Part 5 — Integrate custom tracker into Videos Annotator tool [OpenCV Tracker]
In this part, we will learn how to integrate any tracker into Videos Annotator.
Table of contents
Step 1 — Videos Annotator?
Ok. This is the video annotation tool available in Supervisely. To launch the Videos Annotator, click on the videos dataset. Done!
Step 2 — Trackers
Supervisely has two types of tracking algorithms:
Predefined — our base tracking solutions
Apps — custom tracking solutions
They become available when you select the annotated object. In this part, we will integrate our own tracker (Apps).
Step 3 — Creating the APP
1. Add session tag to config
config.json (partially)
2. Handle track command
How to handle commands — see here. The most important thing is to write a handler for the track command.
src/main.py (partially)
The OpenCV tracker logic is described here. You can replace it with your own code (your own tracker).
Step 4 — Results
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