Upload model and baseline model
Browse files- Baseline_sgd/category_meta.json +1 -0
- Baseline_sgd/config.yaml +454 -0
- Baseline_sgd/last_checkpoint +1 -0
- Baseline_sgd/log.txt +0 -0
- Baseline_sgd/metrics.json +0 -0
- Baseline_sgd/model_final.pth +3 -0
- weak cube r-cnn/model_final.pth +3 -0
Baseline_sgd/category_meta.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"thing_classes": ["pedestrian", "car", "cyclist", "van", "truck", "traffic cone", "barrier", "motorcycle", "bicycle", "bus", "trailer", "books", "bottle", "camera", "cereal box", "chair", "cup", "laptop", "shoes", "towel", "blinds", "window", "lamp", "shelves", "mirror", "sink", "cabinet", "bathtub", "door", "toilet", "desk", "box", "bookcase", "picture", "table", "counter", "bed", "night stand", "pillow", "sofa", "television", "floor mat", "curtain", "clothes", "stationery", "refrigerator", "bin", "stove", "oven", "machine"], "thing_dataset_id_to_contiguous_id": {"0": 0, "1": 1, "3": 2, "4": 3, "5": 4, "8": 5, "9": 6, "10": 7, "11": 8, "12": 9, "13": 10, "14": 11, "15": 12, "16": 13, "17": 14, "18": 15, "19": 16, "20": 17, "21": 18, "22": 19, "23": 20, "24": 21, "25": 22, "26": 23, "27": 24, "28": 25, "29": 26, "30": 27, "31": 28, "32": 29, "33": 30, "34": 31, "35": 32, "36": 33, "37": 34, "38": 35, "39": 36, "40": 37, "42": 38, "43": 39, "44": 40, "45": 41, "46": 42, "47": 43, "48": 44, "49": 45, "52": 46, "53": 47, "57": 48, "61": 49}}
|
Baseline_sgd/config.yaml
ADDED
@@ -0,0 +1,454 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
CUDNN_BENCHMARK: false
|
2 |
+
DATALOADER:
|
3 |
+
ASPECT_RATIO_GROUPING: true
|
4 |
+
BALANCE_DATASETS: false
|
5 |
+
FILTER_EMPTY_ANNOTATIONS: true
|
6 |
+
NUM_WORKERS: 4
|
7 |
+
REPEAT_THRESHOLD: 0.1
|
8 |
+
SAMPLER_TRAIN: RepeatFactorTrainingSampler
|
9 |
+
DATASETS:
|
10 |
+
CATEGORY_NAMES:
|
11 |
+
- chair
|
12 |
+
- table
|
13 |
+
- cabinet
|
14 |
+
- car
|
15 |
+
- lamp
|
16 |
+
- books
|
17 |
+
- sofa
|
18 |
+
- pedestrian
|
19 |
+
- picture
|
20 |
+
- window
|
21 |
+
- pillow
|
22 |
+
- truck
|
23 |
+
- door
|
24 |
+
- blinds
|
25 |
+
- sink
|
26 |
+
- shelves
|
27 |
+
- television
|
28 |
+
- shoes
|
29 |
+
