jiangsutx
TypeError: 'float' object cannot be interpreted as an integer
Hi! I'm using python 3.5 version, so I changed
print to print (~~)
and
xrange to range.
And I got an error,
Testing path: ./data/test/calendar number of testing frames: 31 Traceback (most recent call last): File "main_videosr_deploy_4x3f.py", line 111, in <module> tf.app.run() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 48, in run _sys.exit(main(_sys.argv[:1] + flags_passthrough)) File "main_videosr_deploy_4x3f.py", line 108, in main model.test() File "main_videosr_deploy_4x3f.py", line 52, in test imgs = [inp[0] for i in range(idx0 - T, 0)] TypeError: 'float' object cannot be interpreted as an integer
Do you know how to solve this problem??
I think you need to make T an integer in Line 50.
T = int(num_frames / 2)
I will fix this problem soon.
