Closed chaossshan closed 7 months ago
It seems that the input size matters. I don't have large GPUs on hand, I juts tested with 160*160 cropped input, and there's no problem.
I think resizing the image may help with various inputs.
The code for crop(in 160*160 test) is here: https://github.com/GeoVectorMatrix/Dif-Fusion/blob/2e7b4fcda579fa0008ef7db45857d418c35fa25c/data/VIDataset.py#L60
when i run pretrained model, this problem occur: x = layer(torch.cat((x, feats.pop()), dim=1), t) RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 36 but got size 35 for tensor number 1 in the list.
i guess this probably the problem of the config in fusion_test.json, but I don't know which one exactly(channels?)