DLA_34_FPN_EMM.yaml

INPUT:
  MIN_SIZE_TRAIN: (640, 720, 800, 880, 960)
  MAX_SIZE_TRAIN: 1280
  MIN_SIZE_TEST: 800
  MAX_SIZE_TEST: 1280
  PIXEL_MEAN: [0.485, 0.456, 0.406]
  PIXEL_STD: [0.229, 0.224, 0.225]
  TO_BGR255: False
  # This augmentation is intended for
  # dataset with small motion
  MOTION_LIMIT: 0.05
  MOTION_BLUR_PROB: 1.0
  COMPRESSION_LIMIT: 50
  BRIGHTNESS: 0.1
  CONTRAST: 0.1
  SATURATION: 0.1
  HUE: 0.1

MODEL:
  # The maximum number of frames that a track keeps dormant before it is killed
  TRACK_HEAD:
    MAX_DORMANT_FRAMES: 30

SOLVER:
  # Assume 8 GPUs
  BASE_LR: 0.02
  WEIGHT_DECAY: 0.0001
  STEPS: (30000, 40000)
  MAX_ITER: 50000
  VIDEO_CLIPS_PER_BATCH: 16

DATASETS:
  # SET THIS PATH CORRECTLY
  ROOT_DIR: ""
  TRAIN: ("COCO17_train", "crowdhuman_train_vbox", "crowdhuman_val_vbox")

DATALOADER:
  SIZE_DIVISIBILITY: 32
  NUM_WORKERS: 8