Section 1.1: Preparing to Extract Frames

To extract images from your video, you'll utilize the ffmpeg-python module. Below is a sample code snippet that demonstrates how to achieve this:

import ffmpeg

YOUR_FILE = 'sample-mov-file.mov'

probe = ffmpeg.probe(YOUR_FILE)

duration = float(probe['streams'][0]['duration']) // 2

width = probe['streams'][0]['width']

# Define the number of frames to extract.

parts = 7

intervals = int(duration // parts)

interval_list = [(i * intervals, (i + 1) * intervals) for i in range(parts)]

i = 0

for item in interval_list:

(

ffmpeg

.input(YOUR_FILE, ss=item[1])

.filter('scale', width, -1)

.output('Image' + str(i) + '.jpg', vframes=1)

.run()

)

i += 1

Make sure the video file you want to extract images from is located in the same directory as your script. Replace 'sample-mov-file.mov' with the actual filename of your video.

We begin by using ffmpeg.probe to gather metadata about the video, particularly its duration, which helps determine the spacing between the extracted frames.

Next, set parts to the number of frames you wish to extract. The list comprehension generates a list of intervals in seconds. The for loop targets the end of each interval to capture the corresponding frame. Each image is saved with a filename format of ImageZ, where Z represents the image count starting from 0 up to the total number of images requested.

You can later combine these images into a video using a different code sample, which is designed for assembling videos from a series of frames.

Now, let’s see some practical applications through videos.

Learn how to extract frames or images from videos using FFmpeg in this detailed tutorial.

Section 1.2: Video Frame Extraction in Action

For those looking to master the art of frame extraction, the following tutorial dives deeper into the process.

This tutorial walks you through the steps of extracting video frames and saving them effectively with FFmpeg.