config.yaml

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:
  - deep_globe_test
  TRAIN:
  - deep_globe_train
GLOBAL:
  HACK: 1.0
INPUT:
  COLOR_AUG_SSD: true
  CROP:
    ENABLED: true
    SINGLE_CATEGORY_MAX_AREA: 0.75
    SIZE:
    - 508
    - 508
    TYPE: absolute
  FORMAT: RGB
  MASK_FORMAT: polygon
  MAX_SIZE_TEST: 2048
  MAX_SIZE_TRAIN: 4096
  MIN_SIZE_TEST: 1024
  MIN_SIZE_TRAIN:
  - 512
  - 768
  - 1024
  - 1280
  - 1536
  - 1792
  - 2048
  MIN_SIZE_TRAIN_SAMPLING: choice
  RANDOM_FLIP: horizontal
  SIZE_DIVISIBILITY: 0
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:
    FREEZE_AT: 0
    NAME: build_resnet_deeplab_fpn_backbone
  DEVICE: cuda
  FPN:
    FUSE_TYPE: sum
    IN_FEATURES:
    - res2
    - res3
    - res4
    - res5
    NORM: ''
    OUT_CHANNELS: 256
    RETURN_INPUT_FEA: true
  KEYPOINT_ON: false
  LOAD_PROPOSALS: false
  MASK_ON: false
  META_ARCHITECTURE: SemanticSegmentor
  NATTEN_HEAD:
    COARSE_SEM_SEG_HEAD_NAME: SemSegFPNHead
    COMMON_STRIDE: 4
    EMBED_DIMS:
    - 96
    - 192
    - 384
    - 768
    IN_FEATURES:
    - res2
    - res3
    - res4
    - res5
    LOSS_TYPE: hard_pixel_mining
    LOSS_WEIGHT: 0.1
    MLP_RATIO: 1
    NUM_HEADS:
    - 3
    - 6
    - 12
    - 24
    SELF_ATTEN: true
    WINDOW_SIZE:
    - 7
    - 7
    - 7
    - 7
  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:
  - 123.675
  - 116.28
  - 103.53
  PIXEL_STD:
  - 58.395
  - 57.12
  - 57.375
  PROPOSAL_GENERATOR:
    MIN_SIZE: 0
    NAME: RPN
  RESNETS:
    DEFORM_MODULATED: false
    DEFORM_NUM_GROUPS: 1
    DEFORM_ON_PER_STAGE:
    - false
    - false
    - false
    - false
    DEPTH: 50
    NORM: SyncBN
    NUM_GROUPS: 1
    OUT_FEATURES:
    - res2
    - res3
    - res4
    - res5
    RES2_OUT_CHANNELS: 256
    RES4_DILATION: 1
    RES5_DILATION: 1
    RES5_MULTI_GRID:
    - 1
    - 2
    - 4
    STEM_OUT_CHANNELS: 128
    STEM_TYPE: deeplab
    STRIDE_IN_1X1: false
    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: 80
    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
    FED_LOSS_FREQ_WEIGHT_POWER: 0.5
    FED_LOSS_NUM_CLASSES: 50
    NAME: FastRCNNConvFCHead
    NORM: ''
    NUM_CONV: 0
    NUM_FC: 2
    POOLER_RESOLUTION: 7
    POOLER_SAMPLING_RATIO: 0
    POOLER_TYPE: ROIAlignV2
    SMOOTH_L1_BETA: 0.0
    TRAIN_ON_PRED_BOXES: false
    USE_FED_LOSS: false
    USE_SIGMOID_CE: false
  ROI_HEADS:
    BATCH_SIZE_PER_IMAGE: 512
    IN_FEATURES:
    - p2
    - p3
    - p4
    - p5
    IOU_LABELS:
    - 0
    - 1
    IOU_THRESHOLDS:
    - 0.5
    NAME: StandardROIHeads
    NMS_THRESH_TEST: 0.5
    NUM_CLASSES: 80
    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: 4
