Extract images from video in Python

OpenCV comes with many powerful video editing functions. In current scenario, techniques such as image scanning, face recognition can be accomplished using OpenCV.

Image Analysis is a very common field in the area of Computer Vision. It is the extraction of meaningful information from videos or images. OpenCv library can be used to perform multiple operations on videos.

Modules Needed:



import cv2
import os

Function Used :

VideoCapture(File_path) : Read the video(.mp4 format)

read() : Read data depending upon the type of object that calls

imwrite(filename, img[, params]) : Saves an image to a specified file.

Below is the implementation:

filter_none

edit
close

play_arrow

link
brightness_4
code

# Importing all necessary libraries
import cv2
import os
  
# Read the video from specified path
cam = cv2.VideoCapture("C:\\Users\\Admin\\PycharmProjects\\project_1\\openCV.mp4")
  
try:
      
    # creating a folder named data
    if not os.path.exists('data'):
        os.makedirs('data')
  
# if not created then raise error
except OSError:
    print ('Error: Creating directory of data')
  
# frame
currentframe = 0
  
while(True):
      
    # reading from frame
    ret,frame = cam.read()
  
    if ret:
        # if video is still left continue creating images
        name = './data/frame' + str(currentframe) + '.jpg'
        print ('Creating...' + name)
  
        # writing the extracted images
        cv2.imwrite(name, frame)
  
        # increasing counter so that it will
        # show how many frames are created
        currentframe += 1
    else:
        break
  
# Release all space and windows once done
cam.release()
cv2.destroyAllWindows()

chevron_right


Output:
image

All the extracted images will be saved in a folder named “data” on the system.
img



My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.




Article Tags :

3


Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.