img = cv2.imread(imagePath) histo_tool = HistogramAnalyzer(img) colorAverage = HSBColor(histo_tool.get_hue_average(), histo_tool.get_saturation_average(), histo_tool.get_brigthness_average()) if options_verbose: print("### Average : ") print(colorAverage) print "Temperature : %2f" % colorAverage.temperature() print "Brightness : %2f" % colorAverage.brightness() colorMax = HSBColor(histo_tool.get_hue_max(), histo_tool.get_saturation_max(), histo_tool.get_brigthness_max()) if options_verbose: print("### Maximum : ") print(colorMax) print "Temperature : %2f" % colorMax.temperature() print "Brightness : %2f" % colorMax.brightness() #Select the HSBColor to use between colorAverage or colorMax colorToUse = colorMax ##FaceDetect detector = ImageElementDetect(imagePath, False) # print("Nb faces : " + detector.countFaces()) # hasFaces = detector.hasFaces() # hasFaces = False