- cup
|
30 |
+
- bottle
|
31 |
+
- bookcase
|
32 |
+
- laptop
|
33 |
+
- desk
|
34 |
+
- cereal box
|
35 |
+
- floor mat
|
36 |
+
- traffic cone
|
37 |
+
- mirror
|
38 |
+
- barrier
|
39 |
+
- counter
|
40 |
+
- camera
|
41 |
+
- bicycle
|
42 |
+
- toilet
|
43 |
+
- bus
|
44 |
+
- bed
|
45 |
+
- refrigerator
|
46 |
+
- trailer
|
47 |
+
- box
|
48 |
+
- oven
|
49 |
+
- clothes
|
50 |
+
- van
|
51 |
+
- towel
|
52 |
+
- motorcycle
|
53 |
+
- night stand
|
54 |
+
- stove
|
55 |
+
- machine
|
56 |
+
- stationery
|
57 |
+
- bathtub
|
58 |
+
- cyclist
|
59 |
+
- curtain
|
60 |
+
- bin
|
61 |
+
IGNORE_NAMES:
|
62 |
+
- dontcare
|
63 |
+
- ignore
|
64 |
+
- void
|
65 |
+
MAX_DEPTH: 100000000.0
|
66 |
+
MIN_HEIGHT_THRES: 0.05
|
67 |
+
MODAL_2D_BOXES: false
|
68 |
+
PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
|
69 |
+
PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
|
70 |
+
PROPOSAL_FILES_TEST: []
|
71 |
+
PROPOSAL_FILES_TRAIN: []
|
72 |
+
TEST:
|
73 |
+
- SUNRGBD_test_mini
|
74 |
+
TRAIN:
|
75 |
+
- SUNRGBD_train_mini
|
76 |
+
- SUNRGBD_val_mini
|
77 |
+
TRUNCATION_THRES: 0.75
|
78 |
+
TRUNC_2D_BOXES: true
|
79 |
+
VISIBILITY_THRES: 0.25
|
80 |
+
GLOBAL:
|
81 |
+
HACK: 1.0
|
82 |
+
INPUT:
|
83 |
+
CROP:
|
84 |
+
ENABLED: false
|
85 |
+
SIZE:
|
86 |
+
- 0.9
|
87 |
+
- 0.9
|
88 |
+
TYPE: relative_range
|
89 |
+
FORMAT: BGR
|
90 |
+
MASK_FORMAT: polygon
|
91 |
+
MAX_SIZE_TEST: 4096
|
92 |
+
MAX_SIZE_TRAIN: 4096
|
93 |
+
MIN_SIZE_TEST: 512
|
94 |
+
MIN_SIZE_TRAIN:
|
95 |
+
- 256
|
96 |
+
- 272
|
97 |
+
- 288
|
98 |
+
- 304
|
99 |
+
- 320
|
100 |
+
- 336
|
101 |
+
- 352
|
102 |
+
- 368
|
103 |
+
- 384
|
104 |
+
- 400
|
105 |
+
- 416
|
106 |
+
- 432
|
107 |
+
- 448
|
108 |
+
- 464
|
109 |
+
- 480
|
110 |
+
- 496
|
111 |
+
- 512
|
112 |
+
- 528
|
113 |
+
- 544
|
114 |
+
- 560
|
115 |
+
- 576
|
116 |
+
- 592
|
117 |
+
- 608
|
118 |
+
- 624
|
119 |
+
- 640
|
120 |
+
MIN_SIZE_TRAIN_SAMPLING: choice
|
121 |
+
RANDOM_FLIP: horizontal
|
122 |
+
MODEL:
|
123 |
+
ANCHOR_GENERATOR:
|
124 |
+
ANGLES:
|
125 |
+
- - -90
|
126 |
+
- 0
|
127 |
+
- 90
|
128 |
+
ASPECT_RATIOS:
|
129 |
+
- - 0.5
|
130 |
+
- 1.0
|
131 |
+
- 2.0
|
132 |
