I wanted to connect a lot of videos such as reinforcement learning results in one shot, so I made it.

situation

A program that creates a single video by concatenating all the videos in a directory containing multiple videos.

Source

import cv2
import glob

def comb_movie(movie_files,out_path):
    
    #The format is mp4
    fourcc = cv2.VideoWriter_fourcc('m','p','4','v')

    #Acquisition of video information
    movie = cv2.VideoCapture(movie_files[0])
    fps    = movie.get(cv2.CAP_PROP_FPS)
    height = movie.get(cv2.CAP_PROP_FRAME_HEIGHT)
    width  = movie.get(cv2.CAP_PROP_FRAME_WIDTH)


    #Open the output file
    out = cv2.VideoWriter(out_path, int(fourcc), fps, (int(width), int(height)))
        
        
    for movies in (movie_files):
        print(movies)
        #Read video file, argument is video file path
        movie = cv2.VideoCapture(movies)
        
        if movie.isOpened() == True: #Check if the video file can be read normally
            ret,frame = movie.read() # read():Read the captured image data for one frame
        else:
            ret = False
        
        while ret:
            #Write the read frame
            out.write(frame)
            #Read next frame
            ret,frame = movie.read()

#Retrieve a list of videos in a directory
files = sorted(glob.glob("./movie_dir/*.mp4"))

#Output file name
out_path = "movie_out1.mp4"

comb_movie(files,out_path)

Connect multiple videos in one shot using OpenCV!

situation

Source