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Extract images from video in Python
  • Last Updated : 29 Aug, 2018

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:

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# 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()

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Output:
image

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

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