CUDNN_BENCHMARK: false
DATALOADER:
  ASPECT_RATIO_GROUPING: true
  FILTER_EMPTY_ANNOTATIONS: true
  NUM_WORKERS: 4
  REPEAT_THRESHOLD: 0.0
  SAMPLER_TRAIN: TrainingSampler
DATASETS:
  PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
  PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
  PROPOSAL_FILES_TEST: []
  PROPOSAL_FILES_TRAIN: []
  TEST:
  - aniseg
  TRAIN:
  - aniseg
GLOBAL:
  HACK: 1.0
INPUT:
  CROP:
    CROP_INSTANCE: true
    ENABLED: false
    SIZE:
    - 0.9
    - 0.9
    TYPE: relative_range
  FORMAT: BGR
  HFLIP_TRAIN: true
  MASK_FORMAT: bitmask
  MAX_SIZE_TEST: 1600
  MAX_SIZE_TRAIN: 1600
  MIN_SIZE_TEST: 800
  MIN_SIZE_TRAIN:
  - 800
  - 900
  - 1000
  - 1100
  - 1200
  - 1300
  MIN_SIZE_TRAIN_SAMPLING: choice
  RANDOM_FLIP: horizontal
MODEL:
  ANCHOR_GENERATOR:
    ANGLES:
    - - -90
      - 0
      - 90
    ASPECT_RATIOS:
    - - 0.5
      - 1.0
      - 2.0
    NAME: DefaultAnchorGenerator
    OFFSET: 0.0
    SIZES:
    - - 32
      - 64
      - 128
      - 256
      - 512
  BACKBONE:
    ANTI_ALIAS: false
    FREEZE_AT: 2
    NAME: build_resnet_fpn_backbone
  BASIS_MODULE:
    ANN_SET: coco
    COMMON_STRIDE: 8
    CONVS_DIM: 128
    IN_FEATURES:
    - p3
    - p4
    - p5
    LOSS_ON: false
    LOSS_WEIGHT: 0.3
    NAME: ProtoNet
    NORM: SyncBN
    NUM_BASES: 4
    NUM_CLASSES: 1
    NUM_CONVS: 3
  BATEXT:
    CANONICAL_SIZE: 96
    CONV_DIM: 256
    IN_FEATURES:
    - p2
    - p3
    - p4
    NUM_CHARS: 25
    NUM_CONV: 2
    POOLER_RESOLUTION:
    - 8
    - 32
    POOLER_SCALES:
    - 0.25
    - 0.125
    - 0.0625
    RECOGNITION_LOSS: ctc
    RECOGNIZER: attn
    SAMPLING_RATIO: 1
    VOC_SIZE: 96
  BLENDMASK:
    ATTN_SIZE: 14
    BOTTOM_RESOLUTION: 56
    INSTANCE_LOSS_WEIGHT: 1.0
    POOLER_SAMPLING_RATIO: 1
    POOLER_SCALES:
    - 0.25
    POOLER_TYPE: ROIAlignV2
    TOP_INTERP: bilinear
    VISUALIZE: false
  BiFPN:
    IN_FEATURES:
    - res2
    - res3
    - res4
    - res5
    NORM: ''
    NUM_REPEATS: 6
    OUT_CHANNELS: 160
  CONDINST:
    MASK_BRANCH:
      CHANNELS: 128
      IN_FEATURES:
      - p3
      - p4
      - p5
      NORM: BN
      NUM_CONVS: 4
      OUT_CHANNELS: 8
      SEMANTIC_LOSS_ON: false
    MASK_HEAD:
      CHANNELS: 8
      DISABLE_REL_COORDS: false
      NUM_LAYERS: 3
      USE_FP16: false
    MASK_OUT_STRIDE: 4
    MAX_PROPOSALS: -1
  DEVICE: cuda
  DLA:
    CONV_BODY: DLA34
    NORM: FrozenBN
    OUT_FEATURES:
    - stage2
    - stage3
    - stage4
    - stage5
  FCOS:
    CENTER_SAMPLE: true
    FPN_STRIDES:
    - 8
    - 16
    - 32
    - 64
