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This release is a pre-release and may not be stable for production use.

ml-pipes-vision

ml-pipes-vision adds image-oriented pipeline stages and vision tensor postprocess to ml-pipes.

Use this package for the parts of a pipeline that start with image inputs, prepare them for inference, and turn model results back into user-facing vision predictions. Today it is strongest around image preprocessing, detection, segmentation, density estimation, tiling, and visualization/logging helpers.

Operators can be used as plain callables, but this package is best used inside an ml-pipes pipeline.

Package Reference

Field Value
Package ml-pipes-vision
Guide docs/README.md
Reference docs/INDEX.md
Depends on ml-pipes-core, ml-pipes-tensor
Public modules ml_pipes.vision
Content image input handling; preprocessing; vision tensor postprocess; tiling; rendering and logging

See docs/PACKAGES.md for direct package installs, umbrella profiles, and the full package matrix.

Release files for ml-pipes-vision 0.1.2rc1

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Source distribution (sdist)

Source distribution for ml-pipes-vision 0.1.2rc1
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Built distribution (wheel)

Table of built distributions (wheels) for ml-pipes-vision 0.1.2rc1
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ml_pipes_vision-0.1.2rc1-py3-none-any.whl Python 3 none any Details

Total release size: 43.1 kB

Release files / ml_pipes_vision-0.1.2rc1.tar.gz

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