I am looking for a way to concatenate a directory of images files (e.g., JPEGs) to a movie file (MOV, MP4, AVI) with Python. Ideally, this would also allow me to take multip
I finally got into a working version of the project that got me into this question. Now I want to contribute with the knowledge I got. Here is my solution for getting all pictures in current directory and converting into a video having then centralized in a black background, so this solution works for different size images.
import glob
import cv2
import numpy as np
DESIRED_SIZE = (800, 600)
SLIDE_TIME = 5 # Seconds each image
FPS = 24
fourcc = cv2.VideoWriter.fourcc(*'X264')
writer = cv2.VideoWriter('output.avi', fourcc, FPS, DESIRED_SIZE)
for file_name in glob.iglob('*.jpg'):
img = cv2.imread(file_name)
# Resize image to fit into DESIRED_SIZE
height, width, _ = img.shape
proportion = min(DESIRED_SIZE[0]/width, DESIRED_SIZE[1]/height)
new_size = (int(width*proportion), int(height*proportion))
img = cv2.resize(img, new_size)
# Centralize image in a black frame with DESIRED_SIZE
target_size_img = np.zeros((DESIRED_SIZE[1], DESIRED_SIZE[0], 3), dtype='uint8')
width_offset = (DESIRED_SIZE[0] - new_size[0]) // 2
height_offset = (DESIRED_SIZE[1] - new_size[1]) // 2
target_size_img[height_offset:height_offset+new_size[1],
width_offset:width_offset+new_size[0]] = img
for _ in range(SLIDE_TIME * FPS):
writer.write(target_size_img)
writer.release()