SAI-training / configs / mask_rcnn_arabidopsis.yaml
mask_rcnn_arabidopsis.yaml
Raw
_BASE_: "Base-RCNN-FPN.yaml"
MODEL:
  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
  MASK_ON: True
  KEYPOINT_ON: True
  RESNETS:
    DEPTH: 50
  ROI_HEADS:
    NAME: "KPROIHeads"
    NUM_CLASSES: 2
  ROI_KEYPOINT_HEAD:
    NAME: "KRCNNConvHead"
    NUM_KEYPOINTS: 2
    POOLER_RESOLUTION: (56, 112)
    CONV_DIMS: (256, 256, 256, 256, 256, 256, 256, 256)
  ROI_MASK_HEAD:
    POOLER_RESOLUTION: 56
DATASETS:
  TRAIN: ("stoma_train",)
  TEST: ("stoma_val",)
TEST:
  EVAL_PERIOD: 5000
  KEYPOINT_OKS_SIGMAS: [0.02, 0.02]
SOLVER:
  WARMUP_ITERS: 7500
  IMS_PER_BATCH: 2
  MAX_ITER: 90000
INPUT:
  MIN_SIZE_TRAIN: (320, 1944)
  MIN_SIZE_TEST: 0
  MAX_SIZE_TRAIN: 3000
  MAX_SIZE_TEST: 3000