    - 128
    INFERENCE_TH_TEST: 0.05
    INFERENCE_TH_TRAIN: 0.05
    IN_FEATURES:
    - p3
    - p4
    - p5
    - p6
    - p7
    LOC_LOSS_TYPE: giou
    LOSS_ALPHA: 0.25
    LOSS_GAMMA: 2.0
    NMS_TH: 0.6
    NORM: GN
    NUM_BOX_CONVS: 4
    NUM_CLASSES: 1
    NUM_CLS_CONVS: 4
    NUM_SHARE_CONVS: 0
    POST_NMS_TOPK_TEST: 100
    POST_NMS_TOPK_TRAIN: 100
    POS_RADIUS: 1.5
    PRE_NMS_TOPK_TEST: 1000
    PRE_NMS_TOPK_TRAIN: 1000
    PRIOR_PROB: 0.01
    SIZES_OF_INTEREST:
    - 64
    - 128
    - 256
    - 512
    THRESH_WITH_CTR: false
    TOP_LEVELS: 2
    USE_DEFORMABLE: false
    USE_RELU: true
    USE_SCALE: true
    YIELD_PROPOSAL: false
  FPN:
    FUSE_TYPE: sum
    IN_FEATURES:
    - res2
    - res3
    - res4
    - res5
    NORM: ''
    OUT_CHANNELS: 256
  KEYPOINT_ON: false
  LOAD_PROPOSALS: false
  MASK_ON: true
  MEInst:
    AGNOSTIC: true
    CENTER_SAMPLE: true
    DIM_MASK: 60
    FLAG_PARAMETERS: false
    FPN_STRIDES:
    - 8
    - 16
    - 32
    - 64
    - 128
    GCN_KERNEL_SIZE: 9
    INFERENCE_TH_TEST: 0.05
    INFERENCE_TH_TRAIN: 0.05
    IN_FEATURES:
    - p3
    - p4
    - p5
    - p6
    - p7
    IOU_LABELS:
    - 0
    - 1
    IOU_THRESHOLDS:
    - 0.5
    LAST_DEFORMABLE: false
    LOC_LOSS_TYPE: giou
    LOSS_ALPHA: 0.25
    LOSS_GAMMA: 2.0
    LOSS_ON_MASK: false
    MASK_LOSS_TYPE: mse
    MASK_ON: true
    MASK_SIZE: 28
    NMS_TH: 0.6
    NORM: GN
    NUM_BOX_CONVS: 4
    NUM_CLASSES: 1
    NUM_CLS_CONVS: 4
    NUM_MASK_CONVS: 4
    NUM_SHARE_CONVS: 0
    PATH_COMPONENTS: datasets/coco/components/coco_2017_train_class_agnosticTrue_whitenTrue_sigmoidTrue_60.npz
    POST_NMS_TOPK_TEST: 100
    POST_NMS_TOPK_TRAIN: 100
    POS_RADIUS: 1.5
    PRE_NMS_TOPK_TEST: 1000
    PRE_NMS_TOPK_TRAIN: 1000
    PRIOR_PROB: 0.01
    SIGMOID: true
    SIZES_OF_INTEREST:
    - 64
    - 128
    - 256
    - 512
    THRESH_WITH_CTR: false
    TOP_LEVELS: 2
    TYPE_DEFORMABLE: DCNv1
    USE_DEFORMABLE: false
    USE_GCN_IN_MASK: false
    USE_RELU: true
    USE_SCALE: true
    WHITEN: true
  META_ARCHITECTURE: SOLOv2
  MOBILENET: false
  PANOPTIC_FPN:
    COMBINE:
      ENABLED: true
      INSTANCES_CONFIDENCE_THRESH: 0.5
      OVERLAP_THRESH: 0.5
      STUFF_AREA_LIMIT: 4096
    INSTANCE_LOSS_WEIGHT: 1.0
  PIXEL_MEAN:
  - 103.53
  - 116.28
  - 123.675
  PIXEL_STD:
  - 1.0
  - 1.0
  - 1.0
  PROPOSAL_GENERATOR:
    MIN_SIZE: 0
    NAME: RPN
  RESNETS:
    DEFORM_INTERVAL: 1
    DEFORM_MODULATED: false
    DEFORM_NUM_GROUPS: 1
    DEFORM_ON_PER_STAGE:
    - false
    - false
    - false
    - false
