Traceback (most recent call last):


 "monodepth_main.py", line 254, in <module>

tf.app.run()


 "/home/zxn/.local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run

_sys.exit(main(_sys.argv[:1] + flags_passthrough))


 "monodepth_main.py", line 251, in main

test(params)


 "monodepth_main.py", line 216, in test

disparities[step] = disp[0].squeeze()
ValueError: could not broadcast input array from shape (128,256) into shape (256,512)
Image 0: Traceback (most recent call last):


 "all_methods.py", line 145, in <module>

prob = modelp.predict_on_batch(x)[0]


 "/home/lapuschkin/.local/lib/python3.5/site-packages/Keras-2.1.5-py3.5.egg/keras/engine/training.py", line 1939, in predict_on_batch

self._feed_input_shapes)


 "/home/lapuschkin/.local/lib/python3.5/site-packages/Keras-2.1.5-py3.5.egg/keras/engine/training.py", line 123, in _standardize_input_data

str(data_shape))
ValueError: Error when checking : expected input_1 to have shape (None, 331, 331, 3) but got array with shape (1, 224, 224, 3)