How to Read Video in Opencv Python

How to Read Video İn Opencv Python

The following code is used to read video in OpenCV python. The process of reading video in OpenCV is very similar to reading images. The video is a series of images. All frames in a video sequence must be looped over and then rendered one frame at a time.

import cv2
capture = cv2.VideoCapture('video.mp4')
while(capture.isOpened()):
  r, f = capture.read()
  gray = cv2.cvtColor(f, cv2.COLOR_BGR2GRAY)
  cv2.imshow('video',gray)
  if cv2.waitKey(1) & 0xFF == ord('q'):
    break

capture.release()
cv2.destroyAllWindows()

Comments

Opencv Image Properties - rows, columns and channels, type of image data, number of pixels

Opencv Image Properties OpenCV allows access to image properties. These properties are rows, columns and channels, type of image data, number of pixels. The img.shape command is used to access the shape of the image. Returns rows, columns and channels. import cv2 img = cv2.imread( 'flower.jpg' ) print (img.shape) Result: (400, 400, 3) The data type of the image is obtained with img.dtype import cv2 img = cv2.imread( 'flower.jpg' ) print (img.dtype) Result: uint8

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 Image Blending: How to blend two images?

Opencv Image Blending This process is very similar to image addition, but in this process images are given different weights. Thus, a transparent mixture is obtained. Images are added according to the following equation: 𝑔(𝑥) = (1 − 𝛼)𝑓0(𝑥) + 𝛼𝑓1(𝑥) By changing the value of a between 0 and 1, transparency can be adjusted. In this study, 2 images were used to put them together. The weight was given 0.3 to the first picture and 0.7 to the second picture. cv2.addWeighted () applies the following equation to the image. 𝑑𝑠𝑡 = 𝛼 · 𝑖𝑚𝑔1 + 𝛽 · 𝑖𝑚𝑔2 + y Open images: image1 = cv2.imread( 'flower.jpg' ) image2 = cv2.imread( 'bird.jpg' ) Blending: rs = cv2.addWeighted(image1 , 0.3 , image2 , 0.7 , 0.0 ); Result: All Code: import cv2 image1 = cv2.imread( 'flower.jpg' ) image2 = cv2.imread( 'bird.jpg' ) image1 = cv2.resize(image1 , ( 300 , 300 )) image2 = cv2.resize(image2 , ( 300 , 300 )) rs = cv2.addWeighted(image1 , 0.3 , image2 , 0.7 , 0.0 ); cv...

Image Processing Blog

Search This Blog