Image Resizing using OpenCV in Python

OpenCV (Open-Source Computer Vision) is an open-source and free-to-use library of computer vision and machine learning techniques. It uses in various processes, such as video stabilization, image processing, and object detection. It is written in C++ but offers interfaces for Python, Java, and C#, as well as other computer languages. With Windows, Linux, and macOS support, OpenCV is widely used in academic and industrial projects. 

A common task in digital image processing is image scaling. Applications for resizing photographs include the following: adjusting the image size to fit a specific layout for a website or print publication; matching the dimensions of different images; reducing file size; improving resolution; and more. 

The cv2.resize() function of OpenCV can be used to resize an image. This function accepts these arguments: 

• ‘src’: The source of the original picture you want to resize. 
• ‘dim’: The size of the output image or dimension. Tuple should be used here in the form of (width, height), where width and height are the desired dimensions of the output image. 

Here is an example of how you might use this function to resize an image using OpenCV with a maximum width and maximum height: 

Fig 1: Preview of the output that you will get on running this code from your IDE

Code

In this solution, we use the Resize function of the Opencv library

1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
2. Modify the name, location of the image to be resized in the code.
3. Run the file to resize the image.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for "resize image using opencv" in kandi. You can try any such use case!

Dependent Libraries

If you do not have OpenCV that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV.

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Python3.9.
2. The solution is tested on OpenCV-Python 4.5.4 version.

Using this solution, we are able to make blurred images using the OpenCV library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us an image in Python.

Support

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