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Lines changed: 5 additions & 5 deletions

Original file line number	Diff line number	Diff line change
`@@ -8,9 +8,9 @@`
`8`	`8`	`print(cv2.__version__)`
`9`	`9`
`10`	`10`
`11`		`-# img = cv2.imread('messi5.jpg',cv2.IMREAD_COLOR)#读入一副彩色图像。图像的透明度会被忽略默认参数。`
`12`		`-#img = cv2.imread('messi5.jpg', cv2.IMREAD_GRAYSCALE)# Load an color image in grayscale 灰度`
`13`		`-img = cv2.imread('messi5.jpg',cv2.IMREAD_UNCHANGED)#包括图像的 alpha 通道`
	`11`	`+img = cv2.imread('data/messi5.jpg',cv2.IMREAD_COLOR)#Read in a color image. The transparency of the image will be ignored. Default parameters.`
	`12`	`+#img = cv2.imread('data/messi5.jpg', cv2.IMREAD_GRAYSCALE)# Load an color image in grayscale 灰度`
	`13`	`+#img = cv2.imread('data/messi5.jpg',cv2.IMREAD_UNCHANGED) # Load an color image in grayscale 灰度`
`14`	`14`
`15`	`15`	`img = cv2.resize(img, (640, 480))`
`16`	`16`
`@@ -19,8 +19,8 @@`
`19`	`19`
`20`	`20`	`#`
`21`	`21`	`rows,cols,ch=img.shape`
`22`		`-print('行/高:',rows,'列/宽:',cols,'通道:',ch)`
`23`		`-#图像的宽对应的是列数, 高对应的是行数。`
	`22`	`+print('Row/High:',rows,'Column/wide:',cols,'channel:',ch)`
	`23`	`+#The width of the image corresponds to the number of columns, and the height corresponds to the number of rows.`
`24`	`24`
`25`	`25`	`cv2.namedWindow('image', cv2.WINDOW_NORMAL)#可以调整窗口大小`
`26`	`26`	`# cv2.namedWindow('image', cv2.WINDOW_AUTOSIZE)#自动调整`

Lines changed: 5 additions & 9 deletions

Original file line number	Diff line number	Diff line change
`@@ -2,11 +2,7 @@`
`2`	`2`	`import cv2`
`3`	`3`	`import numpy as np`
`4`	`4`
`5`		`-# 学习图像上的算术运算加法减法位运算等`
`6`		`-`
`7`		`-# 你可以使用函数 cv2.add() 将两幅图像进行加法运算当然也可以直接使用 numpy ,`
`8`		`-# res=img1+img`
`9`		`-# 两幅图像的大小类型必须一致 ,或者第二个图像可以使一个简单的标量值。`
	`5`	`+# Learn arithmetic operations on images, addition, subtraction, bit operations, etc.`
`10`	`6`
`11`	`7`	`# You can use the function cv2.add() to add two images. Of course, you can also use numpy directly.`
`12`	`8`	`# res=img1+img`
`@@ -20,11 +16,11 @@`
`20`	`16`	`# [4]`
`21`	`17`
`22`	`18`
`23`		`-# 图像混合`
`24`		`-img1 = cv2.imread('data/ml.png')`
`25`		`-img2 = cv2.imread('data/opencv_logo.jpg')`
	`19`	`+# Image mixing`
	`20`	`+img1 = cv2.imread('../data/ml.png')`
	`21`	`+img2 = cv2.imread('../data/opencv_logo.jpg')`
`26`	`22`
`27`		`-dst = cv2.addWeighted(img1, 0.7, img2, 0.3, 0) # 第一幅图的权重是 0.7 第二幅图的权重是 0.3`
	`23`	`+dst = cv2.addWeighted(img1, 0.7, img2, 0.3, 0) # The weight of the first image is 0.7 and the weight of the second image is 0.3`
`28`	`24`
`29`	`25`	`cv2.imshow('dst', dst)`
`30`	`26`	`cv2.waitKey(0)`

Lines changed: 1 addition & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -23,7 +23,7 @@`
`23`	`23`	`import numpy as np`
`24`	`24`	`from matplotlib import pyplot as plt`
`25`	`25`
`26`		`-img = cv2.imread('../data/sudoku.jpg', 0)`
	`26`	`+img = cv2.imread('data/sudoku.jpg', 0)`
`27`	`27`	`# cv2.CV_64F 出图像的深度数据类型可以使用 -1, 与原图像保持一致 np.uint8`
`28`	`28`	`laplacian = cv2.Laplacian(img, cv2.CV_64F)`
`29`	`29`	`# 参数 1,0 为只在 x 方向求一导数最大可以求 2 导数。`

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