数据增广——图像镜像翻转

import cv2
import copy
import os
 
 
def mirror_imgs(imgs_path,save_path):
 
    for name in os.listdir(imgs_path):
        print(name)
        
        image = cv2.imread(os.path.join(imgs_path,name), 1);
       # image.imshow()
        print(os.path.join(imgs_path,name))
        height = image.shape[0]
        width = image.shape[1]
        #channels = image.shape[2]
        iLR = copy.deepcopy(image)  # 获得一个和原始图像相同的图像，注意这里要使用深度复制
 
        for i in range(height):
            for j in range(width):
                iLR[height-1-i,j] = image[i, j]
        #cv2.imshow('image', image)
        #cv2.imshow('iLR', iLR)
        cv2.imwrite(os.path.join(save_path,name), iLR,
                    [int(cv2.IMWRITE_JPEG_QUALITY), 100])#保存图片
        #cv2.imwrite(os.path.join(save_path,name), IOU,
         #       [int(cv2.IMWRITE_JPEG_QUALITY), 100])#保存图片
        #cv2.waitKey(0)
        #cv2.destroyAllWindows()
 
 
 
 
imgs_path='E:/leaf/'
save_path="E:/leaf/savechuizhi/"
mirror_imgs(imgs_path,save_path)

其中iLR[height-1-i,j] = image[i, j]表示垂直镜像，其他方向的镜像公式如下：

水平镜像可按公式

I = i

J = N - j + 1

垂直镜像可按公式

I = M - i + 1

J = j

对角镜像可按公式

I = M - i + 1

J = N - j + 1

 

iUD[h-1-i,j] = image[i,j]  垂直

iLR[i,w-1-j] = image[i,j]  水平

iAcross[h-1-i,w-1-j] = image[i,j] 垂直+水平