AUTO_RESUME: true CUDNN: BENCHMARK: true DETERMINISTIC: false ENABLED: true DATA_DIR: '' GPUS: (0,) OUTPUT_DIR: 'output' LOG_DIR: 'log' WORKERS: 24 PRINT_FREQ: 100 DATASET: COLOR_RGB: true DATASET: 'coco' DATA_FORMAT: jpg FLIP: true NUM_JOINTS_HALF_BODY: 8 PROB_HALF_BODY: 0.3 ROOT: 'data/coco/' ROT_FACTOR: 45 SCALE_FACTOR: 0.35 TEST_SET: 'val2017' TRAIN_SET: 'train2017' MODEL: INIT_WEIGHTS: true NAME: pose_hrnet NUM_JOINTS: 17 PRETRAINED: 'models/pytorch/pose_coco/pose_hrnet_w32_384x288.pth' TARGET_TYPE: gaussian IMAGE_SIZE: - 288 - 384 HEATMAP_SIZE: - 72 - 96 SIGMA: 3 EXTRA: PRETRAINED_LAYERS: - 'conv1' - 'bn1' - 'conv2' - 'bn2' - 'layer1' - 'transition1' - 'stage2' - 'transition2' - 'stage3' - 'transition3' - 'stage4' FINAL_CONV_KERNEL: 1 STAGE2: NUM_MODULES: 1 NUM_BRANCHES: 2 BLOCK: BASIC NUM_BLOCKS: - 4 - 4 NUM_CHANNELS: - 32 - 64 FUSE_METHOD: SUM STAGE3: NUM_MODULES: 4 NUM_BRANCHES: 3 BLOCK: BASIC NUM_BLOCKS: - 4 - 4 - 4 NUM_CHANNELS: - 32 - 64 - 128 FUSE_METHOD: SUM STAGE4: NUM_MODULES: 3 NUM_BRANCHES: 4 BLOCK: BASIC NUM_BLOCKS: - 4 - 4 - 4 - 4 NUM_CHANNELS: - 32 - 64 - 128 - 256 FUSE_METHOD: SUM LOSS: USE_TARGET_WEIGHT: true TRAIN: BATCH_SIZE_PER_GPU: 32 SHUFFLE: true BEGIN_EPOCH: 0 END_EPOCH: 210 OPTIMIZER: adam LR: 0.001 LR_FACTOR: 0.1 LR_STEP: - 170 - 200 WD: 0.0001 GAMMA1: 0.99 GAMMA2: 0.0 MOMENTUM: 0.9 NESTEROV: false TEST: BATCH_SIZE_PER_GPU: 32 COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json' BBOX_THRE: 1.0 IMAGE_THRE: 0.0 IN_VIS_THRE: 0.2 MODEL_FILE: 'models/pytorch/pose_coco/pose_hrnet_w32_384x288.pth' NMS_THRE: 1.0 OKS_THRE: 0.9 USE_GT_BBOX: true FLIP_TEST: true POST_PROCESS: true SHIFT_HEATMAP: true DEBUG: DEBUG: true SAVE_BATCH_IMAGES_GT: true SAVE_BATCH_IMAGES_PRED: true SAVE_HEATMAPS_GT: true SAVE_HEATMAPS_PRED: true