mlx-video
mlx-video is a small video preprocessing library for MLX on Apple Silicon.
GitHub: https://github.com/AmiraniLabs/mlx-video
It focuses on the first mile of video ML:
- load video files into
mlx.core.array - sample frames at a target FPS
- resize clips for model input
- convert
uint8frames to normalizedfloat32tensors
Install
pip install mlx-video
Publishing
This package is configured for PyPI Trusted Publishing from the
AmiraniLabs/mlx-video GitHub repository using
.github/workflows/publish.yml.
Quickstart
import mlx_video as mv
frames = mv.load("video.mp4", fps=8) # mx.array [T, H, W, C], uint8 RGB
frames = mv.resize(frames, (224, 224)) # spatial resize
frames = mv.normalize(frames) # float32, ImageNet normalized
API
load(path, fps=None, start_time=None, end_time=None, max_frames=None)
Loads a video into a mx.array with shape [T, H, W, C] in RGB order.
resize(frames, size)
Resizes each frame to (height, width).
to_float(frames, scale=True)
Casts frames to float32. By default values are scaled to [0, 1].
normalize(frames, mean=..., std=...)
Applies channel-wise normalization using ImageNet defaults. Integer inputs are automatically converted to floating point and scaled before normalization.
1 maintainer
Metadata
1 maintainer
Release files for mlx-video 0.1.0
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| File | Size | Uploaded | Provenance | Actions |
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| mlx_video-0.1.0.tar.gz | 5.3 kB | With provenance | Details for mlx_video-0.1.0.tar.gz |
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mlx_video-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for mlx_video-0.1.0-py3-none-any.whl |
Total release size: 10.4 kB
Release files / mlx_video-0.1.0.tar.gz
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| Tags | Python 3 |
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