無効なJPEGデータ（詩人のテンソルフローの入門3を再学習）！

Question

私は当初モジュールを再教育したい場合は、私が

root@00aa0e1cd75b:/tf_files# python retrain.py \ 
--bottleneck_dir=bottlenecks 
--how_many_training_steps=500 
--model_dir=inception 
--summaries_dir=training_summaries/basic 
--output_graph=retrained_graph.pb 
--output_labels=retrained_labels.txt 
--image_dir=MRII 
2017-06-20 15:04:15.616625: W 
tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library 
wasn't compiled to use SSE4.1 instructions, but these are available on your 
machine and could speed up CPU computations. 
Looking for images in 'Bold' 
Looking for images in 'ASL' 
Creating bottleneck at bottlenecks/Bold/1011_221_MR.MR.CCIR-00600_CCIR- 
00675_Benzinger_AV45.13.49.20150915.142526.1kyq4ky.dcm.jpeg.txt 
2017-06-20 15:04:22.501680: W tensorflow/core/framework/op_def_util.cc:332] 
Op BatchNormWithGlobalNormalization is deprecated. It will cease to work in 
GraphDef version 9. Use tf.nn.batch_normalization(). 
Not a JPEG file: starts with 0x50 0x35 
Traceback (most recent call last): 
File "retrain.py", line 1062, in 
tf.app.run(main=main, argv=[sys.argv[0]] + unparsed) 
File "/usr/local/lib/python2.7/dist- 
packages/tensorflow/python/platform/app.py", line 48, in run 
_sys.exit(main(_sys.argv[:1] + flags_passthrough)) 
File "retrain.py", line 808, in main 
jpeg_data_tensor, bottleneck_tensor) 
File "retrain.py", line 440, in cache_bottlenecks 
jpeg_data_tensor, bottleneck_tensor) 
File "retrain.py", line 392, in get_or_create_bottleneck 
create_bottleneck_file(bottleneck_path, image_lists, label_name, index, 
image_dir, category, sess, jpeg_data_tensor, bottleneck_tensor) 
File "retrain.py", line 356, in create_bottleneck_file 
bottleneck_values = run_bottleneck_on_image(sess, image_data, 
jpeg_data_tensor, bottleneck_tensor) 
File "retrain.py", line 275, in run_bottleneck_on_image 
{image_data_tensor: image_data}) 
File "/usr/local/lib/python2.7/dist- 
packages/tensorflow/python/client/session.py", line 778, in run 
run_metadata_ptr) 
File "/usr/local/lib/python2.7/dist- 
packages/tensorflow/python/client/session.py", line 982, in _run 
feed_dict_string, options, run_metadata) 
File "/usr/local/lib/python2.7/dist- 
packages/tensorflow/python/client/session.py", line 1032, in _do_run 
target_list, options, run_metadata) 
File "/usr/local/lib/python2.7/dist- 
packages/tensorflow/python/client/session.py", line 1052, in _do_call 
raise type(e)(node_def, op, message) 
tensorflow.python.framework.errors_impl.InvalidArgumentError: Invalid JPEG 
data, size 147471 
[[Node: DecodeJpeg = DecodeJpegacceptable_fraction=1, channels=3, 
dct_method="", fancy_upscaling=true, ratio=1, try_recover_truncated=false, 
_device="/job:localhost/replica:0/task:0/cpu:0"]] 
Caused by op u'DecodeJpeg', defined at: 
File "retrain.py", line 1062, in 
tf.app.run(main=main, argv=[sys.argv[0]] + unparsed) 
File "/usr/local/lib/python2.7/dist- 
packages/tensorflow/python/platform/app.py", line 48, in run 
_sys.exit(main(_sys.argv[:1] + flags_passthrough)) 
File "retrain.py", line 779, in main 
create_inception_graph()) 
File "retrain.py", line 256, in create_inception_graph 
RESIZED_INPUT_TENSOR_NAME])) 
File "/usr/local/lib/python2.7/dist- 
packages/tensorflow/python/framework/importer.py", line 308, in 
import_graph_def 
op_def=op_def) 
File "/usr/local/lib/python2.7/dist- 
packages/tensorflow/python/framework/ops.py", line 2336, in create_op 
original_op=self._default_original_op, op_def=op_def) 
File "/usr/local/lib/python2.7/dist- 
packages/tensorflow/python/framework/ops.py", line 1228, in init 
self._traceback = _extract_stack() 

InvalidArgumentError (see above for traceback): Invalid JPEG data, size 
147471 
[[Node: DecodeJpeg = DecodeJpegacceptable_fraction=1, channels=3, 
dct_method="", fancy_upscaling=true, ratio=1, try_recover_truncated=false, 
_device="/job:localhost/replica:0/task:0/cpu:0"]] 

（私はhttps://codelabs.developers.google.com/codelabs/tensorflow-for-poets/#0でメソッドを使用）、次のエラーを取得する私は、私はこのエラーを処理する方法を教えてください。ありがとう！

Answer 1

使用している画像がjpeg画像ではないようです。

エラーが表示されるNot a JPEG file: starts with 0x50 0x35.hereを確認した後、実際には.PGMファイルである可能性があります。

次のコマンドを使用してファイル形式を確認できます。

file /path_to_file/file_name.jpeg 
vi -b /path_to_file/file_name.jpeg 

最初に1つまたは2つの画像で実行するようにしてください。