Easy to use multi object tracking package based on colors 🎨
pip install color-tracker
pip install git+https://github.com/gaborvecsei/Color-Tracker.git
hsv_color_detector.py
script ``` python
$ python examples/tracking.py --help
usage: tracking.py [-h] [-low LOW LOW LOW] [-high HIGH HIGH HIGH]
[-c CONTOUR_AREA] [-v]
optional arguments:
-h, --help show this help message and exit
-low LOW LOW LOW, --low LOW LOW LOW
Lower value for the HSV range. Default = 155, 103, 82
-high HIGH HIGH HIGH, --high HIGH HIGH HIGH
Higher value for the HSV range. Default = 178, 255,
255
-c CONTOUR_AREA, --contour-area CONTOUR_AREA
Minimum object contour area. This controls how small
objects should be detected. Default = 2500
-v, --verbose
```
Simple script:
import cv2
import color_tracker
def tracker_callback(t: color_tracker.ColorTracker):
cv2.imshow("debug", t.debug_frame)
cv2.waitKey(1)
tracker = color_tracker.ColorTracker(max_nb_of_objects=1, max_nb_of_points=20, debug=True)
tracker.set_tracking_callback(tracker_callback)
with color_tracker.WebCamera() as cam:
# Define your custom Lower and Upper HSV values
tracker.track(cam, [155, 103, 82], [178, 255, 255], max_skipped_frames=24)
```
This is a tool which you can use to easily determine the necessary HSV color values and kernel sizes for you app
You can find the HSV Color Detector code here
python examples/hsv_color_detector.py
If you feel like it is a useful package and it saved you time and effor, then you can donate a coffe for me, so I can keep on staying awake for days 😃
Gábor Vecsei
@misc{vecsei2018colortracker,
doi = {10.5281/ZENODO.4097717},
howpublished={\url{https://github.com/gaborvecsei/Color-Tracker}},
author = {Gabor Vecsei},
title = {Color Tracker - Multi Object Tracker},
year = {2018},
copyright = {MIT License}
}
Version | Tag | Published |
---|---|---|
0.1.1 | 2yrs ago | |
0.0.4 | 4yrs ago | |
0.0.3 | 5yrs ago | |
0.0.2 | 5yrs ago |