How to stitch videos using MoviePy

Imagine weaving together snippets of your favorite moments from various videos to create a captivating montage. The ability to seamlessly stitch videos together can turn ordinary footage into something extraordinary. In this adventure, we'll explore how to achieve this feat using MoviePy, a Python library that's like a digital thread connecting video fragments into a cohesive masterpiece.

What is MoviePy?

Before we dive into the realm of video stitching, let's get acquainted with our tool, MoviePy. Picture it as a virtual editing studio that empowers you to craft, manipulate, and enhance videos effortlessly. Whether you're a vlogger, filmmaker, or simply a video enthusiast, MoviePy opens doors to endless creative possibilities.

Applications of MoviePy

MoviePy isn't just about stitching videos; it's a gateway to a plethora of video-related wonders:

  • Montages and highlights: Seamlessly stitch together the highlights of your adventures or events, creating engaging montages that tell a story.

  • Educational content: String together educational videos to present complex topics in a digestible sequence.

  • Vlogs and tutorials: Combine clips to craft engaging vlogs or step-by-step tutorials that keep viewers hooked.

Program overview

Let's take a sneak peek at what our program does before we dive into the details:

  • Load the video clips using MoviePy.

  • Stitch the clips together seamlessly.

  • Display the final stitched clip in a window.

Libraries used

The libraries we use in this program are:

  • MoviePy

  • OpenCV

For moviepy:

pip install moviepy

MoviePy is a Python library for video editing, enabling tasks like cutting, concatenating, and applying effects.

For opencv:

pip install opencv-python

OpenCV is a computer vision library used for image and video processing tasks, such as object detection and manipulation.

Code implementation 

import cv2
from moviepy.editor import VideoFileClip, concatenate_videoclips

video_path_1 = "vid_1.mp4"
video_path_2 = "clip.mp4"
video_clip_1 = VideoFileClip(video_path_1)
video_clip_2 = VideoFileClip(video_path_2)

final_clip = concatenate_videoclips([video_clip_1, video_clip_2], method="compose")

for frame in final_clip.iter_frames(fps=final_clip.fps):
    cv2.imshow("Final Clip", frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
cv2.destroyAllWindows()

Code explanation

  • Line 1: We import the OpenCV library, which provides tools for working with images and videos.

  • Line 2: We import the concatenate_videoclips function from MoviePy, which allows us to concatenate multiple video clips.

  • Line 4–5: We provide the paths to the video files we want to stitch, load them using the VideoFileClip class, and create video_clip_1 and video_clip_2.

  • Line 9: We use the concatenate_videoclips function to concatenate the video clips stored in a list.

    • The method parameter is set to compose indicating that we want to compose the clips seamlessly.

  • Line 11–15: Here, we iterate through each frame in the final_clip, display it using OpenCV, and check if the user presses 'q' to exit the loop and close the display window.

Conclusion

Using MoviePy, with just a few lines of code, we can seamlessly blend moments, narratives, and emotions. Whether creating a visual masterpiece or weaving educational content, stitching videos aid you in telling stories that resonate with your audience.

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