I overcame some hurdles mentioned in previous issues, but am stuck running: python run_saliency.py with the following error. Any help is much appreciated.
Traceback (most recent call last):
File "run_saliency.py", line 63, in
tf.app.run()
File "/home/joseph/anaconda3/envs/adaptivefusion/lib/python3.7/site-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/home/joseph/anaconda3/envs/adaptivefusion/lib/python3.7/site-packages/absl/app.py", line 300, in run
_run_main(main, args)
File "/home/joseph/anaconda3/envs/adaptivefusion/lib/python3.7/site-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv))
File "run_saliency.py", line 39, in main
for filename in files])
File "run_saliency.py", line 39, in
for filename in files])
File "<array_function internals>", line 6, in expand_dims
File "/home/joseph/anaconda3/envs/adaptivefusion/lib/python3.7/site-packages/numpy/lib/shape_base.py", line 597, in expand_dims
axis = normalize_axis_tuple(axis, out_ndim)
File "/home/joseph/anaconda3/envs/adaptivefusion/lib/python3.7/site-packages/numpy/core/numeric.py", line 1358, in normalize_axis_tuple
axis = tuple([normalize_axis_index(ax, ndim, argname) for ax in axis])
File "/home/joseph/anaconda3/envs/adaptivefusion/lib/python3.7/site-packages/numpy/core/numeric.py", line 1358, in
axis = tuple([normalize_axis_index(ax, ndim, argname) for ax in axis])
numpy.AxisError: axis 3 is out of bounds for array of dimension 3