ValueError: 'image' (shape (?, 26, 26, 256)) must be three-dimensional.

[arjunkedlaya]

Traceback (most recent call last): File "train.py", line 113, in tf.app.run() File "/home/tendulkar/anaconda3/envs/deeplearn/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 48, in run _sys.exit(main(_sys.argv[:1] + flags_passthrough)) File "train.py", line 31, in main image_placeholder, groundtruth_text_placeholder, FLAGS.single_seq) File "/home/tendulkar/Desktop/aon/AON-master/model_aon.py", line 313, in inference aon_core_output_dict = _arbitrary_orientation_network(base_features) File "/home/tendulkar/Desktop/aon/AON-master/model_aon.py", line 174, in _arbitrary_orientation_network featute_vertical = get_feature_sequence(inputs=tf.image.rot90(inputs), reuse=True) File "/home/tendulkar/anaconda3/envs/deeplearn/lib/python3.6/site-packages/tensorflow/python/ops/image_ops_impl.py", line 322, in rot90 _Check3DImage(image, require_static=False), image) File "/home/tendulkar/anaconda3/envs/deeplearn/lib/python3.6/site-packages/tensorflow/python/ops/image_ops_impl.py", line 135, in _Check3DImage image.shape) ValueError: 'image' (shape (?, 26, 26, 256)) must be three-dimensional.

I have already created train.tfrecord using the answer given for issue #4 .Encountering this issue when i try to run

Once the tfrecord file has been created, run the train.py file with the following arguments: python3 train.py --tfrecord_file_path path_to_tfrecord_file