Easy to use multi object tracking package based on colors

• Check out the examples folder, or go straight to the sample tracking app which is an extended version of the script below. This script tracks the red-ish objects, if you'd like to track another color, then start with the hsv_color_detector.py script

  $ 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

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

Gabor Vecsei

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