Python for OPENCV development----simple picture manipulation __python

[Python]   View plain copy #!/usr/bin/python2   # coding: utf-8      import  cv2   import numpy as np      #原始图片    image =  Cv2.imread ('./meinv2_original.jpg ',  cv2. Cv_load_image_color)    cv2.imshow (' Original image ',  image)       #截取图片的一部分 , that is, ROI (region of interest)    #因为在python  cv2 the picture in the Ndarray format, so directly with the Ndarray    # Slicing is a very easy way to intercept ROI, just like the fragment usage of the list in Python, except for    #这个是在二维数组上分片    crop = image[0:201,  100:301]  #分片都是不包含后面一个参数的, so many 1   cv2.imshow (' Crop image ',  crop)    Cv2.imwrite ( './meinv2_crop.jpg ',  crop       #处理过的灰度图片    gray = cv2.cvtcolor ( Image, cv2. Color_bgr2gray)    cv2.imshow (' Gray image ',  gray)    cv2.imwrite ('./meinv2_gray.jpg ') ,  gray)       #在图片上Draw a Box    imagerect = image.copy ()    p1 =  (300, 200)    P2  =  (500, 300)    color =  (0, 0, 255)   #BGR的顺序, this color is red     Cv2.rectangle (Imagerect, p1, p2, color)    cv2.imshow (' rectangle an  Image ',  imagerect    cv2.imwrite ('./meinv2_rect.jpg ',  imagerect)       # Picture scaling    size =  (400, 300)    imageresize = cv2.resize (image,  Size)    #可以不指定缩放的图片大小, and specify the scaling ratio, such as below, to zoom to half the size    #即将缩放尺寸设为0, and then set the zoom ratio in the XY direction respectively    # Imageresize = cv2.resize (image,  (0,0),  fx=0.5, fy=0.5)    cv2.imshow (' Resize  an image ',  imageresize)    cv2.imwrite ('./meinv2_resize.jpg ',  imageresize)        #保留单一通道色彩, the channel order is bgr   b = image.copy ()    b[:,:,1] = 0    b[:,:,2] = 0   cv2.imshow (' Blue image ',  b)    cv2.imwrite ('./meinv2_blue.jpg ',  b       g = image.copy ()    g[:,:,0] = 0   g[:, :,2] = 0   cv2.imshow (' Green image ',  g)    cv2.imwrite ('./meinv2_ Green.jpg ',  g)       r = image.copy ()