+
NAME: DefaultAnchorGenerator
|
133 |
+
OFFSET: 0.0
|
134 |
+
SIZES:
|
135 |
+
- - 32
|
136 |
+
- - 64
|
137 |
+
- - 128
|
138 |
+
- - 256
|
139 |
+
- - 512
|
140 |
+
BACKBONE:
|
141 |
+
FREEZE_AT: 0
|
142 |
+
NAME: build_dla_from_vision_fpn_backbone
|
143 |
+
DEVICE: cpu
|
144 |
+
DLA:
|
145 |
+
TRICKS: false
|
146 |
+
TYPE: dla34
|
147 |
+
FPN:
|
148 |
+
FUSE_TYPE: sum
|
149 |
+
IN_FEATURES:
|
150 |
+
- p2
|
151 |
+
- p3
|
152 |
+
- p4
|
153 |
+
- p5
|
154 |
+
- p6
|
155 |
+
NORM: ''
|
156 |
+
OUT_CHANNELS: 256
|
157 |
+
KEYPOINT_ON: false
|
158 |
+
LOAD_PROPOSALS: false
|
159 |
+
MASK_ON: false
|
160 |
+
META_ARCHITECTURE: RCNN3D
|
161 |
+
PANOPTIC_FPN:
|
162 |
+
COMBINE:
|
163 |
+
ENABLED: true
|
164 |
+
INSTANCES_CONFIDENCE_THRESH: 0.5
|
165 |
+
OVERLAP_THRESH: 0.5
|
166 |
+
STUFF_AREA_LIMIT: 4096
|
167 |
+
INSTANCE_LOSS_WEIGHT: 1.0
|
168 |
+
PIXEL_MEAN:
|
169 |
+
- 103.53
|
170 |
+
- 116.28
|
171 |
+
- 123.675
|
172 |
+
PIXEL_STD:
|
173 |
+
- 57.375
|
174 |
+
- 57.12
|
175 |
+
- 58.395
|
176 |
+
PROPOSAL_GENERATOR:
|
177 |
+
MIN_SIZE: 0
|
178 |
+
NAME: RPNWithIgnore
|
179 |
+
RESNETS:
|
180 |
+
DEFORM_MODULATED: false
|
181 |
+
DEFORM_NUM_GROUPS: 1
|
182 |
+
DEFORM_ON_PER_STAGE:
|
183 |
+
- false
|
184 |
+
- false
|
185 |
+
- false
|
186 |
+
- false
|
187 |
+
DEPTH: 50
|
188 |
+
NORM: FrozenBN
|
189 |
+
NUM_GROUPS: 1
|
190 |
+
OUT_FEATURES:
|
191 |
+
- res4
|
192 |
+
RES2_OUT_CHANNELS: 256
|
193 |
+
RES5_DILATION: 1
|
194 |
+
STEM_OUT_CHANNELS: 64
|
195 |
+
STRIDE_IN_1X1: true
|
196 |
+
TORCHVISION: true
|
197 |
+
WIDTH_PER_GROUP: 64
|
198 |
+
RETINANET:
|
199 |
+
BBOX_REG_LOSS_TYPE: smooth_l1
|
200 |
+
BBOX_REG_WEIGHTS: &id002
|
201 |
+
- 1.0
|
202 |
+
- 1.0
|
203 |
+
- 1.0
|
204 |
+
- 1.0
|
205 |
+
FOCAL_LOSS_ALPHA: 0.25
|
206 |
+
FOCAL_LOSS_GAMMA: 2.0
|
207 |
+
IN_FEATURES:
|
208 |
+
- p3
|
209 |
+
- p4
|
210 |
+
- p5
|
211 |
+
- p6
|
212 |
+
- p7
|
213 |
+
IOU_LABELS:
|
214 |
+
- 0
|
215 |
+
- -1
|
216 |
+
- 1
|
217 |
+
IOU_THRESHOLDS:
|
218 |
+
- 0.4
|
219 |
+
- 0.5
|
220 |
+
NMS_THRESH_TEST: 0.5
|
221 |
+
NORM: ''
|
222 |
+
NUM_CLASSES: 80
|
223 |
+
NUM_CONVS: 4
|
224 |
+
PRIOR_PROB: 0.01
|
225 |
+
