Top 10 Python OpenCV Cheat Sheets

Hey Finxters! It is time for another Python Cheat Sheet! As a brief introduction, OpenCV is an open-source computer vision and machine learning software library of programming functions mainly aimed at real-time computer vision. In this article, I am bringing you the best 10 Python cheat sheets on OpenCV. Let me introduce Python OpenCV to you!

Cheat Sheet 1: Cheatography

This cheat sheet was written by thatguyandy27 on Cheatography. It is separated into different modules, gives clear example code and quick explanation. This pdf is worth hanging on your wall or placed in your developer binder.

Pros: Rated ‘E’ for everyone. This is a great place to start.

Cons: It says it is still in draft form. There could be future updates.

Cheat Sheet 2: GitHub

This cheat sheet is found on Github! A great place for a developer to find really useful information and build a portfolio! This cheat sheet is a condensed version of everything you need to know for OpenCV in Python! It is packed with tons of great information and one you should most definitely have on the wall!

Pros: Rated ‘E’ for everyone.

Cons: It is a super dense cheat sheet.

Cheat Sheet 3: AIM

This cheat sheet specifically focuses on blurring an image using three types: Gaussian, Bilateral and Median blurs. This cheat focuses on the code with a photo at the bottom to show the output of each different method.

Pros: Rated ‘E’ for everyone.

Cons: None that I can see.

Cheat Sheet 4: HeartBeat Fritz

This cheat sheet explains OpenCV from installation to face detection and distorting. All explained in one sheet. You will learn valuable skills along the way for OpenCV in Python. Great for the beginner and refresher.

Pros: Rated ‘E’ for everyone.

Cons: None that I can see.

Cheat Sheet 5: Alver Valley Software Limited

This cheat sheet has code snippets with quick explanations on what each snippet does in the program. It is a very light read and is solely focused on the code used in OpenCv

Pros: Rated ‘E’ for everyone.

Cons: Written for C++, so you will need to import C into you python program.

Cheat Sheet 6: Read the Docs

Here you will learn the core operations of GUI features, image processing and so much from this cheat. It will show you code and give you an explanation on opencv in python

Pros: Rated ‘E’ for everyone.

Cons: None that I can see.

Cheat Sheet 7: Analytics Vidhya

This cheat sheet dives right into installing the correct libraries you are going to need for you program, including a virtual environment. Code snippets, and examples are clear and well written for you to learn from when working with OpenCV

Pros: Rated ‘E’ for everyone.

Cons: None that I can see.

Cheat Sheet 8: OverAPI

This cheat sheet will be one you can hang on the walls. It will take you from the very beginning until the last module. It has good explanation to the code snippets.

Pros: Rated ‘E’ for everyone

Cons: It is written C++

Cheat Sheet 9: Coding for Entrepreneurs

Here on this cheat sheet, you can learn to Learn to create a REST API microservice for extracting faces from images using OpenCV, OpenCV-python, Flask, Docker, and Heroku.

Pros: Rated ‘E’ for everyone

Cons: None that I can see.

Cheat Sheet 10: jeh-tech

This cheat sheet was written by a fellow developer online! He has placed in notes and code using Python in OpenCV. He has clear explanations and graphics with his code.

Pros: Rated ‘E’ for everyone

Cons: None that I can see.

So as you can see OpenCV has a ton of material you can use to create your own machine learning models that can use OpenCV and know the difference between an apple and an orange! And hey guess what? You have learned a new skill! That’s even cooler right? As a thank you for coming with me on this fantastic journey I have included BONUS OpenCV Material!! Nothing is better than having a bonus!! It’s like an extra present under the tree! This website will help you dive even deeper into what OpenCV is and what you can do with it! You’ll be able to master the open source library in Python in no time using this website! Maybe even a niche for your Python Freelancing? (Did I just give you a clue? ?) Enjoy and again thanks for joining me.

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