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Related Issues (20)
- IndexError: index 2 is out of bounds for axis 2 with size 1
- same YOLOX config in mmdetection v2.25(using mmcv) and mmyolo(using mmengine), but mAP differs a lot
- 多卡训练出现RuntimeError: Expected to have finished reduction in the prior iteration before starting a new one. This error indicates that your module has parameters that were not used in producing loss. You can enable unused parameter detection by passing the keyword argument `find_unused_parameters=True` to `torch.nn.parallel.DistributedDataParallel`, and by making sure all `forward` function outputs participate in calculating loss.如何解决 HOT 1
- Update is messed up when mmyolo adds new learnable parameters for training. HOT 1
- when i use the test.py after train, it didn't work,the problem is "AssertionError" HOT 2
- 使用tools/test.py画图yolox无法显示gt的bbox
- 如何推理一张图片 HOT 15
- How to use the CBAM in yolo, could you give me an example?
- The testing results of the whole dataset is empty AND both loss_bbox and loss_dfl are 0 HOT 9
- 图片推理出的类别id如何改成类别名 HOT 2
- Slower Training Than Ultralytics HOT 1
- Reload model error from load_from
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- Doc 404 - page not found HOT 1
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- save_param_scheduler is True but self.param_schedulers is None
- support mmcv2.1.0+
- When will the YOLOv9 algorithm go live in the MMYOLO project? HOT 4
- Issue with PPYOLOE+ model output on custom YOLO5CocoDataset with custom classes
- Can't build after following instructions, "#error C++17 or later compatible compiler is required to use ATen." HOT 3
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