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 Introduction of OpenCV python

OpenCV has just received a massive new feature: its own Python extension. If you’re looking for the right platform to begin using OpenCV with Python, you’re in luck because the entire implementation is based on Python 3, which is, and will continue to be, the most popular version of Python.
The Python extension was introduced as a solution for the failure of OpenCV’s core C library to provide an API for editing shapes. This solves a problem that plagues OpenCV code because it’s often used with C code, which requires a substantial amount of effort to fully understand.
The Python extension, called “opencv3“, is now at its first development milestone. Developers from Canonical (the team behind Ubuntu) are able to start working on it and submit contributions.
I wanted to document what was happening to this new extension and give you the opportunity to suggest your own ideas. To help you do so I’m introducing an open discussion document about this extension. Feel free to share your feedback and join the discussion about this new Python extension

What is OpenCV?

OpenCV is a library for software developers to develop visual computing applications in Python. It is designed with simplicity in mind. It supports all hardware platforms that support C. The software is written in the Python programming language (more information) and is supported on many platforms including GNU/Linux, Windows, macOS, Android, iOS, and more.

What are the advantages of using OpenCV?

OpenCV aims to keep compatibility with the way software is written today. For that reason, it also supports the relatively low-level, but necessary, low-level APIs of modern computers and their GPU (Graphics Processing Unit) technology. By implementing the open-source C libraries and low-level graphics APIs that are available today, OpenCV takes the obstacles to implement effective software in Python out of the way. It also encourages innovation. With such an accessible environment developers don’t need to make huge sacrifices in their code to make their applications work well.

What are the disadvantages of using OpenCV?

Some people don’t like to see what’s behind the curtain. OpenCV developers also work on improving the open-source software which means adding new features. That often brings new compromises that must be accepted. Also, with such simple API developers often miss some of the lower-level low-level graphics APIs that are available in many GPU devices today. It’s a trade-off.
Despite its advantages and disadvantages, OpenCV has been steadily gaining more and more attention from software developers around the world who want to use a simple and powerful visual computing platform to develop simple applications.

Introducing OpenCV python extension:

After announcing the Python extension, OpenCV's developers started work on its documentation, documentation, documentation. They were able to compile the Python extension into Python’s documentation but also started working on a Python extension. They have been working on it for a few weeks and are introducing it now.
The OpenCV python extension is similar to the OpenCV core python library. It is an extension for the Python programming language that is meant to work with the Python core library and is meant to help developers make their visual computing applications more Python-friendly.
The Python extension introduces some Python functionality that is meant to work with the Python core library, it introduces a python extension called opencv3.
The python extension introduces some Python functionality that is meant to work with the Python core library. It’s a drop-in replacement for opencv3 that will help developers use existing python code. It also adds some features to the Python core library. The python extension is also implemented in Python.


If you want to be involved and help improve OpenCV you should look at contributing to the python extension. It is still under development. It is also still under heavy development. Some things are working well already, but others need improvement. At the moment, the documentation and discussions around it are somewhat incomplete. I think that it is only a matter of time before OpenCV has a complete Python extension and it starts to be used in many different scenarios.

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