Python | Create video using multiple images using OpenCV

As we know OpenCV is a widely used library for image processing. It provides a wide sense of image processing. Let’s see how to create video using multiple images using OpenCV.

Install the following libraries:

PIL
cv2

Also, check the path before running the code otherwise you will be full with errors.

How it works ?
Using PIL library we are opening images and resizing them to their mean_height and mean_width because the video which will be created using cv2 library required the input images of same height and width.
Resized images are included in an array and frame of video is set with the mean_height and mean_width. Then by looping, we are appending each image to that frame.

Below is the implementation :

# importing libraries 
import os 
import cv2  
from PIL import Image  
  
# Checking the current directory path 
print(os.getcwd())  
  
# Folder which contains all the images 
# from which video is to be generated 
os.chdir("C:\\Python\\Geekfolder2")   
path = "C:\\Python\\Geekfolder2"
  
mean_height = 0
mean_width = 0
  
num_of_images = len(os.listdir('.')) 
# print(num_of_images) 
  
for file in os.listdir('.'): 
    im = Image.open(os.path.join(path, file)) 
    width, height = im.size 
    mean_width += width 
    mean_height += height 
    # im.show()   # uncomment this for displaying the image 
  
# Finding the mean height and width of all images. 
# This is required because the video frame needs 
# to be set with same width and height. Otherwise 
# images not equal to that width height will not get  
# embedded into the video 
mean_width = int(mean_width / num_of_images) 
mean_height = int(mean_height / num_of_images) 
  
# print(mean_height) 
# print(mean_width) 
  
# Resizing of the images to give 
# them same width and height  
for file in os.listdir('.'): 
    if file.endswith(".jpg") or file.endswith(".jpeg") or file.endswith("png"): 
        # opening image using PIL Image 
        im = Image.open(os.path.join(path, file))  
   
        # im.size includes the height and width of image 
        width, height = im.size    
        print(width, height) 
  
        # resizing  
        imResize = im.resize((mean_width, mean_height), Image.ANTIALIAS)  
        imResize.save( file, 'JPEG', quality = 95) # setting quality 
        # printing each resized image name 
        print(im.filename.split('\\')[-1], " is resized")  
  
  
# Video Generating function 
def generate_video(): 
    image_folder = '.' # make sure to use your folder 
    video_name = 'mygeneratedvideo.avi'
    os.chdir("C:\\Python\\Geekfolder2") 
      
    images = [img for img in os.listdir(image_folder) 
              if img.endswith(".jpg") or
                 img.endswith(".jpeg") or
                 img.endswith("png")] 
     
    # Array images should only consider 
    # the image files ignoring others if any 
    print(images)  
  
    frame = cv2.imread(os.path.join(image_folder, images[0])) 
  
    # setting the frame width, height width 
    # the width, height of first image 
    height, width, layers = frame.shape   
  
    video = cv2.VideoWriter(video_name, 0, 1, (width, height))  
  
    # Appending the images to the video one by one 
    for image in images:  
        video.write(cv2.imread(os.path.join(image_folder, image)))  
      
    # Deallocating memories taken for window creation 
    cv2.destroyAllWindows()  
    video.release()  # releasing the video generated 
  
  
# Calling the generate_video function 
generate_video() 

Output:

Get the link to the input images used and output video from here.

Better alternatives:
If we want more effects, sound with the video then it will be good to use the ffmpeg python library which offers this kind of functionalities.

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes

Oct	NOV	Dec
	29
2019	2020	2021

Recommended Posts: