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Commit 6f4e3ff

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‎ch04-Image/4.1_imread_imshow.py‎

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print(cv2.__version__)
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# 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。
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#img = cv2.imread('messi5.jpg', cv2.IMREAD_GRAYSCALE)# Load an color image in grayscale 灰度
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img = cv2.imread('messi5.jpg',cv2.IMREAD_UNCHANGED)#包括图像的 alpha 通道
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img = cv2.imread('data/messi5.jpg',cv2.IMREAD_COLOR)#Read in a color image. The transparency of the image will be ignored. Default parameters.
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#img = cv2.imread('data/messi5.jpg', cv2.IMREAD_GRAYSCALE)# Load an color image in grayscale 灰度
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#img = cv2.imread('data/messi5.jpg',cv2.IMREAD_UNCHANGED) # Load an color image in grayscale 灰度
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img = cv2.resize(img, (640, 480))
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@@ -19,8 +19,8 @@
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#
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rows,cols,ch=img.shape
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print('行/高:',rows,'列/宽:',cols,'通道:',ch)
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#图像的宽对应的是列数, 高对应的是行数。
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print('Row/High:',rows,'Column/wide:',cols,'channel:',ch)
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#The width of the image corresponds to the number of columns, and the height corresponds to the number of rows.
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cv2.namedWindow('image', cv2.WINDOW_NORMAL)#可以调整窗口大小
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# cv2.namedWindow('image', cv2.WINDOW_AUTOSIZE)#自动调整

‎ch04-Image/4.imread_imshow_imwrite.py‎

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import numpy as np
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import cv2
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<<<<<<<HEAD:ch04-Image/4.imread_imshow_imwrite.py
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img = cv2.imread('data/messi5.jpg', 0) #Edit path from missi5.jpg to data/missi5.jpg
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=======
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img = cv2.imread('data/messi5.jpg', 0) # edit by Anucha from messi5.jpg to data/messi5.jpg
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>>>>>>>698971afc5b6779082ec6294047f15e525c2d03b:ch04-图片/4.imread_imshow_imwrite.py
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cv2.imshow('image', img)
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k = cv2.waitKey(0)
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# -*- coding: utf-8 -*-
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import cv2
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import numpy as np
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# Learn arithmetic operations on images, addition, subtraction, bit operations, etc.
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# You can use the function cv2.add() to add two images. Of course, you can also use numpy directly.
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# res=img1+img
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# The size and type of the two images must be the same, or the second image can be a simple scalar value.
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x = np.uint8([250])
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y = np.uint8([10])
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print(cv2.add(x, y)) # 250+10 = 260 => 255
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# [[255]]
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print(x + y) # 250+10=260%256=4
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# [4]
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# 图像混合 # Image mixing
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img1 = cv2.imread('data/ml.png')
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img2 = cv2.imread('data/opencv_logo.jpg')
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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
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# The weight of the first image is 0.7 and the weight of the second image is 0.3
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cv2.imshow('dst', dst)
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cv2.waitKey(0)
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cv2.destroyAllWindows()

‎ch10-图像上的算术运算/10.addWeighted.py‎

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import cv2
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import numpy as np
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# 学习图像上的算术运算 加法 减法 位运算等
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# Learn arithmetic operations on images, addition, subtraction, bit operations, etc.
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# 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 ,
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# You can use the function cv2.add() to add two images. Of course, you can also use numpy directly.
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# res=img1+img
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# 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。
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# The size and type of the two images must be the same, or the second image can be a simple scalar value.
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x = np.uint8([250])
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y = np.uint8([10])
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# [4]
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# 图像混合
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# Image mixing
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img1 = cv2.imread('../data/ml.png')
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img2 = cv2.imread('../data/opencv_logo.jpg')
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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
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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
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cv2.imshow('dst', dst)
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cv2.waitKey(0)

‎ch18-图像梯度/18.Sobel.py‎

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import numpy as np
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from matplotlib import pyplot as plt
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img = cv2.imread('../data/sudoku.jpg', 0)
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img = cv2.imread('data/sudoku.jpg', 0)
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# 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
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laplacian = cv2.Laplacian(img, cv2.CV_64F)
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# 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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