def main(sourcedatafolder): abweichung_total = 0 # Internetbeiträge zum Thema "HSV und Graustufen": # https://stackoverflow.com/questions/23811638/convert-hsv-to-grayscale-in-opencv # https://de.mathworks.com/matlabcentral/answers/312101-how-to-convert-gray-image-to-hsv-plane-v-value-image # https://stackoverflow.com/questions/38136291/why-the-gray-scale-image-is-different-from-value-channel-of-hsv-image?rq=1 for file in glob.glob(join(sourcedatafolder, "*")): # load images image_1 = load_image_in_hsv(file) # load with OpenCV image_2 = bif.mode(bif.load(file), 'gray') # load with Pillow abweichung_img = 0 count = 0 for x in range(len(image_1)): # compare V channel with gray pixel for y in range(len(image_1)): v_channel = image_1[x][y][2] # x == row ; y == column gray_pixel = image_2.getpixel((y, x)) # y == row ; x == column abw_current = v_channel - gray_pixel # berechne Abweichung abweichung_img += abw_current # summiere Abweichungen für ein Bild count += 1 # print(str(v_channel) + " -- " + str(gray_pixel)) print("Abweichung: " + str( abweichung_img / count)) # Durchschnittliche Abweichung je Bild print("----------") abweichung_total += abweichung_img / count # füge Abweichung des einzelnen Bildes zu Gesamtabweichung hinzu print( "Durchschnittliche Abweichung: " + str(abweichung_total / 500) ) # Durchschnittliche Abweichung in allen Bildern ; 500 ist die Anzahl der Testbilder
def main(sourcedatafolder, targetdatafolder, documentationfile, docstring, tail): if not os.path.exists(targetdatafolder): os.makedirs(targetdatafolder) for file in glob.glob(sourcedatafolder + "/*"): basename, ext = os.path.basename(file).split(".") image = bif.load(file) image = bif.resize(image, 500, 500) image = bif.mode(image, "bw") bif.save(image, basename, targetdatafolder) docfile.write(sourcedatafolder, targetdatafolder, documentationfile, docstring, tail, __file__)