OpenCV Read Video From Camera

Opencv Python Read Video From Camera


import cv2

captureImage = cv2.VideoCapture(0)

while(True):
  
    ret, frame = captureImage.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    cv2.imshow('image',gray)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

captureImage.release()
cv2.destroyAllWindows()

Comments

OpenCV Get Frame Width and Height in Python

Opencv Get Frame Width and Height import cv2 capture = cv2.VideoCapture( 'readvideo.mp4' ) if capture.isOpened(): w = capture.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH) h = capture.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT) w = capture.get( 3 ) h = capture.get( 4 ) f = capture.get(cv2.cv.CV_CAP_PROP_FPS)

OpenCV Add Border to Image in Python

How to add border to image in python? To create a frame around the image, the function cv2.copyMakeBorder () is used. This function takes the following arguments: src - login image top, bottom, left, right - edge width in number of pixels in corresponding directions borderType - defines what type of border to add. There may be the following types cv2.BORDER_CONSTANT cv2.BORDER_REFLECT - cv2.BORDER_REFLECT_101 cv2.BORDER_REPLICATE cv2.BORDER_WRAP value - Color of border if border type is cv2.BORDER_CONSTANT import cv2 import numpy as np from matplotlib import pyplot as plt BLUE = [ 255 , 0 , 0 ] img1 = cv2.imread( 'flower.jpg' ) replicate = cv2.copyMakeBorder(img1 , 10 , 10 , 10 , 10 , cv2.BORDER_REPLICATE) reflect = cv2.copyMakeBorder(img1 , 10 , 10 , 10 , 10 , cv2.BORDER_REFLECT) reflect101 = cv2.copyMakeBorder(img1 , 10 , 10 , 10 , 10 , cv2.BORDER_REFLECT_101) wrap = cv2.copyMakeBorder(img1 , 10 , 10 , 10 , 10 , cv2.BORDER_WRAP) constant= cv2.copyMakeBorder(img1 ...

OpenCV Read Video and Resize in Python

OpenCV Read Video and Resize import cv2 width = 360 height = 240 cap = cv2.VideoCapture( "readvideo.mp4" ) while True : success , img = cap.read() img = cv2.resize(img , (width , height)) cv2.imshow( "frame" , img) if cv2.waitKey( 1 ) and 0xFF == ord ( 'q' ): break

Image Processing Blog

Search This Blog