    DEPTH: 101
    NORM: FrozenBN
    NUM_GROUPS: 1
    OUT_FEATURES:
    - res2
    - res3
    - res4
    - res5
    RES2_OUT_CHANNELS: 256
    RES5_DILATION: 1
    STEM_OUT_CHANNELS: 64
    STRIDE_IN_1X1: true
    WIDTH_PER_GROUP: 64
  RETINANET:
    BBOX_REG_LOSS_TYPE: smooth_l1
    BBOX_REG_WEIGHTS:
    - 1.0
    - 1.0
    - 1.0
    - 1.0
    FOCAL_LOSS_ALPHA: 0.25
    FOCAL_LOSS_GAMMA: 2.0
    IN_FEATURES:
    - p3
    - p4
    - p5
    - p6
    - p7
    IOU_LABELS:
    - 0
    - -1
    - 1
    IOU_THRESHOLDS:
    - 0.4
    - 0.5
    NMS_THRESH_TEST: 0.5
    NORM: ''
    NUM_CLASSES: 1
    NUM_CONVS: 4
    PRIOR_PROB: 0.01
    SCORE_THRESH_TEST: 0.05
    SMOOTH_L1_LOSS_BETA: 0.1
    TOPK_CANDIDATES_TEST: 1000
  ROI_BOX_CASCADE_HEAD:
    BBOX_REG_WEIGHTS:
    - - 10.0
      - 10.0
      - 5.0
      - 5.0
    - - 20.0
      - 20.0
      - 10.0
      - 10.0
    - - 30.0
      - 30.0
      - 15.0
      - 15.0
    IOUS:
    - 0.5
    - 0.6
    - 0.7
  ROI_BOX_HEAD:
    BBOX_REG_LOSS_TYPE: smooth_l1
    BBOX_REG_LOSS_WEIGHT: 1.0
    BBOX_REG_WEIGHTS:
    - 10.0
    - 10.0
    - 5.0
    - 5.0
    CLS_AGNOSTIC_BBOX_REG: false
    CONV_DIM: 256
    FC_DIM: 1024
    NAME: ''
    NORM: ''
    NUM_CONV: 0
    NUM_FC: 0
    POOLER_RESOLUTION: 14
    POOLER_SAMPLING_RATIO: 0
    POOLER_TYPE: ROIAlignV2
    SMOOTH_L1_BETA: 0.0
    TRAIN_ON_PRED_BOXES: false
  ROI_HEADS:
    BATCH_SIZE_PER_IMAGE: 512
    IN_FEATURES:
    - res4
    IOU_LABELS:
    - 0
    - 1
    IOU_THRESHOLDS:
    - 0.5
    NAME: Res5ROIHeads
    NMS_THRESH_TEST: 0.5
    NUM_CLASSES: 1
    POSITIVE_FRACTION: 0.25
    PROPOSAL_APPEND_GT: true
    SCORE_THRESH_TEST: 0.05
  ROI_KEYPOINT_HEAD:
    CONV_DIMS:
    - 512
    - 512
    - 512
    - 512
    - 512
    - 512
    - 512
    - 512
    LOSS_WEIGHT: 1.0
    MIN_KEYPOINTS_PER_IMAGE: 1
    NAME: KRCNNConvDeconvUpsampleHead
    NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true
    NUM_KEYPOINTS: 17
    POOLER_RESOLUTION: 14
    POOLER_SAMPLING_RATIO: 0
    POOLER_TYPE: ROIAlignV2
  ROI_MASK_HEAD:
    CLS_AGNOSTIC_MASK: false
    CONV_DIM: 256
    NAME: MaskRCNNConvUpsampleHead
    NORM: ''
    NUM_CONV: 0
    POOLER_RESOLUTION: 14
    POOLER_SAMPLING_RATIO: 0
    POOLER_TYPE: ROIAlignV2
  RPN:
    BATCH_SIZE_PER_IMAGE: 256
    BBOX_REG_LOSS_TYPE: smooth_l1
    BBOX_REG_LOSS_WEIGHT: 1.0
    BBOX_REG_WEIGHTS:
    - 1.0
    - 1.0
    - 1.0
    - 1.0
    BOUNDARY_THRESH: -1
    HEAD_NAME: StandardRPNHead
    IN_FEATURES:
    - res4
    IOU_LABELS:
    - 0
    - -1
    - 1
    IOU_THRESHOLDS:
    - 0.3
    - 0.7
