Release notes from MultiTemplateMatching-Python

2.0.1

2024-11-19T16:38:52Z

No content.

Version 2.0.0

2024-06-04T17:05:07Z

Major release, dropping the dependency on pandas.
The list of hit returned by matchTemplates (and consumed by other functions) is directly a list.

Also added extensive type hints to functions

Version 1.6.6

2023-08-31T08:23:08Z

Changed licence to MIT for easier integration with other projects

Version 1.6.5 - Handle 0-width/height images

2023-06-12T14:39:13Z

Minor version that throws a more explicit error message when providing 0-width or height image or template.
Also added pip install matplotlib to tutorial notebooks since not an dependency of MTM.

Version 1.6.4

2023-03-03T10:21:06Z

Provide faster search with mulitple templates by parallelizing the search -> PR by @bartleboeuf (thanks !)

Version 1.6.3 - Use latest OpenCV

2021-11-24T12:02:05Z

Update internal NMS code to work with latest OpenCV, and force opencv version to min 4.5.4,
Fix #14

Version 1.6.2.post1 - Fix OpenCV dependency

2021-11-24T11:42:27Z

The version fixes issue with the latest version of opencv (4.5.4, maybe before)), for which cv2.NMSBoxes return an array of different shape.
Just by limiting the version of OpenCV to max 4.3.0.
Next release of MTM will be modified to use the latest version of OpenCV.

1.6.2 - Check templates sizes

2021-10-05T15:37:22Z

As suggested in issue #11, the size of the template is checked before any computation to make sure they fit in the search region or image.

Also updated requirements and packaging (pyproject.toml)

Add support for mask with template

2020-08-20T09:25:39Z

The comparison of the pixel values can be limited to a fraction of the template by providing an associated mask image, which should have the same dimension than the template.
To do so the tuple for a given template should be
("label", template_array, mask_array)

using a mask is only possible with method 0/TM_SQ_DIFF (not compatible with the Non-Maxima suppression though) and 3/TM_CCORR_NORMED

using a mask is optional (and not always beneficial)
the previous format
("label", template_array) is still acceptable and within the list of templates, some can have a mask while other not.

See new tutorial with mask.

Fix issue when no detections

2020-08-04T10:06:26Z

See release note for 1.5.3.post2