imreadmulti() in Python OpenCV

 

In this tutorial, we will learn more about how and what will be used in imreadmulti() with the help of some simple steps implemented in the Python OpenCV in detail.

 

How can we use this in Python OpenCV

It will be going to helps you with images and videos using Python. Here we are having n number of images that is stored in one file, and when we want to read all those images at once. In this situation we will going to use the command ‘imreadmulti()’ , this will help us to combine all the images in a file.

 

What is ‘imreadmulti()’?

 

It is a function in OpenCV that lets us to read multiple images from a single file. When we want to open the file, this will helps us to give more images similar to the what we are searching.

 

How to use ‘imreadmulti()’?

 

We are having some steps to OpenCV installation. They are:

• Install OpenCV
• Import OpenCV
• Use ‘imreadmulti()’ to read images

 

Install OpenCV:

Firstly, make sure you have OpenCV installed. If you don’t have installed, you can install it using this command:

pip install opencv-python

 

Import OpenCV:

Start by importing the OpenCV library in your Python Script.

import cv2

 

Read Images Using ‘imreadmulti()’:

Now , by using this ‘imreadmulti()’ to read images. Imagine you have a file called “multi_page.tiff” that contains several images. Here is the code how you can read all those images:

file_path = 'multi_page.tiff'
images=[]
success, images = cv2.imreadmulti(file_path, flags=cv2.IMREAD_ANYCOLOR)
if success:
     print("Images loaded successfully!")
     print(f"Number of images read : {len(images)}")
else:
    print("Failed to load images.")

 

Understanding the Code

 

• file_path: This is the location of our image file. Here we will replace ‘multi_page.tiff’ with the path to our own file.
• images: This is a list where all the images will be stored.
• cv2.imreadmulti(): This is a function where it tries to read all the images from the file.
• flags: It read the images in color.
• success: This will be “TRUE” if the images were read successfully, and “FALSE” if there was an error.
• len(images): This gives the number of images that were read from the file.

 

https://www.geeksforgeeks.org/reading-image-opencv-using-python/