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WIP : doc for TrackMate-YOLO
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---
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title: TrackMate-YOLO
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categories: [Detection,icTracking,Deep Learning]
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icon: /media/icons/YOLO-logo.png
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description: Cellpose-SAM integration in TrackMate.
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categories: [Segmentation,Tracking,Machine Learning]
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artifact: sc.fiji:TrackMate-YOLO
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---
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{% include img src="/media/plugins/trackmate/detectors/cellpose/trackmate-cellpose-sam-R2_multiC.gif" width='400' %} {% include img src="/media/plugins/trackmate/detectors/cellpose/trackmate-cellpose-sam-01.png" width='200' %}
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This page describes a detector module for [TrackMate](/plugins/trackmate/index) that relies on [YOLO](https://github.com/ultralytics/ultralytics), an AI-based detection algorithm, popular for natural images.
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It is not included in the core of TrackMate and must be installed via its own [update site](/update-sites/following).
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It also requires YOLO to be installed on your system and working independently.
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If you use this detector for your research, please cite the YOLO webiste
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_Jocher, G., Qiu, J., & Chaurasia, A. (2023). Ultralytics YOLO (Version 8.0.0) [Computer software]. https://github.com/ultralytics/ultralytics_
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## Installation
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We need to subscribe to an extra update site in Fiji, and have a working installation of cellpose on your system.
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### TrackMate-YOLO update site
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In Fiji, go to {% include bc path='Help|Update...' %}. Update and restart Fiji until it is up-to-date. Then go to the update menu once more, and click on the `Manage update sites` button, at the bottom-left of the updater window. A new window containing all the known update sites will appear. Click on the **TrackMate-YOLO** check box and restart Fiji one more time.
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### Cellpose-SAM

media/icons/YOLO-logo.png

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