Error during processing file training_dataset\cardboard\20190125-095048.jpeg

[kevinjosethomas]

I trained the model and then decided to add more images to the model. I got the level up to 500 images for every category. When I ran the train command again, it displayed multiple errors.

Creating bottleneck at tf_files/bottlenecks\cardboard\20190125-095048.jpeg.txt
Traceback (most recent call last):
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\client\session.py", line 1365, in _do_call
    return fn(*args)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\client\session.py", line 1350, in _run_fn
    target_list, run_metadata)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\client\session.py", line 1443, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Expected image (JPEG, PNG, or GIF), got unknown format starting with 'RIFF\336\210\r\000WEBPVP8X'
         [[{{node DecodeJpeg}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "retrain.py", line 374, in create_bottleneck_file
    sess, image_data, jpeg_data_tensor, bottleneck_tensor)
  File "retrain.py", line 287, in run_bottleneck_on_image
    {image_data_tensor: image_data})
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\client\session.py", line 956, in run
    run_metadata_ptr)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\client\session.py", line 1180, in _run
    feed_dict_tensor, options, run_metadata)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\client\session.py", line 1359, in _do_run
    run_metadata)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\client\session.py", line 1384, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Expected image (JPEG, PNG, or GIF), got unknown format starting with 'RIFF\336\210\r\000WEBPVP8X'
         [[node DecodeJpeg (defined at C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\framework\ops.py:1748) ]]

Original stack trace for 'DecodeJpeg':
  File "retrain.py", line 1105, in <module>
    tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\platform\app.py", line 40, in run
    _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\absl\app.py", line 299, in run
    _run_main(main, args)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\absl\app.py", line 250, in _run_main
    sys.exit(main(argv))
  File "retrain.py", line 812, in main
    create_inception_graph())
  File "retrain.py", line 268, in create_inception_graph
    RESIZED_INPUT_TENSOR_NAME]))
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\util\deprecation.py", line 507, in new_func
    return func(*args, **kwargs)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\framework\importer.py", line 405, in import_graph_def
    producer_op_list=producer_op_list)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\framework\importer.py", line 517, in _import_graph_def_internal
    _ProcessNewOps(graph)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\framework\importer.py", line 243, in _ProcessNewOps
    for new_op in graph._add_new_tf_operations(compute_devices=False):  # pylint: disable=protected-access
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\framework\ops.py", line 3561, in _add_new_tf_operations
    for c_op in c_api_util.new_tf_operations(self)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\framework\ops.py", line 3561, in <listcomp>
    for c_op in c_api_util.new_tf_operations(self)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\framework\ops.py", line 3451, in _create_op_from_tf_operation
    ret = Operation(c_op, self)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\framework\ops.py", line 1748, in __init__
    self._traceback = tf_stack.extract_stack()


During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "retrain.py", line 1105, in <module>
    tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\platform\app.py", line 40, in run
    _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\absl\app.py", line 299, in run
    _run_main(main, args)
  File "C:\Users\\AppData\Local\Programs\Python\Python36\lib\site-packages\absl\app.py", line 250, in _run_main
    sys.exit(main(argv))
  File "retrain.py", line 844, in main
    bottleneck_tensor)
  File "retrain.py", line 469, in cache_bottlenecks
    jpeg_data_tensor, bottleneck_tensor)
  File "retrain.py", line 417, in get_or_create_bottleneck
    bottleneck_tensor)
  File "retrain.py", line 376, in create_bottleneck_file
    raise RuntimeError('Error during processing file %s' % image_path)
RuntimeError: Error during processing file training_dataset\cardboard\20190125-095048.jpeg