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The imagenet pretrained weights download link shows Service Unavailable.
File "D:\AIBenchmarking\aivision\AIWorkbench\tasks\semantic_segmentation\utils.py", line 83, in load_model model = smp.UnetPlusPlus( File "C:\Users\user3dm\anaconda3\envs\torchT\lib\site-packages\segmentation_models_pytorch\base\hub_mixin.py", line 147, in wrapper return func(self, *args, **kwargs) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\site-packages\segmentation_models_pytorch\decoders\unetplusplus\model.py", line 81, in __init__ self.encoder = get_encoder( File "C:\Users\user3dm\anaconda3\envs\torchT\lib\site-packages\segmentation_models_pytorch\encoders\__init__.py", line 86, in get_encoder encoder.load_state_dict(model_zoo.load_url(settings["url"])) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\site-packages\torch\hub.py", line 746, in load_state_dict_from_url download_url_to_file(url, cached_file, hash_prefix, progress=progress) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\site-packages\torch\hub.py", line 611, in download_url_to_file u = urlopen(req) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 214, in urlopen return opener.open(url, data, timeout) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 523, in open response = meth(req, response) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 632, in http_response response = self.parent.error( File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 555, in error result = self._call_chain(*args) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 494, in _call_chain result = func(*args) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 747, in http_error_302 return self.parent.open(new, timeout=req.timeout) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 523, in open response = meth(req, response) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 632, in http_response response = self.parent.error( File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 561, in error return self._call_chain(*args) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 494, in _call_chain result = func(*args) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 641, in http_error_default raise HTTPError(req.full_url, code, msg, hdrs, fp) urllib.error.HTTPError: HTTP Error 503: Service Unavailable
The text was updated successfully, but these errors were encountered:
The imagenet pretrained weights download link shows Service Unavailable.
File "D:\AIBenchmarking\aivision\AIWorkbench\tasks\semantic_segmentation\utils.py", line 83, in load_model model = smp.UnetPlusPlus( File "C:\Users\user3dm\anaconda3\envs\torchT\lib\site-packages\segmentation_models_pytorch\base\hub_mixin.py", line 147, in wrapper return func(self, *args, **kwargs) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\site-packages\segmentation_models_pytorch\decoders\unetplusplus\model.py", line 81, in __init__ self.encoder = get_encoder( File "C:\Users\user3dm\anaconda3\envs\torchT\lib\site-packages\segmentation_models_pytorch\encoders\__init__.py", line 86, in get_encoder encoder.load_state_dict(model_zoo.load_url(settings["url"])) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\site-packages\torch\hub.py", line 746, in load_state_dict_from_url download_url_to_file(url, cached_file, hash_prefix, progress=progress) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\site-packages\torch\hub.py", line 611, in download_url_to_file u = urlopen(req) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 214, in urlopen return opener.open(url, data, timeout) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 523, in open response = meth(req, response) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 632, in http_response response = self.parent.error( File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 555, in error result = self._call_chain(*args) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 494, in _call_chain result = func(*args) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 747, in http_error_302 return self.parent.open(new, timeout=req.timeout) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 523, in open response = meth(req, response) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 632, in http_response response = self.parent.error( File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 561, in error return self._call_chain(*args) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 494, in _call_chain result = func(*args) File "C:\Users\user3dm\anaconda3\envs\torchT\lib\urllib\request.py", line 641, in http_error_default raise HTTPError(req.full_url, code, msg, hdrs, fp) urllib.error.HTTPError: HTTP Error 503: Service Unavailable
The text was updated successfully, but these errors were encountered: