Image processing tasks using CV2

Jyoti Pawar
3 min readJun 9, 2021

Hello friends!!

In today’s world open cv library of python has gained much more importance for image processing, video, processing,etc. So today I’m writing this blog regarding some of the use cases that can be fulfilled using this OpenCV library of python😌😌

Task description:

This is the team task:

* Task 04* 👨🏻‍💻

⚜️ *Team Task*

*Task Description* 📄

🔅 *Task 4.1*
📌 Create image by yourself Using Python Code

🔅 *Task 4.2*
📌 Take 2 image crop some part of both image and swap it.

🔅 *Task 4.3*
📌 Take 2 image and combine it to form single image. For example collage.

What’s exactly OpenCV:

Computer vision is a process by which we can understand the images and videos how they are stored and how we can manipulate and retrieve data from them. Computer Vision is the base or mostly used for Artificial Intelligence. Computer-Vision is playing a major role in self-driving cars, robotics as well as in photo correction apps.

OpenCV

OpenCV is the huge open-source library for the computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today’s systems. By using it, one can process images and videos to identify objects, faces, or even handwriting of a human. When it integrated with various libraries, such as Numpuy, python is capable of processing the OpenCV array structure for analysis. To Identify image pattern and its various features we use vector space and perform mathematical operations on these features.

Task 4.1:

For this task we have created a image using OpenCV .

The code for the same is as follows:

The image is seen as:

Task 4.2:

Crop two images and swap the cropped part of both images

Task 4.3:

Create collage from different images

For detailed explanation of tasks 4.2 & 4.3 do follow the below link. Task done with my teammate 👇
https://www.linkedin.com/posts/ronak-goyal-b65746195_intern-datascience-designthinking-activity-6805932995267092482-e3lN

Task completed!!!😌😌🎯

I’m grateful to all my teammates for coordinating in the tasks😊😊.

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Jyoti Pawar
Jyoti Pawar

Written by Jyoti Pawar

Devops || AWS || ML || Deep learning || Python || Flask || Ansible RH294 || OpenShift DO180

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