model = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True)
when I try to this line of code to download pretrained fasterrcnn model, I got the following error message. I can’t figure out what’s wrong with it, and there is no related solution after I search, Is there someone can help me?
Downloading: "https://download.pytorch.org/models/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth" to /root/.cache/torch/hub/checkpoints/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth
---------------------------------------------------------------------------
gaierror Traceback (most recent call last)
/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
1349 h.request(req.get_method(), req.selector, req.data, headers,
-> 1350 encode_chunked=req.has_header('Transfer-encoding'))
1351 except OSError as err: # timeout error
/opt/conda/lib/python3.7/http/client.py in request(self, method, url, body, headers, encode_chunked)
1276 """Send a complete request to the server."""
-> 1277 self._send_request(method, url, body, headers, encode_chunked)
1278
/opt/conda/lib/python3.7/http/client.py in _send_request(self, method, url, body, headers, encode_chunked)
1322 body = _encode(body, 'body')
-> 1323 self.endheaders(body, encode_chunked=encode_chunked)
1324
/opt/conda/lib/python3.7/http/client.py in endheaders(self, message_body, encode_chunked)
1271 raise CannotSendHeader()
-> 1272 self._send_output(message_body, encode_chunked=encode_chunked)
1273
/opt/conda/lib/python3.7/http/client.py in _send_output(self, message_body, encode_chunked)
1031 del self._buffer[:]
-> 1032 self.send(msg)
1033
/opt/conda/lib/python3.7/http/client.py in send(self, data)
971 if self.auto_open:
--> 972 self.connect()
973 else:
/opt/conda/lib/python3.7/http/client.py in connect(self)
1438
-> 1439 super().connect()
1440
/opt/conda/lib/python3.7/http/client.py in connect(self)
943 self.sock = self._create_connection(
--> 944 (self.host,self.port), self.timeout, self.source_address)
945 self.sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)
/opt/conda/lib/python3.7/socket.py in create_connection(address, timeout, source_address)
706 err = None
--> 707 for res in getaddrinfo(host, port, 0, SOCK_STREAM):
708 af, socktype, proto, canonname, sa = res
/opt/conda/lib/python3.7/socket.py in getaddrinfo(host, port, family, type, proto, flags)
751 addrlist = []
--> 752 for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
753 af, socktype, proto, canonname, sa = res
gaierror: [Errno -3] Temporary failure in name resolution
During handling of the above exception, another exception occurred:
URLError Traceback (most recent call last)
<ipython-input-47-bfd4a803a437> in <module>
3
4 # load a model pre-trained pre-trained on COCO
----> 5 model = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True)
6
7 # replace the classifier with a new one, that has
/opt/conda/lib/python3.7/site-packages/torchvision/models/detection/faster_rcnn.py in fasterrcnn_resnet50_fpn(pretrained, progress, num_classes, pretrained_backbone, trainable_backbone_layers, **kwargs)
360 if pretrained:
361 state_dict = load_state_dict_from_url(model_urls['fasterrcnn_resnet50_fpn_coco'],
--> 362 progress=progress)
363 model.load_state_dict(state_dict)
364 return model
/opt/conda/lib/python3.7/site-packages/torch/hub.py in load_state_dict_from_url(url, model_dir, map_location, progress, check_hash, file_name)
553 r = HASH_REGEX.search(filename) # r is Optional[Match[str]]
554 hash_prefix = r.group(1) if r else None
--> 555 download_url_to_file(url, cached_file, hash_prefix, progress=progress)
556
557 if _is_legacy_zip_format(cached_file):
/opt/conda/lib/python3.7/site-packages/torch/hub.py in download_url_to_file(url, dst, hash_prefix, progress)
423 # certificates in older Python
424 req = Request(url, headers={"User-Agent": "torch.hub"})
--> 425 u = urlopen(req)
426 meta = u.info()
427 if hasattr(meta, 'getheaders'):
/opt/conda/lib/python3.7/urllib/request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context)
220 else:
221 opener = _opener
--> 222 return opener.open(url, data, timeout)
223
224 def install_opener(opener):
/opt/conda/lib/python3.7/urllib/request.py in open(self, fullurl, data, timeout)
523 req = meth(req)
524
--> 525 response = self._open(req, data)
526
527 # post-process response
/opt/conda/lib/python3.7/urllib/request.py in _open(self, req, data)
541 protocol = req.type
542 result = self._call_chain(self.handle_open, protocol, protocol +
--> 543 '_open', req)
544 if result:
545 return result
/opt/conda/lib/python3.7/urllib/request.py in _call_chain(self, chain, kind, meth_name, *args)
501 for handler in handlers:
502 func = getattr(handler, meth_name)
--> 503 result = func(*args)
504 if result is not None:
505 return result
/opt/conda/lib/python3.7/urllib/request.py in https_open(self, req)
1391 def https_open(self, req):
1392 return self.do_open(http.client.HTTPSConnection, req,
-> 1393 context=self._context, check_hostname=self._check_hostname)
1394
1395 https_request = AbstractHTTPHandler.do_request_
/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
1350 encode_chunked=req.has_header('Transfer-encoding'))
1351 except OSError as err: # timeout error
-> 1352 raise URLError(err)
1353 r = h.getresponse()
1354 except:
URLError: <urlopen error [Errno -3] Temporary failure in name resolution>