
+2024-01-17 14:46:14,742 Test: [0/13]	Time 5.552 (5.552)	Loss 0.0004 (0.0004)	Accuracy 0.903 (0.903)
+2024-01-17 14:46:26,154 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:46:26,154 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:46:26,154 | pose_hrnet | 1.166 | 0.583 | 1.106 | 0.716 | 0.518 | 1.166 | 0.716 | 0.844 | 0.028 |
+2024-01-17 14:46:26,158 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:46:34,720 Epoch: [168][0/80]	Time 5.669s (5.669s)	Speed 11.3 samples/s	Data 4.378s (4.378s)	Loss 0.00022 (0.00022)	Accuracy 0.975 (0.975)
+2024-01-17 14:48:22,670 Test: [0/13]	Time 5.939 (5.939)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 14:48:34,164 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:48:34,165 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:48:34,165 | pose_hrnet | 1.166 | 0.712 | 1.106 | 0.716 | 0.518 | 1.036 | 0.846 | 0.881 | 0.046 |
+2024-01-17 14:48:34,168 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:48:42,812 Epoch: [169][0/80]	Time 5.456s (5.456s)	Speed 11.7 samples/s	Data 4.167s (4.167s)	Loss 0.00019 (0.00019)	Accuracy 0.986 (0.986)
+2024-01-17 14:50:30,820 Test: [0/13]	Time 5.436 (5.436)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 14:50:42,483 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:50:42,483 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:50:42,483 | pose_hrnet | 1.425 | 0.648 | 1.171 | 0.651 | 0.453 | 1.166 | 0.977 | 0.918 | 0.037 |
+2024-01-17 14:50:42,487 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:50:51,252 Epoch: [170][0/80]	Time 5.707s (5.707s)	Speed 11.2 samples/s	Data 4.393s (4.393s)	Loss 0.00020 (0.00020)	Accuracy 0.978 (0.978)
+2024-01-17 14:52:38,994 Test: [0/13]	Time 5.497 (5.497)	Loss 0.0004 (0.0004)	Accuracy 0.902 (0.902)
+2024-01-17 14:52:50,303 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:52:50,303 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:52:50,303 | pose_hrnet | 1.295 | 0.777 | 1.106 | 0.651 | 0.518 | 1.101 | 0.977 | 0.890 | 0.037 |
+2024-01-17 14:52:50,306 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:52:58,830 Epoch: [171][0/80]	Time 5.842s (5.842s)	Speed 11.0 samples/s	Data 4.544s (4.544s)	Loss 0.00026 (0.00026)	Accuracy 0.954 (0.954)
+2024-01-17 14:54:46,649 Test: [0/13]	Time 5.770 (5.770)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 14:54:57,846 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:54:57,846 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:54:57,846 | pose_hrnet | 1.166 | 0.712 | 1.106 | 0.781 | 0.583 | 0.972 | 0.911 | 0.890 | 0.037 |
+2024-01-17 14:54:57,849 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:55:06,345 Epoch: [172][0/80]	Time 5.822s (5.822s)	Speed 11.0 samples/s	Data 4.505s (4.505s)	Loss 0.00021 (0.00021)	Accuracy 0.977 (0.977)
+2024-01-17 14:56:54,060 Test: [0/13]	Time 5.461 (5.461)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 14:57:05,921 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:57:05,921 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:57:05,921 | pose_hrnet | 1.425 | 0.777 | 1.106 | 0.781 | 0.777 | 1.036 | 0.781 | 0.936 | 0.037 |
+2024-01-17 14:57:05,925 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:57:14,501 Epoch: [173][0/80]	Time 5.619s (5.619s)	Speed 11.4 samples/s	Data 4.307s (4.307s)	Loss 0.00020 (0.00020)	Accuracy 0.985 (0.985)
+2024-01-17 14:59:01,984 Test: [0/13]	Time 5.371 (5.371)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 14:59:13,482 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 14:59:13,482 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 14:59:13,482 | pose_hrnet | 1.554 | 0.712 | 1.106 | 0.716 | 0.648 | 1.036 | 0.781 | 0.909 | 0.037 |
+2024-01-17 14:59:13,486 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 14:59:22,064 Epoch: [174][0/80]	Time 5.622s (5.622s)	Speed 11.4 samples/s	Data 4.317s (4.317s)	Loss 0.00023 (0.00023)	Accuracy 0.973 (0.973)
+2024-01-17 15:01:09,507 Test: [0/13]	Time 5.334 (5.334)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 15:01:21,130 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:01:21,130 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:01:21,130 | pose_hrnet | 1.554 | 0.712 | 1.041 | 0.781 | 0.777 | 1.295 | 0.911 | 0.992 | 0.046 |
+2024-01-17 15:01:21,133 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:01:29,856 Epoch: [175][0/80]	Time 5.712s (5.712s)	Speed 11.2 samples/s	Data 4.428s (4.428s)	Loss 0.00020 (0.00020)	Accuracy 0.975 (0.975)
+2024-01-17 15:03:17,470 Test: [0/13]	Time 5.586 (5.586)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 15:03:28,909 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:03:28,909 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:03:28,910 | pose_hrnet | 1.554 | 0.453 | 0.911 | 0.781 | 0.842 | 1.166 | 0.911 | 0.890 | 0.056 |
+2024-01-17 15:03:28,913 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:03:37,924 Epoch: [176][0/80]	Time 6.138s (6.138s)	Speed 10.4 samples/s	Data 4.827s (4.827s)	Loss 0.00019 (0.00019)	Accuracy 0.991 (0.991)
+2024-01-17 15:05:25,428 Test: [0/13]	Time 5.856 (5.856)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 15:05:36,791 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:05:36,791 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:05:36,791 | pose_hrnet | 1.425 | 0.648 | 1.106 | 0.586 | 0.842 | 1.036 | 0.846 | 0.899 | 0.037 |
+2024-01-17 15:05:36,795 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:05:45,378 Epoch: [177][0/80]	Time 5.745s (5.745s)	Speed 11.1 samples/s	Data 4.462s (4.462s)	Loss 0.00020 (0.00020)	Accuracy 0.983 (0.983)
+2024-01-17 15:07:32,900 Test: [0/13]	Time 5.194 (5.194)	Loss 0.0004 (0.0004)	Accuracy 0.900 (0.900)
+2024-01-17 15:07:44,541 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:07:44,541 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:07:44,541 | pose_hrnet | 1.425 | 0.453 | 1.041 | 0.651 | 0.842 | 1.101 | 0.911 | 0.890 | 0.037 |
+2024-01-17 15:07:44,544 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:07:53,482 Epoch: [178][0/80]	Time 5.987s (5.987s)	Speed 10.7 samples/s	Data 4.695s (4.695s)	Loss 0.00022 (0.00022)	Accuracy 0.974 (0.974)
+2024-01-17 15:09:41,096 Test: [0/13]	Time 5.742 (5.742)	Loss 0.0004 (0.0004)	Accuracy 0.900 (0.900)
+2024-01-17 15:09:52,592 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:09:52,592 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:09:52,593 | pose_hrnet | 1.295 | 0.583 | 0.976 | 0.781 | 0.777 | 1.231 | 1.107 | 0.955 | 0.037 |
+2024-01-17 15:09:52,596 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:10:01,413 Epoch: [179][0/80]	Time 5.619s (5.619s)	Speed 11.4 samples/s	Data 4.330s (4.330s)	Loss 0.00021 (0.00021)	Accuracy 0.978 (0.978)
+2024-01-17 15:11:48,343 Test: [0/13]	Time 5.025 (5.025)	Loss 0.0004 (0.0004)	Accuracy 0.899 (0.899)
+2024-01-17 15:11:59,495 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:11:59,495 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:11:59,495 | pose_hrnet | 1.554 | 0.712 | 1.106 | 0.781 | 0.907 | 1.101 | 0.977 | 0.974 | 0.046 |
+2024-01-17 15:11:59,499 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:12:07,602 Epoch: [180][0/80]	Time 5.463s (5.463s)	Speed 11.7 samples/s	Data 4.167s (4.167s)	Loss 0.00023 (0.00023)	Accuracy 0.978 (0.978)
+2024-01-17 15:13:54,981 Test: [0/13]	Time 5.220 (5.220)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 15:14:05,721 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:14:05,721 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:14:05,721 | pose_hrnet | 1.425 | 0.583 | 1.106 | 0.781 | 0.842 | 1.036 | 1.042 | 0.964 | 0.056 |
+2024-01-17 15:14:05,724 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:14:14,396 Epoch: [181][0/80]	Time 5.920s (5.920s)	Speed 10.8 samples/s	Data 4.608s (4.608s)	Loss 0.00021 (0.00021)	Accuracy 0.982 (0.982)
+2024-01-17 15:16:01,797 Test: [0/13]	Time 5.636 (5.636)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 15:16:13,259 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:16:13,259 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:16:13,259 | pose_hrnet | 1.295 | 0.518 | 1.171 | 0.716 | 0.842 | 0.972 | 0.977 | 0.918 | 0.037 |
+2024-01-17 15:16:13,262 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:16:21,815 Epoch: [182][0/80]	Time 5.566s (5.566s)	Speed 11.5 samples/s	Data 4.266s (4.266s)	Loss 0.00020 (0.00020)	Accuracy 0.973 (0.973)
+2024-01-17 15:18:09,641 Test: [0/13]	Time 5.605 (5.605)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 15:18:20,705 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:18:20,705 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:18:20,705 | pose_hrnet | 1.425 | 0.583 | 1.041 | 0.716 | 0.648 | 0.842 | 0.977 | 0.872 | 0.046 |
+2024-01-17 15:18:20,708 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:18:29,673 Epoch: [183][0/80]	Time 5.938s (5.938s)	Speed 10.8 samples/s	Data 4.637s (4.637s)	Loss 0.00020 (0.00020)	Accuracy 0.977 (0.977)
+2024-01-17 15:20:17,431 Test: [0/13]	Time 5.668 (5.668)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 15:20:28,917 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:20:28,917 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:20:28,917 | pose_hrnet | 1.166 | 0.583 | 1.236 | 0.651 | 0.648 | 0.907 | 1.172 | 0.899 | 0.065 |
+2024-01-17 15:20:28,921 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:20:37,166 Epoch: [184][0/80]	Time 5.341s (5.341s)	Speed 12.0 samples/s	Data 4.052s (4.052s)	Loss 0.00020 (0.00020)	Accuracy 0.977 (0.977)
+2024-01-17 15:22:24,605 Test: [0/13]	Time 5.347 (5.347)	Loss 0.0004 (0.0004)	Accuracy 0.899 (0.899)
+2024-01-17 15:22:36,125 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:22:36,125 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:22:36,125 | pose_hrnet | 1.425 | 0.583 | 1.171 | 0.651 | 0.712 | 1.036 | 1.172 | 0.936 | 0.065 |
+2024-01-17 15:22:36,129 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:22:44,413 Epoch: [185][0/80]	Time 5.407s (5.407s)	Speed 11.8 samples/s	Data 4.107s (4.107s)	Loss 0.00021 (0.00021)	Accuracy 0.979 (0.979)
+2024-01-17 15:24:32,302 Test: [0/13]	Time 5.675 (5.675)	Loss 0.0004 (0.0004)	Accuracy 0.902 (0.902)
+2024-01-17 15:24:43,756 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:24:43,756 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:24:43,756 | pose_hrnet | 1.554 | 0.583 | 1.171 | 0.716 | 0.777 | 1.036 | 0.846 | 0.918 | 0.046 |
+2024-01-17 15:24:43,759 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:24:52,732 Epoch: [186][0/80]	Time 5.996s (5.996s)	Speed 10.7 samples/s	Data 4.685s (4.685s)	Loss 0.00020 (0.00020)	Accuracy 0.974 (0.974)
+2024-01-17 15:26:40,259 Test: [0/13]	Time 5.640 (5.640)	Loss 0.0004 (0.0004)	Accuracy 0.904 (0.904)
+2024-01-17 15:26:51,561 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:26:51,561 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:26:51,561 | pose_hrnet | 1.684 | 0.518 | 1.171 | 0.716 | 0.777 | 1.036 | 1.042 | 0.946 | 0.056 |
+2024-01-17 15:26:51,564 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:27:00,158 Epoch: [187][0/80]	Time 5.316s (5.316s)	Speed 12.0 samples/s	Data 4.029s (4.029s)	Loss 0.00019 (0.00019)	Accuracy 0.986 (0.986)
+2024-01-17 15:28:48,154 Test: [0/13]	Time 5.720 (5.720)	Loss 0.0004 (0.0004)	Accuracy 0.899 (0.899)
+2024-01-17 15:28:59,433 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:28:59,433 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:28:59,433 | pose_hrnet | 1.425 | 0.518 | 1.236 | 0.781 | 0.842 | 0.842 | 1.172 | 0.955 | 0.056 |
+2024-01-17 15:28:59,436 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:29:08,091 Epoch: [188][0/80]	Time 5.613s (5.613s)	Speed 11.4 samples/s	Data 4.328s (4.328s)	Loss 0.00020 (0.00020)	Accuracy 0.981 (0.981)
+2024-01-17 15:30:55,943 Test: [0/13]	Time 5.753 (5.753)	Loss 0.0004 (0.0004)	Accuracy 0.898 (0.898)
+2024-01-17 15:31:07,083 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:31:07,083 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:31:07,083 | pose_hrnet | 1.425 | 0.518 | 1.171 | 0.716 | 0.712 | 0.842 | 1.042 | 0.909 | 0.056 |
+2024-01-17 15:31:07,086 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:31:15,835 Epoch: [189][0/80]	Time 5.678s (5.678s)	Speed 11.3 samples/s	Data 4.392s (4.392s)	Loss 0.00020 (0.00020)	Accuracy 0.976 (0.976)
+2024-01-17 15:33:03,718 Test: [0/13]	Time 5.663 (5.663)	Loss 0.0004 (0.0004)	Accuracy 0.902 (0.902)
+2024-01-17 15:33:15,268 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:33:15,269 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:33:15,269 | pose_hrnet | 1.295 | 0.712 | 1.106 | 0.716 | 0.648 | 1.036 | 1.237 | 0.974 | 0.074 |
+2024-01-17 15:33:15,272 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:33:23,781 Epoch: [190][0/80]	Time 5.441s (5.441s)	Speed 11.8 samples/s	Data 4.158s (4.158s)	Loss 0.00021 (0.00021)	Accuracy 0.965 (0.965)
+2024-01-17 15:35:12,005 Test: [0/13]	Time 5.970 (5.970)	Loss 0.0004 (0.0004)	Accuracy 0.901 (0.901)
+2024-01-17 15:35:23,468 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:35:23,468 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:35:23,468 | pose_hrnet | 1.295 | 0.583 | 1.301 | 0.716 | 0.712 | 0.777 | 1.107 | 0.936 | 0.083 |
+2024-01-17 15:35:23,471 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:35:32,039 Epoch: [191][0/80]	Time 5.609s (5.609s)	Speed 11.4 samples/s	Data 4.306s (4.306s)	Loss 0.00019 (0.00019)	Accuracy 0.979 (0.979)
+2024-01-17 15:37:20,016 Test: [0/13]	Time 5.785 (5.785)	Loss 0.0004 (0.0004)	Accuracy 0.904 (0.904)
+2024-01-17 15:37:31,239 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:37:31,239 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:37:31,239 | pose_hrnet | 1.554 | 0.583 | 1.171 | 0.716 | 0.777 | 1.101 | 0.977 | 0.955 | 0.046 |
+2024-01-17 15:37:31,242 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:37:39,810 Epoch: [192][0/80]	Time 5.730s (5.730s)	Speed 11.2 samples/s	Data 4.437s (4.437s)	Loss 0.00020 (0.00020)	Accuracy 0.978 (0.978)
