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Hello, I am running rotated faster rcnn with detectron2 in radar dataset called radiate. radiate: https://github.com/marcelsheeny/radiate_sdk And I used this code. (https://github.com/marcelsheeny/radiate_sdk/blob/master/vehicle_detection/train.py) Also yaml file is below. (faster_rrcnn_R_50_FPN_3x.yaml) I think they called rotated rcnn to rrcnn.
BASE: "Base-RCNN-FPN.yaml" MODEL: PIXEL_MEAN: [103.530, 116.280, 123.675] # Pixel mean of imagenet dataset R/G/B? WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl" MASK_ON: False RESNETS: DEPTH: 50 PROPOSAL_GENERATOR: NAME: "RRPN" RPN: HEAD_NAME: "StandardRPNHead" BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0, 1.0) ANCHOR_GENERATOR: NAME: "RotatedAnchorGenerator" ANGLES: [[0, 30, 60, 90]] ASPECT_RATIOS: [[0.5, 1.0, 2.0]] ROI_HEADS: NAME: "RROIHeads" NUM_CLASSES: 1 # number of foreground classes ROI_BOX_HEAD: POOLER_TYPE: "ROIAlignRotated" BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0, 1.0) SOLVER: STEPS: (210000, 250000)
When inference is made based on the learning result (AP50: 23), a bounding box offset like the image below occurs.
https://user-images.githubusercontent.com/79086973/148163487-fd64186f-6949-406d-a54e-c32992b9cbfc.mp4
It was confirmed that the label of the dataset itself was well done. When running rotated rcnn on detectron2 code, is the offset reflected?
Please advise on how to solve the problem.