    LOSS_WEIGHT: 1.0
    NMS_THRESH: 0.7
    POSITIVE_FRACTION: 0.5
    POST_NMS_TOPK_TEST: 1000
    POST_NMS_TOPK_TRAIN: 2000
    PRE_NMS_TOPK_TEST: 6000
    PRE_NMS_TOPK_TRAIN: 12000
    SMOOTH_L1_BETA: 0.0
  SEM_SEG_HEAD:
    COMMON_STRIDE: 4
    CONVS_DIM: 128
    IGNORE_VALUE: 255
    IN_FEATURES:
    - p2
    - p3
    - p4
    - p5
    LOSS_WEIGHT: 1.0
    NAME: SemSegFPNHead
    NORM: GN
    NUM_CLASSES: 1
  SOLOV2:
    FPN_INSTANCE_STRIDES:
    - 8
    - 8
    - 16
    - 32
    - 32
    FPN_SCALE_RANGES:
    - - 1
      - 96
    - - 48
      - 192
    - - 96
      - 384
    - - 192
      - 768
    - - 384
      - 2048
    INSTANCE_CHANNELS: 512
    INSTANCE_IN_CHANNELS: 256
    INSTANCE_IN_FEATURES:
    - p2
    - p3
    - p4
    - p5
    - p6
    LOSS:
      DICE_WEIGHT: 3.0
      FOCAL_ALPHA: 0.25
      FOCAL_GAMMA: 2.0
      FOCAL_USE_SIGMOID: true
      FOCAL_WEIGHT: 1.0
    MASK_CHANNELS: 128
    MASK_IN_CHANNELS: 256
    MASK_IN_FEATURES:
    - p2
    - p3
    - p4
    - p5
    MASK_THR: 0.5
    MAX_PER_IMG: 100
    NMS_KERNEL: gaussian
    NMS_PRE: 500
    NMS_SIGMA: 2
    NMS_TYPE: mask
    NORM: GN
    NUM_CLASSES: 1
    NUM_GRIDS:
    - 40
    - 36
    - 24
    - 16
    - 12
    NUM_INSTANCE_CONVS: 4
    NUM_KERNELS: 256
    NUM_MASKS: 256
    PRIOR_PROB: 0.01
    SCORE_THR: 0.1
    SIGMA: 0.2
    TYPE_DCN: DCN
    UPDATE_THR: 0.05
    USE_COORD_CONV: true
    USE_DCN_IN_INSTANCE: false
  TOP_MODULE:
    DIM: 16
    NAME: conv
  VOVNET:
    BACKBONE_OUT_CHANNELS: 256
    CONV_BODY: V-39-eSE
    NORM: FrozenBN
    OUT_CHANNELS: 256
    OUT_FEATURES:
    - stage2
    - stage3
    - stage4
    - stage5
  WEIGHTS: /content/AdelaiDet/SOLOv2_R101_3x.pth
OUTPUT_DIR: /content/result
SEED: -1
SOLVER:
  AMP:
    ENABLED: false
  BASE_LR: 0.001
  BIAS_LR_FACTOR: 1.0
  CHECKPOINT_PERIOD: 5000
  CLIP_GRADIENTS:
    CLIP_TYPE: value
    CLIP_VALUE: 1.0
    ENABLED: false
    NORM_TYPE: 2.0
  GAMMA: 0.1
  IMS_PER_BATCH: 4
  LR_SCHEDULER_NAME: WarmupMultiStepLR
  MAX_ITER: 30000
  MOMENTUM: 0.9
  NESTEROV: false
  REFERENCE_WORLD_SIZE: 0
  STEPS:
  - 23000
  - 27000
  WARMUP_FACTOR: 0.01
  WARMUP_ITERS: 1000
  WARMUP_METHOD: linear
  WEIGHT_DECAY: 0.0001
  WEIGHT_DECAY_BIAS: 0.0001
  WEIGHT_DECAY_NORM: 0.0
TEST:
  AUG:
    ENABLED: true
    FLIP: true
    MAX_SIZE: 4000
    MIN_SIZES:
    - 800
    - 900
    - 1000
    - 1100
    - 1200
    - 1300
  DETECTIONS_PER_IMAGE: 100
  EVAL_PERIOD: 0
  EXPECTED_RESULTS: []
  KEYPOINT_OKS_SIGMAS: []
  PRECISE_BN:
    ENABLED: false
    NUM_ITER: 200
VERSION: 2
VIS_PERIOD: 0