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File size: 1,613 Bytes
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OUTPUT_DIR: "./output/ctw/"
MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50"
BACKBONE:
CONV_BODY: "R-50-FPN"
RESNETS:
BACKBONE_OUT_CHANNELS: 256
RPN:
USE_FPN: True
ANCHOR_STRIDE: (4, 8, 16, 32, 64)
ASPECT_RATIOS: (0.25, 0.5, 1.0, 2.0, 4.0)
ROI_HEADS:
USE_FPN: True
SCORE_THRESH: 0.85
NMS: 0.3
ROI_BOX_HEAD:
DEFORMABLE_POOLING: False
POOLER_RESOLUTION: 7
POOLER_SCALES: (0.25, 0.125, 0.0625, 0.03125)
POOLER_SAMPLING_RATIO: 2
FEATURE_EXTRACTOR: "FPN2MLPFeatureExtractor"
PREDICTOR: "FPNPredictor"
NUM_CLASSES: 2
CLASS_WEIGHT: 1.0
## Boundary
BOUNDARY_ON: True
ROI_BOUNDARY_HEAD:
DEFORMABLE_POOLING: True
FEATURE_EXTRACTOR: "BoundaryRCNNFPNFeatureExtractor"
POOLER_RESOLUTION: 14
POOLER_SCALES: (0.25, 0.125, 0.0625, 0.03125)
POOLER_SAMPLING_RATIO: 2
PREDICTOR: "BoundaryRCNNC4Predictor"
RESOLUTION: 48
SHARE_BOX_FEATURE_EXTRACTOR: False
BO_WEIGHT: 0.1
Loss_balance: 1.1
PROCESS:
PNMS: True
NMS_THRESH: 0.25
DATASETS:
TRAIN: ("CTW1500_train",)
TEST: ("CTW1500_test",)
Test_Visual: True
DATALOADER:
SIZE_DIVISIBILITY: 32
SOLVER:
BASE_LR: 0.0025
BIAS_LR_FACTOR: 2
WEIGHT_DECAY: 0.0001
STEPS: (30000, 40000)
MAX_ITER: 45000
IMS_PER_BATCH: 1
CHECKPOINT_PERIOD: 1000
INPUT:
MIN_SIZE_TRAIN: (400,600,720,1000,1200)
MAX_SIZE_TRAIN: 2000
MIN_SIZE_TEST: 720
MAX_SIZE_TEST: 1280
CROP_PROB_TRAIN: 1.0
ROTATE_PROB_TRAIN: 0.0
ROTATE_DEGREE: (0,30,60,90,210,150,180,210,240,270,300,330,360)
TEST:
IMS_PER_BATCH: 1
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