dota-1.0_r101_ms.yaml

CUDNN_BENCHMARK: false
DATALOADER:
  ASPECT_RATIO_GROUPING: false
  FILTER_EMPTY_ANNOTATIONS: true
  NUM_WORKERS: 4
  REPEAT_THRESHOLD: 0.2
  SAMPLER_TRAIN: RepeatFactorTrainingSampler
DATASETS:
  DOTA_REMOVE_CONTAINER_CRANE: false
  PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
  PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
  PROPOSAL_FILES_TEST: []
  PROPOSAL_FILES_TRAIN: []
  TEST:
  - dota_1_test_1024
  TRAIN:
  - dota_1_train_600
  - dota_1_train_800
  - dota_1_train_1024
  - dota_1_train_1300
  - dota_1_train_1600
  - dota_1_val_600
  - dota_1_val_800
  - dota_1_val_1024
  - dota_1_val_1300
  - dota_1_val_1600
DEBUG:
  OVERFIT_NUM_IMAGES: -1
EXPERIMENT_NAME: r101-full-with-arf-ms-train
GLOBAL:
  HACK: 1.0
INPUT:
  CROP:
    ENABLED: false
    SIZE:
    - 0.9
    - 0.9
    TYPE: relative_range
  FORMAT: BGR
  HFLIP_TRAIN: true
  MASK_FORMAT: polygon
  MAX_SIZE_TEST: 1024
  MAX_SIZE_TRAIN: 1200
  MIN_AREA: 0
  MIN_SIDE: 0
  MIN_SIZE_TEST: 1024
  MIN_SIZE_TRAIN:
  - 450
  - 500
  - 600
  - 700
  - 800
  - 900
  - 1000
  - 1100
  - 1200
  MIN_SIZE_TRAIN_SAMPLING: choice
  RANDOM_FLIP: horizontal
  RESIZE_HEIGHT_TEST: 0
  RESIZE_HEIGHT_TRAIN: 0
  RESIZE_TYPE: shortest-edge
  RESIZE_WIDTH_TEST: 0
  RESIZE_WIDTH_TRAIN: 0
  ROTATION_AUG_ANGLES:
  - 0.0
  - 90.0
  - 180.0
  - 270.0
  ROTATION_AUG_SAMPLE_STYLE: choice
  USE_COLOR_AUGMENTATIONS: false
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_dafne_resnet_fpn_backbone
  DAFNE:
    CENTERNESS: oriented
    CENTERNESS_ALPHA: 3
    CENTERNESS_USE_IN_SCORE: true
    CENTER_SAMPLE: true
    CENTER_SAMPLE_ONLY: false
    COMBINE_CENTER_SAMPLE: true
    CORNER_PREDICTION: center-to-corner
    CORNER_TOWER_ON_CENTER_TOWER: true
    CTR_ON_REG: true
    ENABLE_FPN_STRIDE_NORM: true
    ENABLE_IN_BOX_CHECK: true
    ENABLE_LEVEL_SIZE_FILTERING: true
    ENABLE_LOSS_LOG: true
    ENABLE_LOSS_MODULATION: 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: smoothl1
    LOSS_ALPHA: 0.25
    LOSS_GAMMA: 2.0
    LOSS_LAMBDA:
      BOX: 1.0
      CENTER: 1.0
      CLS: 10.0
      CORNERS: 1.0
      CTR: 1.0
      LTRB: 1.0
    LOSS_LAMBDA_NORM: true
    LOSS_SMOOTH_L1_BETA: 0.1111111111111111
    MERGE_CORNER_CENTER_PRED: false
    NMS_TH: 0.1
    NORM: GN
    NUM_BOX_CONVS: 4
    NUM_CLASSES: 15
    NUM_CLS_CONVS: 4
    NUM_SHARE_CONVS: 0
    POST_NMS_TOPK_TEST: 1000
    POST_NMS_TOPK_TRAIN: 1000
    POS_RADIUS: 2.0
    PRE_NMS_TOPK_TEST: 2000
    PRE_NMS_TOPK_TRAIN: 2000
    PRIOR_PROB: 0.01
    SIZES_OF_INTEREST:
    - 64
    - 128
    - 256
    - 512
    SORT_CORNERS: true
    SORT_CORNERS_DATALOADER: true
    THRESH_WITH_CTR: true
    TOP_LEVELS: 2
    USE_DEFORMABLE: false
    USE_RELU: true
    USE_SCALE: true
    YIELD_PROPOSAL: false
  DEVICE: cuda
  DLA:
    CONV_BODY: DLA34
    NORM: BN
  FPN:
    FUSE_TYPE: sum
    IN_FEATURES:
    - res3
    - res4
    - res5
    NORM: ''
    OUT_CHANNELS: 256
  KEYPOINT_ON: false
  LOAD_PROPOSALS: false
  MASK_ON: false
  META_ARCHITECTURE: OneStageDetector
  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:
  - 123.675
  - 116.28
  - 103.53
  PIXEL_STD:
  - 1.0
  - 1.0
  - 1.0
  PROPOSAL_GENERATOR:
    MIN_SIZE: 0
    NAME: DAFNe
  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:
    - 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: &id002
    - 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:
    - &id001
      - 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: *id001
    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: 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: 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: *id002
    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: 54
  TOP_MODULE:
    DIM: 16
    NAME: ''
  WEIGHTS: detectron2://ImageNetPretrained/MSRA/R-101.pkl
OUTPUT_DIR: /app/results/rafos/21-04-19_11:56_r101-full-with-arf-ms-train
SEED: -1
SOLVER:
  AMP:
    ENABLED: false
  BASE_LR: 0.01
  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: 8
  LR_SCHEDULER_NAME: WarmupMultiStepLR
  MAX_ITER: 270000
  MOMENTUM: 0.9
  NESTEROV: false
  OPTIMIZER: sgd
  REFERENCE_WORLD_SIZE: 4
  STEPS:
  - 160000
  - 240000
  WARMUP_FACTOR: 0.1
  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
    HFLIP: true
    MAX_SIZE: 1200
    MIN_SIZES:
    - 450
    - 500
    - 600
    - 700
    - 800
    - 900
    - 1000
    - 1100
    - 1200
    ROTATION_ANGLES: []
    VFLIP: true
  DETECTIONS_PER_IMAGE: 2000
  EVAL_PERIOD: 0
  EXPECTED_RESULTS: []
  IOU_TH: 0.5
  KEYPOINT_OKS_SIGMAS: []
  NUM_PRED_VIS: 20
  PRECISE_BN:
    ENABLED: false
    NUM_ITER: 200
VERSION: 2
VIS_PERIOD: 0