metal3d/keras-video-generators
Keras generators to generate sequences from videos as input
This project helps machine learning engineers or researchers working with video data for tasks like action recognition or anomaly detection. It takes collections of video files and efficiently prepares sequences of individual frames from them. The output is ready-to-use batches of video frames that can be fed directly into deep learning models, especially those designed for sequential data.
100 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to train deep learning models on video data and want an efficient way to extract and pre-process frame sequences for Keras or TensorFlow.
Not ideal if you are not working with Keras/TensorFlow, or if you only need to process single images rather than sequences of frames from videos.
Stars
100
Forks
30
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 25, 2023
Commits (30d)
0
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