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 typed vision outputs
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; typed vision predictions; tiling; rendering and logging |
See docs/PACKAGES.md
for direct package installs, umbrella profiles, and the full package matrix.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ml_pipes_vision-0.1.0rc2.tar.gz.
File metadata
- Download URL: ml_pipes_vision-0.1.0rc2.tar.gz
- Upload date:
- Size: 20.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eec738a0d7df28826230605602af809b6c1d7b76b1df05c4086447ba6bf14244
|
|
| MD5 |
c4867a5f25c37ef46903ccc1d64387f9
|
|
| BLAKE2b-256 |
2710209dd8c6808d09a15b769996cb2ba5be2704f3eccf0e6362108882871a24
|
File details
Details for the file ml_pipes_vision-0.1.0rc2-py3-none-any.whl.
File metadata
- Download URL: ml_pipes_vision-0.1.0rc2-py3-none-any.whl
- Upload date:
- Size: 21.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bb4cbea0de50ec3dd9b22feb8557f667fef5e6856f09705ce4043555b851d7ef
|
|
| MD5 |
1052b1e790fa7d964eed7495688f1d59
|
|
| BLAKE2b-256 |
0bd907f0ac2a44ce51d57b0c7da57983b11201b8ac335051c8084f42dc2369c6
|
