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https://github.com/fcakyon/mmdetection-object-tracker
A lightweight script for performing Kalman filter based object tracking using MMDetection models.
https://github.com/fcakyon/mmdetection-object-tracker
colab kalman-tracking mmdet mmdetection norfair notebook object-detection object-tracking python pytorch realtime-tracking torch tracking varifocal-loss varifocalnet vfnet
Last synced: about 2 months ago
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A lightweight script for performing Kalman filter based object tracking using MMDetection models.
- Host: GitHub
- URL: https://github.com/fcakyon/mmdetection-object-tracker
- Owner: fcakyon
- License: mit
- Created: 2021-06-23T18:37:29.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-06-26T09:35:33.000Z (over 3 years ago)
- Last Synced: 2024-12-26T20:51:33.613Z (about 2 months ago)
- Topics: colab, kalman-tracking, mmdet, mmdetection, norfair, notebook, object-detection, object-tracking, python, pytorch, realtime-tracking, torch, tracking, varifocal-loss, varifocalnet, vfnet
- Language: Python
- Homepage:
- Size: 27.3 KB
- Stars: 23
- Watchers: 4
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
##
Instructions1. Install Norfair with `pip install norfair[video]`.
2. Install MMDetection with `pip install torch mmcv-full mmdet`.
3. Run `python demo.py `.
4. Bonus: Use additional arguments `--model_path`, `--config_path`,`--img_scale`, `--conf_thres`, `--max_track_distance`, `--track_points` as you wish.##
ExplanationThis example tracks objects using a single or double point per detection: the centroid or the two corners of the bounding boxes around objects returned by MMDetection Detector.
### VFNet (MMDetection) tracking demo:
![]()