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__)