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author | Dan Ringwalt <ringwalt@google.com> | 2017-05-05 09:09:05 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-05-05 10:26:00 -0700 |
commit | 692fad20f913ffa2cb874a87578ecabb03cc4557 (patch) | |
tree | 172717f537c91b0d1ac0366731b4eb2093fb743b /tensorflow/examples/image_retraining | |
parent | b329dd821e29e64c93b1b9bf38e61871c6cb53da (diff) |
Merge changes from github.
Change: 155209832
Diffstat (limited to 'tensorflow/examples/image_retraining')
-rw-r--r-- | tensorflow/examples/image_retraining/retrain.py | 9 |
1 files changed, 6 insertions, 3 deletions
diff --git a/tensorflow/examples/image_retraining/retrain.py b/tensorflow/examples/image_retraining/retrain.py index 5f4b6bed48..6c1b40b442 100644 --- a/tensorflow/examples/image_retraining/retrain.py +++ b/tensorflow/examples/image_retraining/retrain.py @@ -369,9 +369,12 @@ def create_bottleneck_file(bottleneck_path, image_lists, label_name, index, if not gfile.Exists(image_path): tf.logging.fatal('File does not exist %s', image_path) image_data = gfile.FastGFile(image_path, 'rb').read() - bottleneck_values = run_bottleneck_on_image(sess, image_data, - jpeg_data_tensor, - bottleneck_tensor) + try: + bottleneck_values = run_bottleneck_on_image( + sess, image_data, jpeg_data_tensor, bottleneck_tensor) + except: + raise RuntimeError('Error during processing file %s' % image_path) + bottleneck_string = ','.join(str(x) for x in bottleneck_values) with open(bottleneck_path, 'w') as bottleneck_file: bottleneck_file.write(bottleneck_string) |