+2024-01-17 15:39:27,427 Test: [0/13]	Time 5.729 (5.729)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 15:39:38,654 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:39:38,654 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:39:38,655 | pose_hrnet | 1.425 | 0.453 | 1.171 | 0.716 | 0.842 | 1.166 | 0.846 | 0.918 | 0.046 |
+2024-01-17 15:39:38,658 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:39:47,349 Epoch: [193][0/80]	Time 5.723s (5.723s)	Speed 11.2 samples/s	Data 4.418s (4.418s)	Loss 0.00023 (0.00023)	Accuracy 0.975 (0.975)
+2024-01-17 15:41:35,062 Test: [0/13]	Time 5.789 (5.789)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 15:41:46,611 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:41:46,611 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:41:46,611 | pose_hrnet | 1.425 | 0.583 | 1.236 | 0.716 | 0.712 | 0.907 | 1.107 | 0.955 | 0.046 |
+2024-01-17 15:41:46,614 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:41:55,493 Epoch: [194][0/80]	Time 5.902s (5.902s)	Speed 10.8 samples/s	Data 4.597s (4.597s)	Loss 0.00024 (0.00024)	Accuracy 0.959 (0.959)
+2024-01-17 15:43:42,932 Test: [0/13]	Time 5.488 (5.488)	Loss 0.0004 (0.0004)	Accuracy 0.899 (0.899)
+2024-01-17 15:43:54,202 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:43:54,203 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:43:54,203 | pose_hrnet | 1.425 | 0.583 | 1.106 | 0.521 | 0.777 | 0.842 | 0.977 | 0.862 | 0.056 |
+2024-01-17 15:43:54,206 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:44:03,067 Epoch: [195][0/80]	Time 5.807s (5.807s)	Speed 11.0 samples/s	Data 4.516s (4.516s)	Loss 0.00019 (0.00019)	Accuracy 0.985 (0.985)
+2024-01-17 15:45:50,332 Test: [0/13]	Time 5.465 (5.465)	Loss 0.0004 (0.0004)	Accuracy 0.901 (0.901)
+2024-01-17 15:46:01,637 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:46:01,637 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:46:01,637 | pose_hrnet | 1.166 | 0.518 | 1.171 | 0.716 | 0.712 | 1.036 | 1.237 | 0.955 | 0.065 |
+2024-01-17 15:46:01,640 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:46:10,453 Epoch: [196][0/80]	Time 5.684s (5.684s)	Speed 11.3 samples/s	Data 4.390s (4.390s)	Loss 0.00019 (0.00019)	Accuracy 0.988 (0.988)
+2024-01-17 15:47:57,889 Test: [0/13]	Time 5.394 (5.394)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 15:48:09,374 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:48:09,374 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:48:09,374 | pose_hrnet | 1.684 | 0.518 | 1.106 | 0.521 | 0.712 | 0.842 | 1.042 | 0.890 | 0.056 |
+2024-01-17 15:48:09,377 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:48:18,057 Epoch: [197][0/80]	Time 5.773s (5.773s)	Speed 11.1 samples/s	Data 4.458s (4.458s)	Loss 0.00023 (0.00023)	Accuracy 0.968 (0.968)
+2024-01-17 15:50:05,946 Test: [0/13]	Time 5.952 (5.952)	Loss 0.0004 (0.0004)	Accuracy 0.894 (0.894)
+2024-01-17 15:50:17,395 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:50:17,395 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:50:17,395 | pose_hrnet | 1.166 | 0.518 | 1.171 | 0.651 | 0.777 | 1.101 | 0.846 | 0.909 | 0.056 |
+2024-01-17 15:50:17,398 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:50:25,896 Epoch: [198][0/80]	Time 5.602s (5.602s)	Speed 11.4 samples/s	Data 4.310s (4.310s)	Loss 0.00021 (0.00021)	Accuracy 0.966 (0.966)
+2024-01-17 15:52:13,697 Test: [0/13]	Time 5.742 (5.742)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 15:52:24,957 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:52:24,957 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:52:24,957 | pose_hrnet | 0.907 | 0.518 | 1.106 | 0.586 | 0.583 | 0.842 | 0.846 | 0.807 | 0.046 |
