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
