https://github.com/multi-template-matching/multitemplatematching-knime
Implementation of object(s) detection with one or multiple templates in KNIME
https://github.com/multi-template-matching/multitemplatematching-knime
knime microscopy object-detection opencv template-matching
Last synced: 9 months ago
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Implementation of object(s) detection with one or multiple templates in KNIME
- Host: GitHub
- URL: https://github.com/multi-template-matching/multitemplatematching-knime
- Owner: multi-template-matching
- License: gpl-3.0
- Created: 2019-02-14T12:01:23.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2020-11-03T14:07:32.000Z (over 5 years ago)
- Last Synced: 2025-02-17T00:17:50.108Z (over 1 year ago)
- Topics: knime, microscopy, object-detection, opencv, template-matching
- Homepage: https://multi-template-matching.github.io/Multi-Template-Matching/
- Size: 580 KB
- Stars: 2
- Watchers: 3
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# MultipleTemplateMatching-KNIME
Implementation of object(s) detection with one or multiple templates in KNIME.
Refer to the [wiki section](https://github.com/multi-template-matching/MultipleTemplateMatching-KNIME/wiki) for installation, video tutorial...
The second workflow (nearest template) allows to do classification with a set of templates.
An image thus gets classified as the category of the top-score template, or as outlier if no score is above a user-defined threshold.
# Installation
The latest workflow version can be downloaded from the [KNIME Hub](https://kni.me/w/9i0_HPPQlbNzW598).
In addition to the workflow, a python environment with the Multi-Template-Matching package is necessary.
`pip install Multi-Template-Matching` (case sensitive)
and finally setup the python envirronment in KNIME.
