KrISS feed 8.7 - A simple and smart (or stupid) feed reader. By Tontof
  • Monday 20 November 2017 - 15:59

    Opencv is an amazing Open Source Computer Vision Library. Today We’re going to hack a little bit with it. The idea is track blue objects. Why blue objects? Maybe because I’ve got a couple of them in my desk. Let’s start.

    The idea is simple. We’ll create a mask. Our mask is a black and white image where each blue pixel will turn into a white one and the rest of pixels will be black.

    Original frame:

    Masked one:

    Now we only need put a bounding rectangle around the blue object.

    import cv2
    import numpy
    cam = cv2.VideoCapture(0)
    kernel = numpy.ones((5 ,5), numpy.uint8)
    while (True):
        ret, frame =
        rangomax = numpy.array([255, 50, 50]) # B, G, R
        rangomin = numpy.array([51, 0, 0])
        mask = cv2.inRange(frame, rangomin, rangomax)
        # reduce the noise
        opening = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernel)
        x, y, w, h = cv2.boundingRect(opening)
        cv2.rectangle(frame, (x, y), (x+w, y + h), (0, 255, 0), 3), (x+w/2, y+h/2), 5, (0, 0, 255), -1)
        cv2.imshow('camera', frame)
        k = cv2.waitKey(1) & 0xFF
        if k == 27:

    And that’s all. A nice hack for a Sunday morning

    Source code in my github account