Astroalign

Latest version: v2.5.1

Safety actively analyzes 613544 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 1 of 4

2.5.0

In this release:

- Mask in source or target image passes over the mask to source detection. Now is possible to exclude regions outside the region of interest ROI to find the match between images.
- Use of numpy's new random number generator API. This requires numpy version to be at least 1.17.
- Updates to README.md.

2.4.2

This release:

- Gets rid of `ez_setup.py` and uses `pyproject.toml` instead.
- Lazy loads `estimate_transform` and `matrix_transform` from scikit-image for faster import time.
- Drops support for python 3.6 and 3.7 from unit testing.

2.4

In this release:

Improved RANSAC algorithm

* The new `ransac` will exhaust all possibilities in a pseudo-random way. The exploration is done on a **single** (fixed) realization of all possible matches and it will exhaust the list of candidate matches before failing.
* `ransac` now iterates 3 times searching for the maximum number of matches before returning. This ensures (almost certainly in a statistical sense) that the results will be the same between calls.
* The new `ransac` is virtually deterministic, despite its stochastic search nature.

2.3.2

In this release:

* Fix bug (65) that would cause register to fail when it's passed a Image object (from pillow)
* Migrated unit tests to Github Actions

2.3.1

In this release

* Added support to work with color images.

Check the details in the [documentation](https://astroalign.readthedocs.io/en/latest/tutorial.html#images-with-rgb-channels).

2.3

Page 1 of 4

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.