使用自己数据集时遇到的问题

[w199809]

你好，我自己在yolov7上训练了数据集，我更换了模型和视频后，报这个错

Fusing layers... D:\Can\anac_install\envs\torch_can\lib\site-packages\torch\functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\TensorShape.cpp:2895.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] D:\Can\anac_install\envs\torch_can\lib\site-packages\torch_tensor.py:1083: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at C:\cb\pytorch_1000000000000\work\build\aten\src\ATen/core/TensorBody.h:482.) return self._grad 0.5 30 0.8 False 25 Traceback (most recent call last): File "D:/wbw/Bytetrack_yolov7-master/track_demo.py", line 88, in track_demo() File "D:/wbw/Bytetrack_yolov7-master/track_demo.py", line 58, in track_demo online_targets = tracker.update(np.array(dets), [height, width], (height, width)) File "D:\wbw\Bytetrack_yolov7-master\tracker\byte_tracker.py", line 169, in update if output_results.shape[1] == 5: IndexError: tuple index out of range

Process finished with exit code 1 请问你知道这是怎么回事吗 谢谢

[w199809]

我没有改inference.py文件中的类别 改成我自己的类别就好了

[CompliceU]

好的

------------------ 原始邮件 ------------------ 发件人: "CompliceU/Bytetrack_yolov7" @.>; 发送时间: 2023年1月3日(星期二) 下午4:09 @.>; @.***>; 主题: Re: [CompliceU/Bytetrack_yolov7] 使用自己数据集时遇到的问题 (Issue #3)

我没有改inference.py文件中的类别 改成我自己的类别就好了

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