image_to_video.py

# Python Video Code:

# importing libraries
import os
# install opencv or cv2 by this command: pip install opencv-python
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("E:\\demo")
# print(os.chdir("C:/Users/Public/Pictures/Sample Pictures"))
# exit()
# path = "C:\\Users\\Public\\Pictures\\SampleVideo"
path = "E:\\demo"

mean_height = 0
mean_width = 0

num_of_images = len(os.listdir('.'))
# print(num_of_images)
# exit()

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

# print(im)
# exit()

# 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 = 'E:\\demo' # make sure to use your folder
	video_name = 'mygeneratedvideo.avi'
	os.chdir("E:\\demovideo")
	
	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()