    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
    CONV_DIMS:
    - -1
    HEAD_NAME: StandardRPNHead
    IN_FEATURES:
    - p2
    - p3
    - p4
    - p5
    - p6
    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: 1000
    PRE_NMS_TOPK_TEST: 1000
    PRE_NMS_TOPK_TRAIN: 2000
    SMOOTH_L1_BETA: 0.0
  SEM_SEG_HEAD:
    ASPP_CHANNELS: 256
    ASPP_DILATIONS:
    - 6
    - 12
    - 18
    ASPP_DROPOUT: 0.1
    COMMON_STRIDE: 4
    CONCAT_INPUT: true
    CONVS_DIM: 128
    EMBED_DIMS:
    - 96
    - 192
    - 384
    - 768
    IGNORE_VALUE: 255
    IN_FEATURES:
    - p2
    - p3
    - p4
    - p5
    LOSS_TYPE: hard_pixel_mining
    LOSS_WEIGHT: 1.0
    MLP_RATIO: 1
    NAME: NattenSemSegHead
    NAT_LOSS_WEIGHT: 0.1
    NORM: GN
    NUM_CLASSES: 7
    NUM_CONVS: 2
    NUM_HEADS:
    - 3
    - 6
    - 12
    - 24
    PROJECT_CHANNELS:
    - 48
    PROJECT_FEATURES:
    - res2
    PSP_CHANNELS: 512
    PSP_POOL_SCALES:
    - 1
    - 2
    - 3
    - 6
    SIZE_DIVISIBILITY: -1
    USE_DEPTHWISE_SEPARABLE_CONV: false
    WINDOW_SIZE:
    - 7
    - 7
    - 7
    - 7
  SWIN:
    APE: false
    ATTN_DROP_RATE: 0.0
    DEPTHS:
    - 2
    - 2
    - 6
    - 2
    DROP_PATH_RATE: 0.3
    DROP_RATE: 0.0
    EMBED_DIM: 96
    MLP_RATIO: 4.0
    NUM_HEADS:
    - 3
    - 6
    - 12
    - 24
    OUT_FEATURES:
    - res2
    - res3
    - res4
    - res5
    PATCH_NORM: true
    PATCH_SIZE: 4
    PRETRAIN_IMG_SIZE: 224
    QKV_BIAS: true
    QK_SCALE: null
    USE_CHECKPOINT: false
    WINDOW_SIZE: 7
  WEIGHTS: output_deep_globe/natten_fpn_R_52_poly_3k_bs16/model_final.pth
OUTPUT_DIR: ./output_deep_globe/natten_fpn_R_52_poly_3k_bs16
SEED: -1
SOLVER:
  AMP:
    ENABLED: true
  BACKBONE_MULTIPLIER: 1.0
  BASE_LR: 0.0001
  BASE_LR_END: 0.0
  BIAS_LR_FACTOR: 1.0
  CHECKPOINT_PERIOD: 5000
  CLIP_GRADIENTS:
    CLIP_TYPE: full_model
    CLIP_VALUE: 0.01
    ENABLED: true
    NORM_TYPE: 2.0
  GAMMA: 0.1
  IMS_PER_BATCH: 16
  LR_SCHEDULER_NAME: WarmupPolyLR
  MAX_ITER: 8000
  MOMENTUM: 0.9
  NESTEROV: false
  OPTIMIZER: ADAMW
  POLY_LR_CONSTANT_ENDING: 0.0
  POLY_LR_POWER: 0.9
  REFERENCE_WORLD_SIZE: 0
  STEPS:
  - 60000
  - 80000
  WARMUP_FACTOR: 1.0
  WARMUP_ITERS: 0
  WARMUP_METHOD: linear
  WEIGHT_DECAY: 0.01
  WEIGHT_DECAY_BIAS: null
  WEIGHT_DECAY_EMBED: 0.0
  WEIGHT_DECAY_NORM: 0.0
TEST:
  AUG:
    ENABLED: false
    FLIP: true
    MAX_SIZE: 4000
    MIN_SIZES:
    - 400
    - 500
    - 600
    - 700
    - 800
    - 900
    - 1000
    - 1100
    - 1200
  DETECTIONS_PER_IMAGE: 100
  EVAL_PERIOD: 300
  EXPECTED_RESULTS: []
  KEYPOINT_OKS_SIGMAS: []
  PRECISE_BN:
    ENABLED: false
    NUM_ITER: 200
VERSION: 2
VIS_PERIOD: 0