在kaggle上导入预训练vgg模型时的Gaierror

Question

initial_model = VGG19(weights='imagenet', pooling = max)

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请求中得/opt/conda/lib/python3.6/http/client.py（自,方法,url,正文,头,encode_chunked)1238“”“向服务器发送完整得请求.”“”->1239 self._send_request（方法、url、正文、标头、encode_chunked)1240

/opt/conda/lib/python3.6/http/client.py in_send_request（self,method,url,body,headers,encode_chunked)1284 body=_encode（body,'body')->1285 self.endheaders（body,encode_chunked=encode_chunked)1286

/opt/conda/lib/python3.6/http/client.py in endheaders（self,message_body,encode_chunked)1233 Rise CannotSendHeader()->1234 self._send_output（message_body,encode_chunked=encode_chunked)1235

/opt/conda/lib/python3.6/http/client.py in_send_output（self,message_body,encode_chunked)1025 del self._buffer[:]->1026 self.send(msg)1027

send（self,data）963中的/opt/conda/lib/python3.6/http/client.py if self.auto_open:-->964 self.connect()965 else：

connect（self）1391中的/opt/conda/lib/python3.6/http/client.py->1392 super().connect()1393

connect（self）中的/opt/conda/lib/python3.6/http/client.py 935 self.sock=self._create_connection(-->936（self.host,self.port）,self.timeout,self.source_address)937 self.sock.setsockopt（socket.ipproto_tcp,socket.tcp_nodelay,1）

/opt/conda/lib/python3.6/socket.py in create_connection（address,timeout,source_address)703 err=none->704对于getaddrinfo（主机,端口,0,SOCK_STREAM)中的res：705 af,socktype,proto,canonname,sa=res

/opt/conda/lib/python3.6/socket.py in getaddrinfo（host,port,family,type,proto,flags）744 addrlist=[]-->745 for res in_socket.getaddrinfo（host,port,family,type,proto,canonname,sa=res

GaiError：[errno-3]名称解析暂时失败

在处理上述异常时，又发生了一个异常：

URLError Traceback（最近一次调用）/opt/conda/lib/python3.6/site-packages/keras/utils/data_utils.py in get_file（fname,origin,untar,md5_hash,file_hash,cache_subdir,hash_algorithm,extract,archive_format,cache_dir）221 try:-->222 urlretrieve（origin,fpath,dl_progress）223除HTTPError为e：

/opt/conda/lib/python3.6/urllib/request.py在urlretrieve（url,filename,reporthook,data）247中-->248 with contextlib.closing（urlopen（url,data））作为fp：249 headers=fp.info（）

/opt/conda/lib/python3.6/urllib/request.py in urlopen（url,data,timeout,cafile,capath,cadefault,context）222 opener=_opener-->223 return opener.open（url,data,timeout）224

/opt/conda/lib/python3.6/urllib/request.py在open（self,fullurl,data,timeout）525中-->526响应=self._open（req,data）527

/opt/conda/lib/python3.6/urllib/request.py in_open（self,req,data）543 result=self._call_chain（self.handle_open,protocol,protocol+-->544“_open”,req）545如果结果：

/opt/conda/lib/python3.6/urllib/request.py in_call_chain（self,chain,kind,meth_name,*args)503 func=getattr（handler,meth_name)-->504 result=func(*args)505如果结果不是none：

/opt/conda/lib/python3.6/urllib/request.py in https_open（self,req)
1360 return self.do_open(http.client.httpsconnection,req,->1361 context=self._context,check_hostname=self._check_hostname)1362

do_open(self,http_class,req,**http_conn_args)1319中的/opt/conda/lib/python3.6/urllib/request.py除OSError为err:#timeout error->1320引发URLError(err)1321 r=h.getresponse（）

URLERROR：

在处理上述异常时，又发生了一个异常：

/opt/conda/lib/python3.6/site-packages/keras_applications/VGG19.py在VGG19中(include_top,weights,input_tensor,input_shape,pooling,classes,**kwargs)219WEIGHTS_PATH_NO_TOP,220 cache_subdir='model',-->221 file_hash='253f8cb515780f3b799900260a226db6')222 model.load_weights(weights_path)223 if

/opt/conda/lib/python3.6/site-packages/keras/utils/data_utils.py在get_file（fname,origin,untar,md5_hash,file_hash,cache_subdir,hash_algorithm,extract,archive_format,cache_algorithm,extract,archive_format,cache_dir)224引发异常(Error_msg.format（origin,e.code,e.msg))225除URLError为e：-->226引发异常

异常：https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg19_weights_tf_dim_ordering_tf_kernels_notop上的URL提取失败。h5:无--[errno-3]名称解析暂时失败

Answer 1

看起来您可能没有在内核中启用internet访问。您可以在右侧的面板中这样做。一旦您添加了internet连接，您就可以下载文件了。

我们实际上也已经有VGG-19重量上传到Kaggle。如果您愿意，您可以将这个现有的数据集添加到内核中，而不是下载它，这对您来说可能会稍微快一点。

希望有帮助！：）