This codebox:
IMG_SHAPE = IMG_SIZE + (3,)
base_model = tf.keras.applications.MobileNetV2(input_shape=IMG_SHAPE,
include_top=True,
weights='imagenet')
results with the following error:
Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/mobilenet_v2/mobilenet_v2_weights_tf_dim_ordering_tf_kernels_1.0_160.h5
---------------------------------------------------------------------------
SSLCertVerificationError Traceback (most recent call last)
/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
1318 h.request(req.get_method(), req.selector, req.data, headers,
-> 1319 encode_chunked=req.has_header('Transfer-encoding'))
1320 except OSError as err: # timeout error
/opt/conda/lib/python3.7/http/client.py in request(self, method, url, body, headers, encode_chunked)
1251 """Send a complete request to the server."""
-> 1252 self._send_request(method, url, body, headers, encode_chunked)
1253
/opt/conda/lib/python3.7/http/client.py in _send_request(self, method, url, body, headers, encode_chunked)
1297 body = _encode(body, 'body')
-> 1298 self.endheaders(body, encode_chunked=encode_chunked)
1299
/opt/conda/lib/python3.7/http/client.py in endheaders(self, message_body, encode_chunked)
1246 raise CannotSendHeader()
-> 1247 self._send_output(message_body, encode_chunked=encode_chunked)
1248
/opt/conda/lib/python3.7/http/client.py in _send_output(self, message_body, encode_chunked)
1025 del self._buffer[:]
-> 1026 self.send(msg)
1027
/opt/conda/lib/python3.7/http/client.py in send(self, data)
965 if self.auto_open:
--> 966 self.connect()
967 else:
/opt/conda/lib/python3.7/http/client.py in connect(self)
1421 self.sock = self._context.wrap_socket(self.sock,
-> 1422 server_hostname=server_hostname)
1423
/opt/conda/lib/python3.7/ssl.py in wrap_socket(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, session)
422 context=self,
--> 423 session=session
424 )
/opt/conda/lib/python3.7/ssl.py in _create(cls, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, context, session)
869 raise ValueError("do_handshake_on_connect should not be specified for non-blocking sockets")
--> 870 self.do_handshake()
871 except (OSError, ValueError):
/opt/conda/lib/python3.7/ssl.py in do_handshake(self, block)
1138 self.settimeout(None)
-> 1139 self._sslobj.do_handshake()
1140 finally:
SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1076)
During handling of the above exception, another exception occurred:
URLError Traceback (most recent call last)
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/utils/data_utils.py in get_file(fname, origin, untar, md5_hash, file_hash, cache_subdir, hash_algorithm, extract, archive_format, cache_dir)
277 try:
--> 278 urlretrieve(origin, fpath, dl_progress)
279 except HTTPError as e:
/opt/conda/lib/python3.7/urllib/request.py in urlretrieve(url, filename, reporthook, data)
246
--> 247 with contextlib.closing(urlopen(url, data)) as fp:
248 headers = fp.info()
/opt/conda/lib/python3.7/urllib/request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context)
221 opener = _opener
--> 222 return opener.open(url, data, timeout)
223
/opt/conda/lib/python3.7/urllib/request.py in open(self, fullurl, data, timeout)
524
--> 525 response = self._open(req, data)
526
/opt/conda/lib/python3.7/urllib/request.py in _open(self, req, data)
542 result = self._call_chain(self.handle_open, protocol, protocol +
--> 543 '_open', req)
544 if result:
/opt/conda/lib/python3.7/urllib/request.py in _call_chain(self, chain, kind, meth_name, *args)
502 func = getattr(handler, meth_name)
--> 503 result = func(*args)
504 if result is not None:
/opt/conda/lib/python3.7/urllib/request.py in https_open(self, req)
1361 return self.do_open(http.client.HTTPSConnection, req,
-> 1362 context=self._context, check_hostname=self._check_hostname)
1363
/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
1320 except OSError as err: # timeout error
-> 1321 raise URLError(err)
1322 r = h.getresponse()
URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1076)>
During handling of the above exception, another exception occurred:
Exception Traceback (most recent call last)
<ipython-input-41-370c4e2d1bf6> in <module>
2 base_model = tf.keras.applications.MobileNetV2(input_shape=IMG_SHAPE,
3 include_top=True,
----> 4 weights='imagenet')
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/applications/mobilenet_v2.py in MobileNetV2(input_shape, alpha, include_top, weights, input_tensor, pooling, classes, classifier_activation, **kwargs)
401 weight_path = BASE_WEIGHT_PATH + model_name
402 weights_path = data_utils.get_file(
--> 403 model_name, weight_path, cache_subdir='models')
404 else:
405 model_name = ('mobilenet_v2_weights_tf_dim_ordering_tf_kernels_' +
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/utils/data_utils.py in get_file(fname, origin, untar, md5_hash, file_hash, cache_subdir, hash_algorithm, extract, archive_format, cache_dir)
280 raise Exception(error_msg.format(origin, e.code, e.msg))
281 except URLError as e:
--> 282 raise Exception(error_msg.format(origin, e.errno, e.reason))
283 except (Exception, KeyboardInterrupt) as e:
284 if os.path.exists(fpath):
Exception: URL fetch failure on https://storage.googleapis.com/tensorflow/keras-applications/mobilenet_v2/mobilenet_v2_weights_tf_dim_ordering_tf_kernels_1.0_160.h5: None -- [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1076)
From what I understand googling, it may be either caused by the server hosting the jupyter notebook, or the server hosting TonsorFlow API…
Could anyone take a look at this? I would appreciate help! Thanks in advance!
