keras使用基础问题
- 一、下载报错
- 报错详情
- 解决方式
- 忽略ssl检查
- 提前将数据或者包下载到本地
- 参考
一、下载报错
报错详情
1、下载数据报错
(x_train, y_train_cats), (x_test, y_test_cats) = cifar10.load_data()
报错信息
Exception: URL fetch failure on https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz
File /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/keras/src/utils/file_utils.py:295, in get_file(fname, origin, untar, md5_hash, file_hash, cache_subdir, hash_algorithm, extract, archive_format, cache_dir, force_download)
293 raise Exception(error_msg.format(origin, e.code, e.msg))
294 except urllib.error.URLError as e:
295 raise Exception(error_msg.format(origin, e.errno, e.reason))
296 except (Exception, KeyboardInterrupt):
297 if os.path.exists(fpath):
Exception: URL fetch failure on https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz: None – [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1129)
下载模型报错
model = kapp.VGG19()
File /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/keras/src/utils/file_utils.py:295, in get_file(fname, origin, untar, md5_hash, file_hash, cache_subdir, hash_algorithm, extract, archive_format, cache_dir, force_download)
293 raise Exception(error_msg.format(origin, e.code, e.msg))
294 except urllib.error.URLError as e:
295 raise Exception(error_msg.format(origin, e.errno, e.reason))
296 except (Exception, KeyboardInterrupt):
297 if os.path.exists(fpath):
Exception: URL fetch failure on https://storage.googleapis.com/tensorflow/keras-applications/vgg19/vgg19_weights_tf_dim_ordering_tf_kernels.h5: None – [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1129)
解决方式
忽略ssl检查
在可以访问该地址的情况下，出现该报错，原因即是在进行证书校验时出错的。所以在可以ssl基础库中设置忽略证书校验即可。
import ssl
ssl._create_default_https_context = ssl._create_unverified_context
提前将数据或者包下载到本地
这里找到了针对以上数据报错的解决方式，或者针对部分不能直接访问原地址的用户，可以通过其他途径提前将数据压缩包下载。之后放入到keras在系统环境中的数据目录下。
进入指定网址，手动下载压缩包
https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz
并重命名为：cifar-10-batches-py.tar.gz
放到路径：/.keras/datasets下
参考
downloading ResNet50 in Keras generates “SSL: CERTIFICATE_VERIFY_FAILED”
【Bug解决】Exception: URL fetch failure on https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz
