abeardear / pytorch-YOLO-v1

an experiment for yolo-v1, including training and testing.

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prediction problem

vcvishal opened this issue · comments

when i tried to predict this error occurred

load model...
predicting...
predict.py:143: UserWarning: volatile was removed and now has no effect. Use with torch.no_grad(): instead.
img = Variable(img[None,:,:,:],volatile=True)
D:\miniconda\lib\site-packages\torch\nn\functional.py:1332: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
Traceback (most recent call last):
File "predict.py", line 174, in
result = predict_gpu(model,image_name)
File "predict.py", line 148, in predict_gpu
boxes,cls_indexs,probs = decoder(pred)
File "predict.py", line 89, in decoder
cls_indexs = torch.cat(cls_indexs,0) #(n,)
RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated

please guide
thank you

Hi,I met the same problem,have you solve it?

@JianJiaCheng Try to use torch.stack() instead.

@vcvishal @JianJiaCheng
add: cls_indexs = [item.unsqueeze(0) for item in cls_indexs]
before : cls_indexs = torch.cat(cls_indexs,0)