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- # Highlights Pipeline
-
- Purpose: automatically find and extract interesting moments from gaming footage videos to make highlights
-
- ## Installation
-
- This repository provides a requirements.txt file. It is strongly recommended that this is used with a virtuenv:
-
- ```
- python -m venv .env
- pip intall -r requirements.txt
- ```
-
- This repository does not bundle [laughter-detection](https://github.com/jrgillick/laughter-detection). To use that please follow the instructions in that projects README.
-
- It is recommended to use the [batched version of faster-whisper](https://github.com/SYSTRAN/faster-whisper?tab=readme-ov-file#batched-faster-whisper). Please note the version that ships on pypi does not include this version. It can be installed with pip by using their repo:
-
- ```
- pip install --force-reinstall "faster-whisper @ https://github.com/SYSTRAN/faster-whisper/archive/refs/heads/master.tar.gz"
- ```
-
- ## Issues
-
- When using faster-whisper with long media files (over 3 hours) and a CPU model it was found that it was killed OOM. There are a couple of issues noting this:
- - [[1]](https://github.com/SYSTRAN/faster-whisper/issues/390)
- - [[2]](https://github.com/SYSTRAN/faster-whisper/issues/249).
-
- As a workaround you may wish to consider segmenting long media files before using them with the pipeline.
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