LemurPwned/video-sampler
Effective frame sampling for ML applications.
This tool helps researchers, data scientists, and content analysts efficiently select relevant still images from videos or image sequences. You provide video files or streams (even YouTube videos) as input, and it outputs a curated set of frames, removing duplicates and blurry images. It's designed for anyone building machine learning models or performing detailed content analysis on video data.
No commits in the last 6 months. Available on PyPI.
Use this if you need to extract unique, high-quality still images from large video collections for training AI models, performing video summarization, or detailed frame analysis.
Not ideal if you need every single frame from a video or if your primary goal is simple video playback without specific frame extraction needs.
Stars
25
Forks
5
Language
Python
License
MIT
Category
Last pushed
Aug 30, 2025
Commits (30d)
0
Dependencies
10
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