18、OpenCV Python 简单实现一个图片生成（类似抖音生成字母人像）

 __author__ = "WSX"
 import cv2 as cv
 import numpy as np

 def local_threshold(img):  #局部阈值
     gray = cv.cvtColor(img , cv.COLOR_BGR2GRAY)  #首先变为灰度图
     binary = cv.adaptiveThreshold( gray ,255 , cv.ADAPTIVE_THRESH_GAUSSIAN_C , cv.THRESH_BINARY, 25 , 10,)#255 最大值
     #上面的 有两种方法ADAPTIVE_THRESH_GAUSSIAN_C （带权重的均值）和ADAPTIVE_THRESH_MEAN_C（和均值比较）
     #blockSize 必须为奇数 ，c为常量（每个像素块均值 和均值比较 大的多余c。。。少于c）
     #ret 阈值 ， binary二值化图像
     cv.imshow("binary", binary)
     return binary

 def jinzita( level ,img ):
     temp = img.copy()
     level = level
     pyr_img = []
     for i in range(level):
         dst = cv.pyrDown( temp )  #pyrup 和pyrDown 相反
         temp = dst.copy()
     return temp

 def result(binary):
     w , h = binary.shape[:2]
     print(binary)
     print(w,h)
     # temp = np.zeros((w ,h))
     # temp = list(temp)
     #temp = []; tt = []
     with open("result.txt","r+") as f:
         for i in range(w):
             for j in range(h):
                 if binary[i,j] == 0:
                     temp = ""
                 elif binary[i,j] == 255:
                     temp = ""
                 f.write(temp)
             f.write("\r\n")
         f.close()
     #print(temp.shape)
 def main():
     img = cv.imread("1.JPG")
     #cv.namedWindow("Show", cv.WINDOW_AUTOSIZE)
     cv.imshow("Show", img)
     t = jinzita(3, img)
     binary=local_threshold(t)
     result(binary)
     cv.waitKey(0)
     cv.destroyAllWindows()

 main()

改进了一下下：

 __author__ = "WSX"
 import cv2 as cv
 import numpy as np

 def local_threshold(img):  #局部阈值
     gray = cv.cvtColor(img , cv.COLOR_BGR2GRAY)  #首先变为灰度图
     binary = cv.adaptiveThreshold( gray ,255 , cv.ADAPTIVE_THRESH_GAUSSIAN_C , cv.THRESH_BINARY, 25 , 10,)#255 最大值
     #上面的 有两种方法ADAPTIVE_THRESH_GAUSSIAN_C （带权重的均值）和ADAPTIVE_THRESH_MEAN_C（和均值比较）
     #blockSize 必须为奇数 ，c为常量（每个像素块均值 和均值比较 大的多余c。。。少于c）
     #ret 阈值 ， binary二值化图像
     cv.imshow("binary", binary)
     return binary

 def jinzita( level ,img ):
     temp = img.copy()
     level = level
     pyr_img = []
     for i in range(level):
         dst = cv.pyrDown( temp )  #pyrup 和pyrDown 相反
         temp = dst.copy()
     return temp

 def result(binary):
     w , h = binary.shape[:2]
     print(binary)
     print(w,h)

     with open("result.txt", "w") as f: #初始化文件
         f.write("")
         f.close()
     with open("result.txt","r+") as f:
         for i in range(w):
             for j in range(h):
                 if binary[i,j] == 0:
                     temp = "●"
                 elif binary[i,j] == 255:
                     temp = "○"
                 f.write(temp)
             f.write("\r\n")
         f.close()
     #print(temp.shape)
 def main():
     img = cv.imread("1.JPG")
     #cv.namedWindow("Show", cv.WINDOW_AUTOSIZE)
     cv.imshow("Show", img)
     t = jinzita(3, img)
     binary=local_threshold(t)
     result(binary)
     cv.waitKey(0)
     cv.destroyAllWindows()

 main()