SCORE_THRESH_TEST: 0.05
|
226 |
+
SMOOTH_L1_LOSS_BETA: 0.1
|
227 |
+
TOPK_CANDIDATES_TEST: 1000
|
228 |
+
ROI_BOX_CASCADE_HEAD:
|
229 |
+
BBOX_REG_WEIGHTS:
|
230 |
+
- &id001
|
231 |
+
- 10.0
|
232 |
+
- 10.0
|
233 |
+
- 5.0
|
234 |
+
- 5.0
|
235 |
+
- - 20.0
|
236 |
+
- 20.0
|
237 |
+
- 10.0
|
238 |
+
- 10.0
|
239 |
+
- - 30.0
|
240 |
+
- 30.0
|
241 |
+
- 15.0
|
242 |
+
- 15.0
|
243 |
+
IOUS:
|
244 |
+
- 0.5
|
245 |
+
- 0.6
|
246 |
+
- 0.7
|
247 |
+
ROI_BOX_HEAD:
|
248 |
+
BBOX_REG_LOSS_TYPE: smooth_l1
|
249 |
+
BBOX_REG_LOSS_WEIGHT: 1.0
|
250 |
+
BBOX_REG_WEIGHTS: *id001
|
251 |
+
CLS_AGNOSTIC_BBOX_REG: false
|
252 |
+
CONV_DIM: 256
|
253 |
+
FC_DIM: 1024
|
254 |
+
FED_LOSS_FREQ_WEIGHT_POWER: 0.5
|
255 |
+
FED_LOSS_NUM_CLASSES: 50
|
256 |
+
NAME: FastRCNNConvFCHead
|
257 |
+
NORM: ''
|
258 |
+
NUM_CONV: 0
|
259 |
+
NUM_FC: 2
|
260 |
+
POOLER_RESOLUTION: 7
|
261 |
+
POOLER_SAMPLING_RATIO: 0
|
262 |
+
POOLER_TYPE: ROIAlignV2
|
263 |
+
SMOOTH_L1_BETA: 0.0
|
264 |
+
TRAIN_ON_PRED_BOXES: false
|
265 |
+
USE_FED_LOSS: false
|
266 |
+
USE_SIGMOID_CE: false
|
267 |
+
ROI_CUBE_HEAD:
|
268 |
+
ALLOCENTRIC_POSE: true
|
269 |
+
CHAMFER_POSE: true
|
270 |
+
CLUSTER_BINS: 1
|
271 |
+
CONV_DIM: 256
|
272 |
+
DIMS_PRIORS_ENABLED: true
|
273 |
+
DIMS_PRIORS_FUNC: exp
|
274 |
+
DIMS_PRIORS_PRECOMPUTED: false
|
275 |
+
DISENTANGLED_LOSS: true
|
276 |
+
FC_DIM: 1024
|
277 |
+
INVERSE_Z_WEIGHT: false
|
278 |
+
LOSS_W_3D: 1.0
|
279 |
+
LOSS_W_DIMS: 1.0
|
280 |
+
LOSS_W_JOINT: 1.0
|
281 |
+
LOSS_W_POSE: 1.0
|
282 |
+
LOSS_W_XY: 1.0
|
283 |
+
LOSS_W_Z: 1.0
|
284 |
+
NAME: CubeHead
|
285 |
+
NUM_CONV: 0
|
286 |
+
NUM_FC: 2
|
287 |
+
POOLER_RESOLUTION: 7
|
288 |
+
POOLER_SAMPLING_RATIO: 0
|
289 |
+
POOLER_TYPE: ROIAlignV2
|
290 |
+
POSE_TYPE: 6d
|
291 |
+
SCALE_ROI_BOXES: 0.0
|
292 |
+
SHARED_FC: true
|
293 |
+
TEST: blasss
|
294 |
+
USE_CONFIDENCE: 1.0
|
295 |
+
VIRTUAL_DEPTH: true
|
296 |
+
VIRTUAL_FOCAL: 512.0
|
297 |
+
Z_TYPE: direct
|
298 |
+
ROI_HEADS:
|
299 |
+
BATCH_SIZE_PER_IMAGE: 512
|
300 |
+
IN_FEATURES:
|
301 |
+
- p2
|
302 |
+
- p3
|
303 |
+
- p4
|
304 |
+
- p5
|
305 |
+
- p6
|
306 |
+
IOU_LABELS:
|
307 |
+
- 0
|
308 |
+
- 1
|
309 |
+
