facebookresearch / robust_cvd

Robust Consistent Video Depth Estimation

Home Page:https://robust-cvd.github.io/

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HTTPError

kkennethwu opened this issue · comments

Fine-tuning directory: '/content/family_run_output/R0-10_hierarchical2_midas2/StD100.0_StR1.0_SmD0_SmR0.0'
Loading weights: models/midas_v21-f6b98070.pt
Downloading: "https://github.com/facebookresearch/WSL-Images/archive/master.zip" to /root/.cache/torch/hub/master.zip
Traceback (most recent call last):
File "main.py", line 20, in
dp.process()
File "/content/cvd2/process.py", line 234, in process
return self.pipeline()
File "/content/cvd2/process.py", line 170, in pipeline
initial_depth_dir = self.compute_initial_depth()
File "/content/cvd2/process.py", line 120, in compute_initial_depth
self.out_dir, frames=None, base_dir=self.path, params=self.params
File "/content/cvd2/depth_fine_tuning.py", line 223, in init
self.model = model()
File "/content/cvd2/monodepth/midas_v2_model.py", line 33, in init
self.model = MidasNet(model_file, non_negative=True)
File "/content/cvd2/monodepth/midas_v2/midas_net.py", line 28, in init
self.pretrained, self.scratch = _make_encoder(features, use_pretrained_resnext)
File "/content/cvd2/monodepth/midas_v2/blocks.py", line 13, in _make_encoder
pretrained = _make_pretrained_resnext101_wsl(use_pretrained)
File "/content/cvd2/monodepth/midas_v2/blocks.py", line 32, in _make_pretrained_resnext101_wsl
resnet = torch.hub.load("facebookresearch/WSL-Images", "resnext101_32x8d_wsl")
File "/usr/local/lib/python3.6/site-packages/torch/hub.py", line 337, in load
repo_or_dir = _get_cache_or_reload(repo_or_dir, force_reload, verbose)
File "/usr/local/lib/python3.6/site-packages/torch/hub.py", line 144, in _get_cache_or_reload
download_url_to_file(url, cached_file, progress=False)
File "/usr/local/lib/python3.6/site-packages/torch/hub.py", line 394, in download_url_to_file
u = urlopen(req)
File "/usr/local/lib/python3.6/urllib/request.py", line 223, in urlopen
return opener.open(url, data, timeout)
File "/usr/local/lib/python3.6/urllib/request.py", line 532, in open
response = meth(req, response)
File "/usr/local/lib/python3.6/urllib/request.py", line 642, in http_response
'http', request, response, code, msg, hdrs)
File "/usr/local/lib/python3.6/urllib/request.py", line 564, in error
result = self._call_chain(*args)
File "/usr/local/lib/python3.6/urllib/request.py", line 504, in _call_chain
result = func(*args)
File "/usr/local/lib/python3.6/urllib/request.py", line 756, in http_error_302
return self.parent.open(new, timeout=req.timeout)
File "/usr/local/lib/python3.6/urllib/request.py", line 532, in open
response = meth(req, response)
File "/usr/local/lib/python3.6/urllib/request.py", line 642, in http_response
'http', request, response, code, msg, hdrs)
File "/usr/local/lib/python3.6/urllib/request.py", line 570, in error
return self._call_chain(*args)
File "/usr/local/lib/python3.6/urllib/request.py", line 504, in _call_chain
result = func(*args)
File "/usr/local/lib/python3.6/urllib/request.py", line 650, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 404: Not Found

Duplicate #23

https://stackoverflow.com/a/69349309
in blocks.py replace
resnet = torch.hub.load("facebookresearch/WSL-Images", "resnext101_32x8d_wsl")
with
resnet = torch.hub.load("facebookresearch/WSL-Images:main", "resnext101_32x8d_wsl")