Videos are composed of images shown in quick succession. In this video, learn how to read and display videos in OpenCV.
- So let's get started with viewing videos in OpenCv. … So remember to activate your virtual environment, … so atom video.py. … So we need to import the cv2 and numpy modules … as usual, so import numpy as np, … import cv2 and we then create a video capture object … and read in the input file to check to see … that it can open the file. … So let's say cap equals cv2.videocapture … and then provide the path to the file. … So that's in images/shore.mov. … Now, if you wanted to use your webcam as input instead, … then you'd replace the path with a zero. … So let's make sure that we can actually open that file, … so if cap.isOpened equals false, … you then want to print a message, … so print, 'Cannot open file or video stream'. … So let's save this file, and let's check out … this bit of code. … So python, and since we haven't had any prompt here, … we know that it can open that file. … Next, we need to look through and read and display … video frames until either the video is completed …
- Deep learning for OpenCV
- Viewing images and video in OpenCV
- Working with blobs in the dnn module
- Image classification
- Video classification