Learning OpenCV to load and save images 1--

image

• Structured storage of the data
• Image Properties

1. The number of channels
2. Height and width
3. Pixel data
4. Bitmap depth

Code

OpenCv python API module loaded in the image

Support for common formats

Reads the video and image

Import CV2 AS CV
 Import numpy AS NP 

DEF video_demo (): # reading video 
    Capture = cv.VideoCapture (0)
     the while (True): 
        RET, Frame = capture.read () 
        Frame = cv.flip (Frame,. 1) # If not this one, about reverses 
        cv.imshow ( " Video " , Frame) 
        c = cv.waitKey (50 )
         IF c == 27 :
             BREAK 


DEF get_image_info (Image):
     Print (of the type (Image)) # imread read data type is numpy, ndarray
    Print (image.shape)
     Print (image.size)
     Print (image.dtype) 
    pix_data = np.array (Image); # acquires pixel data 
    Print (pix_data) 


the src = cv.imread (R & lt ' H: \ Coding \ opencvpicture \ coins.jpg ' ) 
cv.namedWindow ( " INPUT image " , cv.WINDOW_AUTOSIZE) 
cv.imshow ( " INPUT image " , the src) 
gray = cv.cvtColor (the src, cv.COLOR_BGR2GRAY) # obtain a gray image 
get_image_info (src) # call the function to get the channel data 
cv.imwrite (r "H: \ Coding \ python_opencv_tutorial_codes \ Practice \ result.png " , Gray) # stored in the image to a designated position 
# video_demo () 
cv.waitKey (0) 
cv.destroyAllWindows ()