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MODEL:
META_ARCHITECTURE: "GRiT"
MASK_ON: True
PROPOSAL_GENERATOR:
NAME: "CenterNet"
FPN:
IN_FEATURES: ["layer3", "layer4", "layer5"]
PIXEL_MEAN: [123.675, 116.280, 103.530]
PIXEL_STD: [58.395, 57.12, 57.375]
ROI_HEADS:
NAME: GRiTROIHeadsAndTextDecoder
IN_FEATURES: ["p3", "p4", "p5"]
IOU_THRESHOLDS: [0.6]
NUM_CLASSES: 1
SCORE_THRESH_TEST: 0.02
NMS_THRESH_TEST: 0.5
OBJECT_FEAT_POOLER_RES: 14
ROI_BOX_CASCADE_HEAD:
IOUS: [0.6, 0.7, 0.8]
ROI_BOX_HEAD:
NAME: "FastRCNNConvFCHead"
NUM_FC: 2
POOLER_RESOLUTION: 7
CLS_AGNOSTIC_BBOX_REG: True
MULT_PROPOSAL_SCORE: True
ROI_MASK_HEAD:
NAME: "MaskRCNNConvUpsampleHead"
NUM_CONV: 4
POOLER_RESOLUTION: 14
CLS_AGNOSTIC_MASK: True
CENTERNET:
NUM_CLASSES: 1
REG_WEIGHT: 1.
NOT_NORM_REG: True
ONLY_PROPOSAL: True
WITH_AGN_HM: True
INFERENCE_TH: 0.0001
PRE_NMS_TOPK_TRAIN: 4000
POST_NMS_TOPK_TRAIN: 2000
PRE_NMS_TOPK_TEST: 1000
POST_NMS_TOPK_TEST: 256
NMS_TH_TRAIN: 0.9
NMS_TH_TEST: 0.9
POS_WEIGHT: 0.5
NEG_WEIGHT: 0.5
IGNORE_HIGH_FP: 0.85
DATASETS:
TRAIN: ("coco_2017_train",)
TEST: ("coco_2017_val",)
DATALOADER:
SAMPLER_TRAIN: "MultiDatasetSampler"
DATASET_RATIO: [1]
DATASET_INPUT_SIZE: [1024]
DATASET_INPUT_SCALE: [[0.1, 2.0]]
FILTER_EMPTY_ANNOTATIONS: False
NUM_WORKERS: 8
TEST:
DETECTIONS_PER_IMAGE: 256
SOLVER:
LR_SCHEDULER_NAME: "WarmupCosineLR"
CHECKPOINT_PERIOD: 10000
WARMUP_ITERS: 1000
WARMUP_FACTOR: 0.001
USE_CUSTOM_SOLVER: True
OPTIMIZER: "ADAMW"
MAX_ITER: 180000
IMS_PER_BATCH: 64
BASE_LR: 0.00008
VIT_LAYER_DECAY: True
CLIP_GRADIENTS:
ENABLED: True
INPUT:
FORMAT: RGB
CUSTOM_AUG: EfficientDetResizeCrop
TRAIN_SIZE: 640
USE_ACT_CHECKPOINT: True
VERSION: 2 |