def hue_histogram_as_image(self, hist):

        histimg_hsv = cv.CreateImage( (320,200), 8, 3)

        mybins = cv.CloneMatND(hist.bins)
        cv.Log(mybins, mybins)
        (_, hi, _, _) = cv.MinMaxLoc(mybins)
        cv.ConvertScale(mybins, mybins, 255. / hi)

        w,h = cv.GetSize(histimg_hsv)
        hdims = cv.GetDims(mybins)[0]
        for x in range(w):
            xh = (180 * x) / (w - 1)  # hue sweeps from 0-180 across the image
            val = int(mybins[int(hdims * x / w)] * h / 255)
            cv.Rectangle( histimg_hsv, (x, 0), (x, h-val), (xh,255,64), -1)
            cv.Rectangle( histimg_hsv, (x, h-val), (x, h), (xh,255,255), -1)

        histimg = cv.CreateImage( (320,200), 8, 3)
        cv.CvtColor(histimg_hsv, histimg, cv.CV_HSV2BGR)
        return histimg
Returns a nice representation of a hue histogram
dataset/ETHPy150Open fatcloud/PyCV-time/opencv-official-samples/earlier/camshift.py/CamShiftDemo.hue_histogram_as_image