+2024-01-17 15:52:24,961 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:52:33,785 Epoch: [199][0/80]	Time 5.728s (5.728s)	Speed 11.2 samples/s	Data 4.423s (4.423s)	Loss 0.00020 (0.00020)	Accuracy 0.973 (0.973)
+2024-01-17 15:54:21,389 Test: [0/13]	Time 5.651 (5.651)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 15:54:32,725 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:54:32,725 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:54:32,726 | pose_hrnet | 1.166 | 0.453 | 0.976 | 0.456 | 0.712 | 0.842 | 0.846 | 0.788 | 0.056 |
+2024-01-17 15:54:32,729 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:54:41,203 Epoch: [200][0/80]	Time 5.534s (5.534s)	Speed 11.6 samples/s	Data 4.244s (4.244s)	Loss 0.00021 (0.00021)	Accuracy 0.974 (0.974)
+2024-01-17 15:56:29,109 Test: [0/13]	Time 5.824 (5.824)	Loss 0.0004 (0.0004)	Accuracy 0.893 (0.893)
+2024-01-17 15:56:40,680 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:56:40,680 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:56:40,680 | pose_hrnet | 1.425 | 0.518 | 1.106 | 0.651 | 0.712 | 1.036 | 0.846 | 0.881 | 0.046 |
+2024-01-17 15:56:40,683 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:56:49,223 Epoch: [201][0/80]	Time 5.449s (5.449s)	Speed 11.7 samples/s	Data 4.134s (4.134s)	Loss 0.00018 (0.00018)	Accuracy 0.987 (0.987)
+2024-01-17 15:58:36,595 Test: [0/13]	Time 5.235 (5.235)	Loss 0.0004 (0.0004)	Accuracy 0.900 (0.900)
+2024-01-17 15:58:47,862 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 15:58:47,862 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 15:58:47,862 | pose_hrnet | 1.295 | 0.583 | 1.171 | 0.586 | 0.777 | 0.972 | 0.977 | 0.918 | 0.056 |
+2024-01-17 15:58:47,865 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 15:58:56,444 Epoch: [202][0/80]	Time 5.448s (5.448s)	Speed 11.7 samples/s	Data 4.160s (4.160s)	Loss 0.00019 (0.00019)	Accuracy 0.981 (0.981)
+2024-01-17 16:00:43,934 Test: [0/13]	Time 5.503 (5.503)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 16:00:55,374 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 16:00:55,374 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 16:00:55,374 | pose_hrnet | 1.425 | 0.583 | 1.106 | 0.521 | 0.712 | 0.907 | 0.911 | 0.862 | 0.065 |
+2024-01-17 16:00:55,378 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 16:01:04,023 Epoch: [203][0/80]	Time 5.799s (5.799s)	Speed 11.0 samples/s	Data 4.510s (4.510s)	Loss 0.00018 (0.00018)	Accuracy 0.984 (0.984)
+2024-01-17 16:02:50,858 Test: [0/13]	Time 5.006 (5.006)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 16:03:02,672 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 16:03:02,672 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 16:03:02,672 | pose_hrnet | 1.166 | 0.453 | 1.171 | 0.586 | 0.712 | 1.101 | 0.977 | 0.881 | 0.065 |
+2024-01-17 16:03:02,675 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 16:03:11,756 Epoch: [204][0/80]	Time 5.906s (5.906s)	Speed 10.8 samples/s	Data 4.622s (4.622s)	Loss 0.00020 (0.00020)	Accuracy 0.969 (0.969)
+2024-01-17 16:04:58,874 Test: [0/13]	Time 5.368 (5.368)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 16:05:10,665 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 16:05:10,666 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 16:05:10,666 | pose_hrnet | 1.295 | 0.583 | 1.301 | 0.586 | 0.842 | 0.777 | 0.911 | 0.909 | 0.065 |
