def check_blank_image(file):
img = cv2.imread(file)
if img is None:
return False
# grary
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# threshold to two value image
ret,thresh = cv2.threshold(img, 150, 255,cv2.THRESH_BINARY)[......]
1 左右拼接(height要求一样)
import cv2
from google.colab.patches import cv2_imshow
img_left = cv2.imread("./left.jpg")
img_right = cv2.imread("./right.jpg")
img = cv2.hconcat([img_left, img_right])
cv2.imwrite("merge.jpg", img)
2 垂直拼接(width要求一样）
i[......]
合理用最简单的拉普拉斯算子，可以参考这篇文章：https://my.oschina.net/u/4611954/blog/4585054
# image = cv2.imread(imagePath)
def variance_of_laplacian(image):
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
return cv2.Laplacian(image, cv2.CV_64F).var()
# 越大越清晰[......]