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:
# Importing all necessary librariesimport cv2import os # Read the video from specified pathcam = 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 errorexcept OSError: print ('Error: Creating directory of data') # framecurrentframe = 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 donecam.release()cv2.destroyAllWindows() |
Output:
All the extracted images will be saved in a folder named “data” on the system.
