Python 3 OpenCV Script to Create Video From Images With Custom FPS & Duration in Command Line

Welcome folks today in this blog post we will be creating video from multiple images with custom fps and duration in command line. All the full source code of the application is shown below.

Get Started

In order to get started you need to install the below libraries using the below command

pip install opencv-python

pip install numpy

After installing this libraries you need to make an app.py file and copy paste the following code

app.py

import cv2
import numpy as np
import os

# Set the duration of each image in the video (in seconds)
image_duration = 5

# Set the frame rate of the video (frames per second)
fps = 30

# Set the directory containing the images
image_dir = 'input'

import cv2

import numpy as np

import os

# Set the duration of each image in the video (in seconds)

image_duration = 5

# Set the frame rate of the video (frames per second)

fps = 30

# Set the directory containing the images

image_dir = 'input'

As you can see in the above code we are importing the opencv and numpy library. And then we are setting the variables for the duration of the image in seconds. Here we are given 5 so that each image will stay inside the video for 5 seconds. And then we are setting the fps of the video to be 30. And then we are setting the image directory path. Here you need to store all the png or jpg images.

Now we will be getting all the images which are stored inside the directory called input for this we will be using the for loop to get all the images paths and store it inside an array and then we are calling the sort() method to sort the images.

image_paths = [os.path.join(image_dir, f) for f in os.listdir(image_dir)]

# Sort the images by file name
image_paths.sort()

image_paths = [os.path.join(image_dir, f) for f in os.listdir(image_dir)]

# Sort the images by file name

image_paths.sort()

And now we will be setting the width and height of the generated video file and then we are setting the codec of the video.

# Set the size of the output video
width = 1280
height = 720

# Set the fourcc code for the video codec
fourcc = cv2.VideoWriter_fourcc(*'MJPG')

# Set the size of the output video

width = 1280

height = 720

# Set the fourcc code for the video codec

fourcc = cv2.VideoWriter_fourcc(*'MJPG')

And now we will be generating the video using the filename and then we will be calculating the frames inside the video as shown below

# Create a VideoWriter object for the output video
out = cv2.VideoWriter('video.avi', fourcc, fps, (width, height))

# Calculate the number of frames to generate for each image
num_frames = fps * image_duration

# Create a VideoWriter object for the output video

out = cv2.VideoWriter('video.avi', fourcc, fps, (width, height))

# Calculate the number of frames to generate for each image

num_frames = fps * image_duration

Now we will be using the for loop to iterate over all the images and convert each image to frame inside the video for 5 seconds as shown below

# Iterate through the images, converting each to a series of frames in the video
for image_path in image_paths:
    # Load the image
    image = cv2.imread(image_path)

    # Resize the image to the desired size
    image = cv2.resize(image, (width, height))

    # Write the image to the video for the specified number of frames
    for i in range(num_frames):
        out.write(image)

# Release the VideoWriter object
out.release()

# Iterate through the images, converting each to a series of frames in the video

for image_path in image_paths:

# Load the image

image = cv2.imread(image_path)

# Resize the image to the desired size

image = cv2.resize(image, (width, height))

# Write the image to the video for the specified number of frames

for i in range(num_frames):

out.write(image)

# Release the VideoWriter object

out.release()

And now wrapping it up this is the full source code of the app.py file