python-ffm | Python Wrapped LibFFM | Machine Learning library

Getting the same hash requires when writing and reading a video file requires careful attention.

Before comparing the hash, try to look at the video first.

Executing your code gave me the following output (first frame of video_2):

When the input (first frame of video) is:

I suggest the following modifications:

• Use AVI container (instead of MKV) for storing test_2 video in raw video format.
  AVI video container is originally designed for storing raw video.
  There could be a way for storing raw, or lossless RGB video in MKV container, but I am not aware of such option.
• Set the input pixel format of test_2 video.
  Add an argument: pixel_format='rgb24'.
  Note: I modified it to pixel_format='bgr24', because AVI supports bgr24 and not rgb24.
• Select video a lossless codec for test_2 video.
  You may select vcodec='rawvideo' (rawvideo codec is supported by AVI but not supported by MKV).

Note:
For getting equal hash, you need to look for lossless video codec that supports rgb24 (or bgr24) pixel format.
Most of the lossless codecs, converts the pixel format from RGB to YUV.
The RGB to YUV conversion has rounding errors that prevents equal hash.
(I suppose there are ways to get around it, but it's a bit complicated).

Here is your complete code with few modifications: