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hyperparameter setting
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experiments/pano/pano_hrnet48.yaml

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AUTO_RESUME: false
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CUDNN:
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BENCHMARK: true
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DETERMINISTIC: false
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ENABLED: true
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DATA_DIR: ''
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GPUS: (0,)
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OUTPUT_DIR: 'output'
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LOG_DIR: 'log'
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WORKERS: 4
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PRINT_FREQ: 10
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DATASET:
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COLOR_RGB: true
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DATASET: 'pano'
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DATA_FORMAT: jpg
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FLIP: false
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NUM_JOINTS_HALF_BODY: 0
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PROB_HALF_BODY: 0.0
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ROOT: 'data/pano/'
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ROT_FACTOR: 0
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SCALE_FACTOR: 0.0
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TEST_SET: 'test'
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TRAIN_SET: 'train'
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MODEL:
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INIT_WEIGHTS: true
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NAME: pose_hrnet
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NUM_JOINTS: 32
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PRETRAINED: ''
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TARGET_TYPE: gaussian
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IMAGE_SIZE:
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- 512
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- 256
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HEATMAP_SIZE:
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- 128
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- 64
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SIGMA: 1
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EXTRA:
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PRETRAINED_LAYERS:
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- 'conv1'
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- 'bn1'
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- 'conv2'
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- 'bn2'
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- 'layer1'
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- 'transition1'
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- 'stage2'
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- 'transition2'
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- 'stage3'
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- 'transition3'
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- 'stage4'
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FINAL_CONV_KERNEL: 1
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STAGE2:
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NUM_MODULES: 1
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NUM_BRANCHES: 2
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BLOCK: BASIC
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NUM_BLOCKS:
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- 4
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- 4
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NUM_CHANNELS:
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- 48
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- 96
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FUSE_METHOD: SUM
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STAGE3:
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NUM_MODULES: 4
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NUM_BRANCHES: 3
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BLOCK: BASIC
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NUM_BLOCKS:
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- 4
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- 4
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- 4
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NUM_CHANNELS:
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- 48
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- 96
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- 192
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FUSE_METHOD: SUM
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STAGE4:
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NUM_MODULES: 3
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NUM_BRANCHES: 4
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BLOCK: BASIC
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NUM_BLOCKS:
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- 4
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- 4
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- 4
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- 4
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NUM_CHANNELS:
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- 48
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- 96
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- 192
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- 384
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FUSE_METHOD: SUM
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LOSS:
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USE_TARGET_WEIGHT: true
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TRAIN:
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BATCH_SIZE_PER_GPU: 16
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SHUFFLE: true
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BEGIN_EPOCH: 0
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END_EPOCH: 200
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OPTIMIZER: adam
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LR: 0.001
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LR_FACTOR: 0.1
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LR_STEP:
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- 150
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- 180
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WD: 0.0001
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GAMMA1: 0.99
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GAMMA2: 0.0
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MOMENTUM: 0.9
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NESTEROV: false
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TEST:
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BATCH_SIZE_PER_GPU: 1
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COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
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BBOX_THRE: 1.0
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IMAGE_THRE: 0.0
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IN_VIS_THRE: 0.2
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MODEL_FILE: ''
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NMS_THRE: 1.0
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OKS_THRE: 0.9
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USE_GT_BBOX: false
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FLIP_TEST: false
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POST_PROCESS: true
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SHIFT_HEATMAP: false
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DEBUG:
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DEBUG: true
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SAVE_BATCH_IMAGES_GT: true
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SAVE_BATCH_IMAGES_PRED: true
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SAVE_HEATMAPS_GT: true
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SAVE_HEATMAPS_PRED: true

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