res101_256x256_d256x3_adam_lr1e-3.yaml

AUTO_RESUME: true
CUDNN:
  BENCHMARK: true
  DETERMINISTIC: false
  ENABLED: true
DATA_DIR: ''
GPUS: (0,1,2,3)
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 24
PRINT_FREQ: 100

DATASET:
  COLOR_RGB: false
  DATASET: mpii
  DATA_FORMAT: jpg
  FLIP: true
  NUM_JOINTS_HALF_BODY: 8
  PROB_HALF_BODY: -1.0
  ROOT: 'data/mpii/'
  ROT_FACTOR: 30
  SCALE_FACTOR: 0.25
  TEST_SET: valid
  TRAIN_SET: train
MODEL:
  NAME: 'pose_resnet'
  PRETRAINED: 'models/pytorch/imagenet/resnet101-5d3b4d8f.pth'
  IMAGE_SIZE:
  - 256
  - 256
  HEATMAP_SIZE:
  - 64
  - 64
  SIGMA: 2
  NUM_JOINTS: 16
  TARGET_TYPE: 'gaussian'
  EXTRA:
    FINAL_CONV_KERNEL: 1
    DECONV_WITH_BIAS: false
    NUM_DECONV_LAYERS: 3
    NUM_DECONV_FILTERS:
    - 256
    - 256
    - 256
    NUM_DECONV_KERNELS:
    - 4
    - 4
    - 4
    NUM_LAYERS: 101
LOSS:
  USE_TARGET_WEIGHT: true
TRAIN:
  BATCH_SIZE_PER_GPU: 32
  SHUFFLE: true
  BEGIN_EPOCH: 0
  END_EPOCH: 140
  OPTIMIZER: 'adam'
  LR: 0.001
  LR_FACTOR: 0.1
  LR_STEP:
  - 90
  - 120
  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: ''
  NMS_THRE: 1.0
  OKS_THRE: 0.9
  FLIP_TEST: true
  POST_PROCESS: true
  SHIFT_HEATMAP: true
  USE_GT_BBOX: true
DEBUG:
  DEBUG: true
  SAVE_BATCH_IMAGES_GT: true
  SAVE_BATCH_IMAGES_PRED: true
  SAVE_HEATMAPS_GT: true
  SAVE_HEATMAPS_PRED: true