+2024-01-17 16:05:10,669 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 16:05:19,555 Epoch: [205][0/80]	Time 5.482s (5.482s)	Speed 11.7 samples/s	Data 4.175s (4.175s)	Loss 0.00018 (0.00018)	Accuracy 0.984 (0.984)
+2024-01-17 16:07:07,282 Test: [0/13]	Time 5.435 (5.435)	Loss 0.0004 (0.0004)	Accuracy 0.893 (0.893)
+2024-01-17 16:07:18,617 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 16:07:18,617 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 16:07:18,617 | pose_hrnet | 1.166 | 0.453 | 1.171 | 0.521 | 0.648 | 0.842 | 0.977 | 0.834 | 0.056 |
+2024-01-17 16:07:18,621 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 16:07:27,272 Epoch: [206][0/80]	Time 5.504s (5.504s)	Speed 11.6 samples/s	Data 4.211s (4.211s)	Loss 0.00018 (0.00018)	Accuracy 0.982 (0.982)
+2024-01-17 16:09:14,850 Test: [0/13]	Time 5.418 (5.418)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 16:09:26,399 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 16:09:26,399 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 16:09:26,399 | pose_hrnet | 1.036 | 0.583 | 1.171 | 0.586 | 0.777 | 0.972 | 0.911 | 0.872 | 0.056 |
+2024-01-17 16:09:26,402 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 16:09:35,382 Epoch: [207][0/80]	Time 5.824s (5.824s)	Speed 11.0 samples/s	Data 4.532s (4.532s)	Loss 0.00020 (0.00020)	Accuracy 0.982 (0.982)
+2024-01-17 16:11:23,026 Test: [0/13]	Time 5.529 (5.529)	Loss 0.0004 (0.0004)	Accuracy 0.895 (0.895)
+2024-01-17 16:11:34,816 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 16:11:34,816 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 16:11:34,816 | pose_hrnet | 1.295 | 0.583 | 1.041 | 0.716 | 0.712 | 0.907 | 0.846 | 0.862 | 0.046 |
+2024-01-17 16:11:34,820 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 16:11:43,295 Epoch: [208][0/80]	Time 5.632s (5.632s)	Speed 11.4 samples/s	Data 4.344s (4.344s)	Loss 0.00023 (0.00023)	Accuracy 0.966 (0.966)
+2024-01-17 16:13:31,134 Test: [0/13]	Time 5.316 (5.316)	Loss 0.0004 (0.0004)	Accuracy 0.896 (0.896)
+2024-01-17 16:13:42,608 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 16:13:42,608 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 16:13:42,609 | pose_hrnet | 1.295 | 0.453 | 1.041 | 0.586 | 0.777 | 1.101 | 0.977 | 0.890 | 0.065 |
+2024-01-17 16:13:42,612 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 16:13:51,039 Epoch: [209][0/80]	Time 5.497s (5.497s)	Speed 11.6 samples/s	Data 4.208s (4.208s)	Loss 0.00018 (0.00018)	Accuracy 0.987 (0.987)
+2024-01-17 16:15:38,901 Test: [0/13]	Time 5.578 (5.578)	Loss 0.0004 (0.0004)	Accuracy 0.897 (0.897)
+2024-01-17 16:15:50,505 | Arch | Head | Shoulder | Elbow | Wrist | Hip | Knee | Ankle | Mean | Mean@0.1 |
+2024-01-17 16:15:50,505 |---|---|---|---|---|---|---|---|---|---|
+2024-01-17 16:15:50,506 | pose_hrnet | 1.166 | 0.518 | 1.106 | 0.521 | 0.777 | 0.907 | 0.911 | 0.844 | 0.056 |
+2024-01-17 16:15:50,509 => saving checkpoint to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3
+2024-01-17 16:15:53,507 => saving final model state to output/mpii/pose_hrnet/w32_256x256_adam_lr1e-3/final_state.pth
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diff --git a/output/springboard/events.out.tfevents.1694931642.lokamoto2.27407.0 b/output/springboard/events.out.tfevents.1694931642.lokamoto2.27407.0
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diff --git a/output/springboard/model_final.pth b/output/springboard/model_final.pth
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