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ariangilesgarcia avatar ariangilesgarcia commented on July 30, 2024

Ok sorry for leaving an issue before trying everything I could to fix it.
I don't use torch so I had no idea what to do, but here's how I fixed it just in case.

On data_augment.py I had to chage return torch.Tensor(img) to return torch.FloatTensor(img).

Then an error appear saying it was expecting a CPU tensor and got a CUDA tensor instead, so I had to add .cuda() to the input variables (I don't know if there is another way to do it, I don't really know how to use pytorch yet). For example, changing x = Variable(transform(img).unsqueeze(0)) to x = Variable(transform(img).unsqueeze(0).cuda())

Again, sorry for the issue!

from ssd.pytorch.

amdegroot avatar amdegroot commented on July 30, 2024

Ah, thanks for pointing that out, it must only be the case on GPU. For some reason I was using torch.Tensor() instead of torch.from_numpy() in data_augment.py. It should all be fixed now. Feel free to send a Pull Request if you find any other errors!

from ssd.pytorch.

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