IOU_THRESHOLDS:
|
310 |
+
- 0.5
|
311 |
+
NAME: ROIHeads3D
|
312 |
+
NMS_THRESH_TEST: 0.5
|
313 |
+
NUM_CLASSES: 50
|
314 |
+
POSITIVE_FRACTION: 0.25
|
315 |
+
PROPOSAL_APPEND_GT: true
|
316 |
+
SCORE_THRESH_TEST: 0.01
|
317 |
+
ROI_KEYPOINT_HEAD:
|
318 |
+
CONV_DIMS:
|
319 |
+
- 512
|
320 |
+
- 512
|
321 |
+
- 512
|
322 |
+
- 512
|
323 |
+
- 512
|
324 |
+
- 512
|
325 |
+
- 512
|
326 |
+
- 512
|
327 |
+
LOSS_WEIGHT: 1.0
|
328 |
+
MIN_KEYPOINTS_PER_IMAGE: 1
|
329 |
+
NAME: KRCNNConvDeconvUpsampleHead
|
330 |
+
NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true
|
331 |
+
NUM_KEYPOINTS: 17
|
332 |
+
POOLER_RESOLUTION: 14
|
333 |
+
POOLER_SAMPLING_RATIO: 0
|
334 |
+
POOLER_TYPE: ROIAlignV2
|
335 |
+
ROI_MASK_HEAD:
|
336 |
+
CLS_AGNOSTIC_MASK: false
|
337 |
+
CONV_DIM: 256
|
338 |
+
NAME: MaskRCNNConvUpsampleHead
|
339 |
+
NORM: ''
|
340 |
+
NUM_CONV: 0
|
341 |
+
POOLER_RESOLUTION: 14
|
342 |
+
POOLER_SAMPLING_RATIO: 0
|
343 |
+
POOLER_TYPE: ROIAlignV2
|
344 |
+
RPN:
|
345 |
+
BATCH_SIZE_PER_IMAGE: 256
|
346 |
+
BBOX_REG_LOSS_TYPE: smooth_l1
|
347 |
+
BBOX_REG_LOSS_WEIGHT: 1.0
|
348 |
+
BBOX_REG_WEIGHTS: *id002
|
349 |
+
BOUNDARY_THRESH: -1
|
350 |
+
CONV_DIMS:
|
351 |
+
- -1
|
352 |
+
HEAD_NAME: StandardRPNHead
|
353 |
+
IGNORE_THRESHOLD: 0.5
|
354 |
+
IN_FEATURES:
|
355 |
+
- p2
|
356 |
+
- p3
|
357 |
+
- p4
|
358 |
+
- p5
|
359 |
+
- p6
|
360 |
+
IOU_LABELS:
|
361 |
+
- 0
|
362 |
+
- -1
|
363 |
+
- 1
|
364 |
+
IOU_THRESHOLDS:
|
365 |
+
- 0.05
|
366 |
+
- 0.05
|
367 |
+
LOSS_WEIGHT: 1.0
|
368 |
+
NMS_THRESH: 0.7
|
369 |
+
OBJECTNESS_UNCERTAINTY: IoUness
|
370 |
+
POSITIVE_FRACTION: 1.0
|
371 |
+
POST_NMS_TOPK_TEST: 1000
|
372 |
+
POST_NMS_TOPK_TRAIN: 1000
|
373 |
+
PRE_NMS_TOPK_TEST: 1000
|
374 |
+
PRE_NMS_TOPK_TRAIN: 2000
|
375 |
+
SMOOTH_L1_BETA: 0.0
|
376 |
+
SEM_SEG_HEAD:
|
377 |
+
COMMON_STRIDE: 4
|
378 |
+
CONVS_DIM: 128
|
379 |
+
IGNORE_VALUE: 255
|
380 |
+
IN_FEATURES:
|
381 |
+
- p2
|
382 |
+
- p3
|
383 |
+
- p4
|
384 |
+
- p5
|
385 |
+
LOSS_WEIGHT: 1.0
|
386 |
+
NAME: SemSegFPNHead
|
387 |
+
NORM: GN
|
388 |
+
NUM_CLASSES: 54
|
389 |
+
STABILIZE: 0.02
|
390 |
+
USE_BN: true
|
391 |
+
WEIGHTS: ''
|
392 |
+
