scikit-video | Video Processing in Python

 by   scikit-video Python Version: Current License: BSD-3-Clause

kandi X-RAY | scikit-video Summary

kandi X-RAY | scikit-video Summary

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Video Processing in Python
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            scikit-video Key Features

            No Key Features are available at this moment for scikit-video.

            scikit-video Examples and Code Snippets

            No Code Snippets are available at this moment for scikit-video.

            Community Discussions

            QUESTION

            NumPy array of a video changes from the original after writing into the same video
            Asked 2021-Mar-29 at 21:05

            I have a video (test.mkv) that I have converted into a 4D NumPy array - (frame, height, width, color_channel). I have even managed to convert that array back into the same video (test_2.mkv) without altering anything. However, after reading this new, test_2.mkv, back into a new NumPy array, the array of the first video is different from the second video's array i.e. their hashes don't match and the numpy.array_equal() function returns false. I have tried using both python-ffmpeg and scikit-video but cannot get the arrays to match.

            Python-ffmpeg attempt: ...

            ANSWER

            Answered 2021-Mar-29 at 21:05

            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:

            Source https://stackoverflow.com/questions/66713980

            QUESTION

            I constantly get ResolvePackageNotFound
            Asked 2021-Jan-17 at 05:16

            When I type conda env create -f environment.yml

            I constantly get

            ...

            ANSWER

            Answered 2021-Jan-15 at 14:57

            Conda does not work well with large environments in which everything pinned to specific versions (in contrast to other ecosystems in which pinning everything is the standard). The result of conda env export, which is what this probably is, here also includes the build numbers, which are almost always too specific (and often platform-specific) for the purpose of installing the right version of the software. It's great for things like reproducibility of scientific work (specific versions and builds of everything need to be known), but not great for installing software (there is plenty of flexibility in versions that should work with any package).

            I'd start by removing the build pins (dropping everything after the second = in each line) so that only the versions are pinned. After that, I'd start removing version pins.

            Source https://stackoverflow.com/questions/65735532

            QUESTION

            The conflict is caused by: The user requested tensorboard==2.1.0 tensorflow 1.15.4 depends on tensorboard<1.16.0 and >=1.15.0
            Asked 2020-Dec-10 at 00:17

            I am trying to install a package VIBE from a git repo and inistally I was installing its dependencies. The code is located here: https://github.com/mkocabas/VIBE how should I fix this?

            Here's the error I got:

            ...

            ANSWER

            Answered 2020-Dec-10 at 00:17

            QUESTION

            Set FFmpeg path for scikit-video outside python
            Asked 2019-Dec-02 at 11:32

            Is it possible to set the path of ffmpeg for scikit-video module? I know I can set using skvideo.setFFmpegPath(path). Is there any environment variable that I can set, so that everytime I import skvideo.io, it picks the defined path?

            ...

            ANSWER

            Answered 2019-Dec-02 at 11:32

            skvideo does not directly support taking the ffmpeg path from an environment variable. But you can adjust the system search path by setting the PATH environment variable:

            Source https://stackoverflow.com/questions/59117960

            QUESTION

            Video to numpy on disk
            Asked 2017-Aug-10 at 16:58

            I have a .mp4 video file that I would like to get into an numpy array and store on disk with numpy.memmap, but it is too large to read in all at once. I know how to process the file frame by frame with scikit video, but not how to then pump that to a single numpy file on disk. Does anyone know how this can be done?

            ...

            ANSWER

            Answered 2017-Aug-10 at 16:58

            An uncompressed video is a large amount of data...this answer gives you some idea of how much memory you'd need ("roughly 33 GB per minute for 8-bit 24 fps").

            I remember attempting to do something similar when I was getting started with openCV. I'd suggest you're probably coming at your problem wrong. But if you really want to do it, you can use numpy.save.

            This answer has some good tips on better data formats for large data sets.

            Source https://stackoverflow.com/questions/45617840

            QUESTION

            How to isolate one specific key on a python dictionary.
            Asked 2017-Jul-22 at 03:16

            I need to read some metadata from a lot of video files. After some research I bumped on http://www.scikit-video.org. and I used skvideo.io.ffprobe which gave me the result that I wanted. It returns a dictionary with the info I'm looking for.

            It looks like this:

            ...

            ANSWER

            Answered 2017-Jul-22 at 01:08

            You have a list as the value to the key "tag", so to access it you'll need to get the list out of the dictionary as so.

            Source https://stackoverflow.com/questions/45249619

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

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            Install scikit-video

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