def sharpen(img):
rh, rw, rc = img.shape
img2 = np.zeros((rh, rw, 3), dtype=np.uint8);
kernel_size = 3
scale = 1
delta = 0
ddepth = cv2.CV_64F
img2 = cv2.convertScaleAbs(cv2.Laplacian(img,ddepth,ksize = kernel_size,scale = scale,delta = delta))
sharpened = cv2.addWeighted(img, 1, img2, -0.5, 0)
cv2.imshow('original img', img)
cv2.imshow('sharpened img', sharpened)
cv2.waitKey(5000)
cv2.destroyAllWindows()
def is_blurred(gray_frame, threshold):
blurness = np.max(cv2.convertScaleAbs(cv2.Laplacian(gray_frame, cv2.CV_64F)))
if blurness > threshold:
return False
else:
return True
def is_blurred(gray_frame, threshold):
blurness = np.max(cv2.convertScaleAbs(cv2.Laplacian(gray_frame,cv2.CV_64F)))
if(blurness > threshold):
return False
else:
return True
def get_blurriness(gray_img):
blurriness = np.max(cv2.convertScaleAbs(cv2.Laplacian(gray_img,8)))
print blurriness
return blurriness
def get_blurriness(gray_img):
blurriness = np.max(cv2.convertScaleAbs(cv2.Laplacian(gray_img, 8)))
print blurriness
return blurriness