WEIGHTS_PRETRAIN: ''
|
393 |
+
OUTPUT_DIR: output/Baseline_sgd
|
394 |
+
PLOT:
|
395 |
+
OUTPUT_DIR: ''
|
396 |
+
RECALL_SCORES: false
|
397 |
+
SEED: 12
|
398 |
+
SOLVER:
|
399 |
+
AMP:
|
400 |
+
ENABLED: false
|
401 |
+
BASE_LR: 0.0214
|
402 |
+
BASE_LR_END: 0.0
|
403 |
+
BIAS_LR_FACTOR: 1.0
|
404 |
+
CHECKPOINT_PERIOD: 5000
|
405 |
+
CLIP_GRADIENTS:
|
406 |
+
CLIP_TYPE: value
|
407 |
+
CLIP_VALUE: 1.0
|
408 |
+
ENABLED: false
|
409 |
+
NORM_TYPE: 2.0
|
410 |
+
GAMMA: 0.1
|
411 |
+
IMS_PER_BATCH: 2
|
412 |
+
LR_SCHEDULER_NAME: WarmupMultiStepLR
|
413 |
+
MAX_ITER: 100000
|
414 |
+
MOMENTUM: 0.9
|
415 |
+
NESTEROV: false
|
416 |
+
NUM_DECAYS: 3
|
417 |
+
REFERENCE_WORLD_SIZE: 0
|
418 |
+
RESCALE_INTERVAL: false
|
419 |
+
STEPS:
|
420 |
+
- 17280
|
421 |
+
- 23040
|
422 |
+
TYPE: sgd
|
423 |
+
WARMUP_FACTOR: 0.001
|
424 |
+
WARMUP_ITERS: 0
|
425 |
+
WARMUP_METHOD: linear
|
426 |
+
WEIGHT_DECAY: 0.0001
|
427 |
+
WEIGHT_DECAY_BIAS: null
|
428 |
+
WEIGHT_DECAY_NORM: 0.0
|
429 |
+
TEST:
|
430 |
+
AUG:
|
431 |
+
ENABLED: false
|
432 |
+
FLIP: true
|
433 |
+
MAX_SIZE: 4000
|
434 |
+
MIN_SIZES:
|
435 |
+
- 400
|
436 |
+
- 500
|
437 |
+
- 600
|
438 |
+
- 700
|
439 |
+
- 800
|
440 |
+
- 900
|
441 |
+
- 1000
|
442 |
+
- 1100
|
443 |
+
- 1200
|
444 |
+
DETECTIONS_PER_IMAGE: 100
|
445 |
+
EVAL_PERIOD: 7200
|
446 |
+
EXPECTED_RESULTS: []
|
447 |
+
KEYPOINT_OKS_SIGMAS: []
|
448 |
+
PRECISE_BN:
|
449 |
+
ENABLED: false
|
450 |
+
NUM_ITER: 200
|
451 |
+
TRUNCATION_THRES: 0.33333333
|
452 |
+
VISIBILITY_THRES: 0.33333333
|
453 |
+
VERSION: 2
|
454 |
+
VIS_PERIOD: 1
|
Baseline_sgd/last_checkpoint
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
model_final.pth
|
Baseline_sgd/log.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
Baseline_sgd/metrics.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
Baseline_sgd/model_final.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a2a7d91bfc42b0aa700623efa6ef7641fa9c613c70c854fc9aec75d27ab3f630
|
3 |
+
size 383337788
|
weak cube r-cnn/model_final.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3864e8b2f5a7c0413a271cdb90c5ff5052660ffbe03cbc0f619e3f3977b9458d
|
3 |
+
size 383338812
|