`example.py` throws error : erroneous infinity returned

I am trying to run example.py on a video of my own. The only modification made by me is for the path to the folder with the videos : https://github.com/DariusAf/MesoNet/blob/61fe5cde61b2b6f531f55e7007976806fddbbf7a/example.py#L31

I have the same python and keras versions as mentioned in the readme.

The error trace:

Using TensorFlow backend.
2019-05-03 14:32:26.071187: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Found 4 images belonging to 2 classes.
Predicted : [[0.99782073]] 
Real class : [1.]
Dealing with video  fadg0-fram1-roi93.mov
Traceback (most recent call last):
  File "/home/aneesh/Work/MesoNet/example.py", line 31, in <module>
    predictions = compute_accuracy(classifier, '/home/aneesh/Work/data/deepfaketimit/DeepfakeTIMIT/')
  File "/home/aneesh/Work/MesoNet/pipeline.py", line 305, in compute_accuracy
    skipstep = max(floor(face_finder.length / frame_subsample_count), 0)
OverflowError: cannot convert float infinity to integer
Fatal Python error: could not acquire lock for <_io.BufferedReader name=8> at interpreter shutdown, possibly due to daemon threads

Thread 0x00007f08e77fe700 (most recent call first):
  File "/home/aneesh/SoftwareInstall/miniconda3/envs/lab_env/lib/python3.6/site-packages/imageio_ffmpeg/_parsing.py", line 61 in run
  File "/home/aneesh/SoftwareInstall/miniconda3/envs/lab_env/lib/python3.6/threading.py", line 916 in _bootstrap_inner
  File "/home/aneesh/SoftwareInstall/miniconda3/envs/lab_env/lib/python3.6/threading.py", line 884 in _bootstrap

Current thread 0x00007f0949657740 (most recent call first):
  File "/home/aneesh/SoftwareInstall/miniconda3/envs/lab_env/lib/python3.6/subprocess.py", line 1557 in _communicate
  File "/home/aneesh/SoftwareInstall/miniconda3/envs/lab_env/lib/python3.6/subprocess.py", line 863 in communicate
  File "/home/aneesh/SoftwareInstall/miniconda3/envs/lab_env/lib/python3.6/site-packages/imageio_ffmpeg/_io.py", line 193 in read_frames
  File "/home/aneesh/SoftwareInstall/miniconda3/envs/lab_env/lib/python3.6/site-packages/imageio/plugins/ffmpeg.py", line 342 in _close
  File "/home/aneesh/SoftwareInstall/miniconda3/envs/lab_env/lib/python3.6/site-packages/imageio/core/format.py", line 252 in close
  File "/home/aneesh/SoftwareInstall/miniconda3/envs/lab_env/lib/python3.6/site-packages/imageio/core/format.py", line 241 in __del__

I’ve tried debugging it. It seems to be stemming from https://github.com/DariusAf/MesoNet/blob/61fe5cde61b2b6f531f55e7007976806fddbbf7a/pipeline.py#L305

where face_finder.length is returning infinity.

I found a potential solution here : https://stackoverflow.com/questions/54778001/how-to-to-tackle-overflowerror-cannot-convert-float-infinity-to-integer

I may have fixed it in my fork : https://github.com/aneesh-joshi/MesoNet/blob/19749db10561901b0622009d5266046bc967bb10/pipeline.py#L25

But on running it with this “fix”, I get 100% confidence of fakeness in real and fake videos. I suspect I’m doing something wrong.

Could you help me out @DariusAf

Thanks!

[markzampoglou]

It seems the problem is linked to this bug: https://stackoverflow.com/questions/54778001/how-to-to-tackle-overflowerror-cannot-convert-float-infinity-to-integer

The solution is probably to replace line 21 of pipeline.py: Instead of self.length = self.container.get_length() put self.length = self.container.count_frames()

[aneesh-joshi]

@nviable makes sense. If @DariusAf could verify this change, I’ll make a PR and close this issue.