resize-error.txt

root@e6c5456fa8b4:/home/trulls/src/disco-code/points# python extract_benchmark.py

[['2020-05-25/768-depth', 504, True]]

Processing /home/trulls/imw-2020/sagrada_familia and saving to out/2020-05-25/768-depth-imsize-504-nms-5/sagrada_familia
  0%|                                                                                                                               | 0/100 [00:00<?, ?it/s]
Traceback (most recent call last):
  File "detect.py", line 144, in <module>
    described_samples = extract(extraction_method, dataset, args.h5_path)
  File "detect.py", line 101, in extract
    all_features = extraction_method(images.unsqueeze(0))[0]
  File "detect.py", line 139, in extraction_method
    return model.features(images, kind='nms')
  File "/root/.local/lib/python3.8/site-packages/torch_dimcheck/dimcheck.py", line 110, in wrapped
    result = func(*args, **kwargs)
  File "/home/trulls/src/disco-code/points/points/model/matching_model.py", line 34, in features
    features_flat     = self.desc_disco.features(bitmaps_flattened, kind=kind)
  File "/root/.local/lib/python3.8/site-packages/torch_dimcheck/dimcheck.py", line 110, in wrapped
    result = func(*args, **kwargs)
  File "/home/trulls/src/disco-code/points/points/model/desc_disco.py", line 92, in features
    percepted = self.unet(images)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 550, in __call__
    result = self.forward(*input, **kwargs)
  File "/root/.local/lib/python3.8/site-packages/torch_dimcheck/dimcheck.py", line 110, in wrapped
    result = func(*args, **kwargs)
  File "/root/.local/lib/python3.8/site-packages/unets/unet.py", line 105, in forward
    features.append(layer(features[-1]))
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 550, in __call__
    result = self.forward(*input, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 100, in forward
    input = module(input)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 550, in __call__
    result = self.forward(*input, **kwargs)
  File "/root/.local/lib/python3.8/site-packages/unets/ops.py", line 42, in forward
    raise RuntimeError(msg)
RuntimeError: Trying to downsample feature map of size torch.Size([1, 64, 63, 63])