無效的JPEG數據（詩人張量流動的重新開始v3）！

Question

當我想重新訓練以來模塊，我得到以下錯誤（我用的方法https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/#0）

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"]] 

請讓我知道我可以處理此錯誤。謝謝！

Answer 1

看來你使用的圖像不是一個JPEG圖像。

錯誤說Not a JPEG file: starts with 0x50 0x35.經過檢查here我發現這可能實際上是.PGM文件。

您可以使用以下命令來驗證文件格式。

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

只是爲了確保首先嚐試運行它與一個或兩個圖像。