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MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
PROPOSAL_GENERATOR:
NAME: "CenterNet"
BACKBONE:
NAME: "build_p67_resnet_fpn_backbone"
WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
RESNETS:
DEPTH: 50
OUT_FEATURES: ["res3", "res4", "res5"]
FPN:
IN_FEATURES: ["res3", "res4", "res5"]
ROI_HEADS:
NAME: CustomCascadeROIHeads
IN_FEATURES: ["p3", "p4", "p5", "p6", "p7"]
IOU_THRESHOLDS: [0.6]
NMS_THRESH_TEST: 0.7
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
CENTERNET:
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",)
SOLVER:
IMS_PER_BATCH: 16
BASE_LR: 0.02
STEPS: (60000, 80000)
MAX_ITER: 90000
CHECKPOINT_PERIOD: 1000000000
WARMUP_ITERS: 4000
WARMUP_FACTOR: 0.00025
CLIP_GRADIENTS:
ENABLED: True
INPUT:
MIN_SIZE_TRAIN: (640, 672, 704, 736, 768, 800)
OUTPUT_DIR: "./output/CenterNet2/auto"
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