整理LSB代码文件，上传仓库

Author: rg4sun

.DS_Store

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+import numpy as np 
+from cv2 import cv2 as cv 
+import math 
+
+def falseRate(img1,img2):
+    img1_float = np.array(img1,dtype=np.float)
+    img2_float = np.array(img2,dtype=np.float)
+    return np.mean(abs(img1_float-img2_float))/256
+
+if __name__ == "__main__":
+    imgEmbedPath = input('embed img path(orignal watermark):')
+    imgExtractPath = input('extract img path(extracted watermark):')
+    imgEmbed = cv.imread(imgEmbedPath,cv.IMREAD_UNCHANGED)
+    imgExtract = cv.imread(imgExtractPath,cv.IMREAD_UNCHANGED)
+    print('「提取出来的水印」的错误率：{}'.format(falseRate(imgEmbed,imgExtract)))
+    

falseRate.py

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+from cv2 import cv2 as cv
+import sys
+
+def genNeedImg(imgPath,size=None,flag='binary'):
+    '''
+    用于生成指定大小的灰度图或二值图, imgPath为图像路径
+    size为tuple类型，用于指定生成图像的尺寸, 如：(512,512)，默认为None表示输出原图像尺寸
+    flag为标志转换类型，默认为binary，可选的值为binary或gray
+    '''
+    imgRow = cv.imread(imgPath)
+    if size != None: # 调整图像尺寸
+        imgRow= cv.resize(imgRow,size)
+    imgGray = cv.cvtColor(imgRow,cv.COLOR_RGB2GRAY) # 转换颜色空间为灰度
+    imgName = imgPath[9:].split('.')[0] # 获取图像原始名称
+    if flag == 'gray': # 生成灰度图
+        cv.imwrite('./images/{}_gray.bmp'.format(imgName),imgGray)
+        print('Gray image generated!')
+    else: # 生成二值图
+        ret, imgBinary = cv.threshold(imgGray,127,255,cv.THRESH_BINARY)
+        prop = int(size[0]*size[1]/(512*512)*100) # 以载体图像为512x512，算生成的水印大小占载体图的百分比
+        cv.imwrite('./images/{}_binary{}.bmp'.format(imgName,prop),imgBinary) 
+        print('Binary image generated!')
+        print('threshold:{}'.format(ret)) # 输出转换与之
+
+if __name__ == "__main__":
+    imgName = sys.argv[1]
+    size =[int(sys.argv[2]),int(sys.argv[3])]
+    flag = sys.argv[4]
+    genNeedImg(imgName,tuple(size),flag=flag)