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i have the same question, it is not like the conventional yolo where the bounding box is opencv's rectangle (defined by a center and width and length), i suppose the output's dimension here is longer. How is your status, any relevant findings? |
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After executing an inference whit:
python detect.py --weights 'runs/train/yolov5m_csl_dotav1.5/weights/best.pt'
--source 'dataset/dataset_demo/images/'
--img 2048 --device 0 --conf-thres 0.25 --iou-thres 0.2 --hide-labels --hide-conf
how to get the bound box coordinates of the predictions?
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