ValueError: not enough values to unpack (expected 2, got 1)：————out, train_out = model(im) if compute_loss else (model(im, augment=augment), None) about yolov5 HOT 4 CLOSED

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Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

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Status

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I changed the return value of forword method of the Detect class in yolo.py with a little change：
turn return x if self.training else (torch.cat(z, 1),) if self.export else (torch.cat(z, 1), x) into return x if self.training else (torch.cat(z, 1),x) if self.export else (torch.cat(z, 1), x)
That's okay, but I'm not quite sure if I'm correctly modifying it

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@jianbaiwuqing I've removed the --train argument from export.py to avoid confusion in #9429

In general all exports are intended for inference-only deployments, so I think this will make things simpler for users.

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