def image_preprocessor(image):
image = cv2.bitwise_not(image)
image = im.gauss_filter(image, (3, 3))
image = im.equalize_light(image)
image = im.light(image, bright=-20, contrast=-20)
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
image = im.threshold(image, min_limit=127)
return image
def posprocessor(image):
# image = im.threshold(image)
# kernel = np.ones((5,5), np.uint8)
# image = cv2.dilate(image, kernel, iterations=1)
# image = im.median_filter(image, 11)
# image = im.median_filter(image, 7, iterations=6)
# image = im.median_filter(image, 5, iterations=6)
# image = cv2.erode(image, kernel, iterations=1)
# image = im.median_filter(image, 3, iterations=6)
return im.threshold(image)
def image_preprocessor(image):
image = im.equalize_light(image)
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
black_level = im.back_in_black(image)
image = im.gauss_filter(image, (3, 3))
image = im.light(image, bright=-30, contrast=-30)
if not black_level:
image = cv2.bitwise_not(image)
kernel = np.ones((5, 5), np.uint8)
mask = cv2.erode(image, kernel, iterations=1)
mask = cv2.dilate(mask, kernel, iterations=1)
image = np.subtract(image, mask)
return im.threshold(image, clip=5)
def label_preprocessor(label):
label = cv2.cvtColor(label, cv2.COLOR_BGR2GRAY)
label = im.threshold(label, min_limit=127)
return label
def image_preprocessor(image):
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
image = im.threshold(image, min_limit=127)
return cv2.bitwise_not(image)
def posprocessor(image):
return im.threshold(image)
def posprocessor(original, image):
image = cv2.resize(image, original.shape[:2][::-1])
return im.threshold(image)
def posprocessor(original, image):
pp = importlib.import_module("%s.%s.%s" % (const.dn_DIP, const.dn_PROCESSING, const.IMG_PROCESSING))
image = cv2.resize(image, original.shape[:2][::-1])
image = pp.posprocessor(image)
return im.threshold(image)
