opencv learning notes

1. Data reading - image

cv. The imread() function reads the image

1.1 several ways to read images:

                        cv.IMREAD_COLOR: loading color images

                        cv.IMREAD_GRAYSCALE: load grayscale image

                        cv.IMREAD_UNCHANGED: loads images, including alpha channels

import numpy as np
import cv2 as cv

#Load color grayscale image
img = cv.imread('C:\Users\Dell\Pictures\Camera Roll\crown.png',0)

The operation results are as follows:

2. Display image

cv.imshow() window automatically fits image size

cv.imshow('C:\Users\Dell\Pictures\Camera Roll\crown.png',img)

The operation results are as follows:

Note: where, CV Waitkey() is a keyboard specified function that waits for the specified milliseconds for any keyboard event. If you press any key during this time, the program will continue to run. If * * 0 * * is passed, it will wait indefinitely for a keystroke. It can also be set to detect specific keys, CV Destroyallwindows() will only destroy all the windows we created. If you want to destroy any particular window, use the function cv Destroywindow() passes the exact window name as a parameter.

3. Write image

cv.imwrite file name, image to be saved), for example: CV imwrite('messigray.png',img)

import numpy as np
import cv2 as cv

#Read image
img = cv.imread('messi5.jpg',0)  
#Display image
#wait for
k = cv.waitKey(0)
if k == 27:         # Wait for ESC to exit
elif k == ord('s'): # Wait for keywords, save and exit

 4. Read video from camera

Capture video: create VideoCapture object (parameters: device index / video file)

import numpy as np
import cv2 as cv
cap = cv.VideoCapture(0)
if not cap.isOpened():
    print("Cannot open camera")
while True:
    # Frame by frame capture
    ret, frame =
    # ret is True if the frame is read correctly
    if not ret:
        print("Can't receive frame (stream end?). Exiting ...")
    # That's all for our operations on the framework
    gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
    # Display result frame e
    cv.imshow('frame', gray)
    if cv.waitKey(1) == ord('q'):
# Release the catcher after all operations are completed
cv.destroyAllWindows() returns a Boolean value (True / False). If the frame is read correctly, it will be True. Therefore, you can check the end of the video by checking this return value.

Sometimes, the cap may not have initialized the capture. In this case, this code displays an error. You can use * * cap The isepened * * () method checks whether it is initialized. If True, then OK. Otherwise, use * * cap Open * * () open it.

You can also use cap The get (propId) method accesses some functions of the video, where propId is a number between 0 and 18. Each number represents the properties of the video (if applicable to the video), and the complete details can be displayed here: cv::VideoCapture::get(). Some of these values can use cap Set (propId, value). Value is the new value you want.

For example, I can use cap Get (CV. Cap_prop_frame_width) and cap Get (CV. Cap_prop_frame_height) check the width and height of the frame. By default, its resolution is 640x480. But I want to change it to 320x240. Just use and. ret = cap.set(cv.CAP_PROP_FRAME_WIDTH,320) and ret = cap.set(cv.CAP_PROP_FRAME_HEIGHT,240).


Keywords: Python OpenCV

Added by bobcooper on Sun, 19 Dec 2021 23:04:38 +0200