Data Science with Python : Cheatsheet on Open CV Library

[prathimacode-hub]

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Description

Welcome to the 'DSWP' Team, good to see you here.

With this issue, readers will get a detailed Cheatsheet on OpenCV library.

To get assigned to this issue, add your serial numbers mentioned in the spreadsheet of "Data Science with Python", the approach one would follow and the choice you prefer (Documentation, Audio, Video). You can go with all three or any number of options you're interested to work on.

If you had referred any resources, add them up in "DS Resources". Similarly, if you had used datasets, include them in "DS Datasets".

Domain: Computer Vision

Mentors Assigned : Ankit Kumar | Yash Goel

Points to Note :

The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.

"Issue Title" and "PR Title" should be the same. Include issue number along with it.

Changes should be made inside the Datascience_With_Python/ directory & Datascience_With_Python branch.

Follow Contributing Guidelines & Code of Conduct before start Contributing.

This issue is only for 'GWOC' contributors of 'DSWP' domain.

All the best. Enjoy your journey ahead. 😎

Domain

Data Science with Python

Type of Contribution

Audio, Video, Documentation

Code of Conduct

• [X] I follow Contributing Guidelines & Code of conduct of this project.

[github-actions[bot]]

Hello @prathimacode-hub,
Thank you for opening an issue. :octocat:
Note - Self-assigns by the original author will be prioritised by mentors manually
To get assigned to this particular issue please use /assign
Check this guide before contributing.

[singhmansi25]

@prathimacode-hub Please assign me this issue

[prathimacode-hub]

Issue assigned to @singhmansi25 for documentation. Add your details : Serial number, type of contribution and your approach.

[singhmansi25]

Please assign me the issue serial number - 518 type of contribution - documentation approach - I will be creating a documentation which contains cheatsheet for OpenCV library of Python, it will include a .ipynb file for visualization and images folder for better understanding

[ashish-reddy-20-08]

@prathimacode-hub , Mam I am M. Ashish Reddy. I would like to do video on this issue. Batch number: 5 serial number:174. Approach: A detailed explanation with examples and real life uses

[prathimacode-hub]

Issue assigned to @ashish-reddy-20-08 for video contribution