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Automatically create highlight videos from users' past broadcasts on Twitch and upload them to YouTube.

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AutoVOD

A Python script to automatically scan a Twitch user's past broadcasts and make highlight videos for every day, combining the important moments from all videos from during that day into a single clip.

By default this works by detecting the loudest moments in the stream audio. There is an optional way to scan the broadcast at a specified framerate and inspect individual frames and their pixel values to extract useful information and determine parts of the video to be highlighted.

Dependencies

  • concat - to download videos from Twitch.
  • youtubeuploader - to upload videos to YouTube.
  • Python 3 with packages: moviepy, requests, numpy
  • ImageMagick
  • ffmpeg

Installation

  • Move the concat and youtubeuploader binaries into the bin folder.
  • Provide youtubeuploader with a client_secrets.json file in the bin folder. See youtubeuploader's README.
  • Acquire a Twitch API client ID used to get info about channels and videos and type it in the variable twitch_client_id in autovod.py.
  • Acquire a regular Twitch account client ID used to download the VODs and type it in the variable twitch_download_client_id in autovod.py. See the dependendency's concat Wiki FAQ page.
  • Configure other settings, such as the Twitch channel name, at the beginning of the autovod.py Python script.
  • Optionally install the font provided in the resources folder that is suitable for the text in final rendered clips.

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Automatically create highlight videos from users' past broadcasts on Twitch and upload them to YouTube.

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