Related Issues (20)
- may I know how you handle Crowd labels in coco?, thanks
- Issue with reported confidence level of the single-cls scaled yolov4 csp implementation
- single GPU in training HOT 4
- RuntimeError: result type Float can't be cast to the desired output type long int HOT 2
- Fail to transfer .pt into .onnx
- Question about the loss function
- how to train the trick to achive goals?
- YOLOv4-P6 convert torch .pt to darknet .weights
- Train.py runtime error, Float can't be cast to the desired output type long int HOT 1
- wrong calculation of map
- Pretrained checkpoints?
- The fps of YOLOV4-CSP?
- why mish-cuda?
- When I run the test.py in docker, one issue appeared. HOT 2
- Could not download models
- Could not download pretrained models such as yolov4-p5.pt,yolov4-p6.pt,yolov4-p7.pt file
- I Could not download pretrained models such as yolov4-p5.pt,yolov4-p6.pt,yolov4-p7.pt file. Could you please help me.
- Error while training the yolov7 model _pickle.UnpicklingError: STACK_GLOBAL requires str HOT 2
- Looking for yolov4 weights HOT 2
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