Closed anthonyweidai closed 3 years ago
loading annotations into memory...
Done (t=0.05s)
creating index...
index created!
Creating video index!
Loaded Custom dataset 283 samples
Starting training...
/home/mars/anaconda3/envs/trades/lib/python3.6/site-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /opt/conda/conda-bld/pytorch_1623448272031/work/c10/core/TensorImpl.h:1156.)
return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode)
Traceback (most recent call last):
File "main.py", line 101, in
This bug is in dla.py
Try to make the image size be evenly divided by 32?
What kind of function should I use? Rescale in pytorch transforms? Put it in torch.utils.data.DataLoader? I'm a newcomer in DL. I don't know much about image pre-processing. Can you give me more details about how to realise it?
I don't know why this is happening when training my own custom dataset. Could you get me some advice?