Base-FSOD-C4.yaml

MODEL:
  META_ARCHITECTURE: "FsodRCNN"
  PROPOSAL_GENERATOR:
    NAME: "FsodRPN"  
  RPN:
    PRE_NMS_TOPK_TEST: 6000
    POST_NMS_TOPK_TEST: 100
  ROI_HEADS:
    NAME: "FsodRes5ROIHeads"
    BATCH_SIZE_PER_IMAGE: 128
    POSITIVE_FRACTION: 0.5
    NUM_CLASSES: 1
    IN_FEATURES: ["res2", "res3", "res4"]
  BACKBONE:
    FREEZE_AT: 1
  #PIXEL_MEAN: [102.9801, 115.9465, 122.7717]
DATASETS:
  TRAIN: ("coco_2017_train_nonvoc",) #("coco_2017_train",)
  TEST: ("coco_2017_val",)
  TESTSHOTS: 10
DATALOADER:
  NUM_WORKERS: 8
SOLVER:
  IMS_PER_BATCH: 8 #16
  BASE_LR: 0.004 #0.02
  STEPS: (60000, 80000) #(30000, 40000) #(56000,) #(60000, 80000)
  MAX_ITER: 80000 #300000 #45000 #60000 #90000
  WARMUP_ITERS: 1000 #500
  WARMUP_FACTOR: 0.1
  GAMMA: 0.1
  START_SAVE_ITER: 72000
  CHECKPOINT_PERIOD_EVA: 500
  CHECKPOINT_PERIOD: 10000
  HEAD_LR_FACTOR: 2.0
  BACKBONE_LR_FACTOR: 0.5
  #WEIGHT_DECAY_BIAS: 0.0
INPUT:
  FS:
    SUPPORT_WAY: 2
    SUPPORT_SHOT: 10
  MIN_SIZE_TRAIN: (440, 472, 504, 536, 568, 600) #(600,) #(640, 672, 704, 736, 768, 800)
  MAX_SIZE_TRAIN: 1000
  MIN_SIZE_TEST: 600
  MAX_SIZE_TEST: 1000
VERSION: 2