Python VS C++ in OpenCV and Computer Vision - Speed and Performance Test with Code

In this Computer Vision and OpenCV Tutorial in C++, we are going to do a Python vs C++ OpenCV Test. We will run some of the methods and applications that we have implemented during this tutorial and compare the performance in Python with C++. We will evaluate and talk about the results we get and why we get exactly those results in both Python and C++ with OpenCV. We will be going over some of the differences between using python or C++ for your computer vision implementation or application.

GitHub: https://github.com/niconielsen32

Subscribe: https://www.youtube.com/channel/UCpABUkWm8xMt5XmGcFb3EFg

#python #vscode #opencv #c++

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Python VS C++ in OpenCV and Computer Vision - Speed and Performance Test with Code

In this Computer Vision and OpenCV Tutorial in C++, we are going to do a Python vs C++ OpenCV Test. We will run some of the methods and applications that we have implemented during this tutorial and compare the performance in Python with C++. We will evaluate and talk about the results we get and why we get exactly those results in both Python and C++ with OpenCV. We will be going over some of the differences between using python or C++ for your computer vision implementation or application.

GitHub: https://github.com/niconielsen32

Subscribe: https://www.youtube.com/channel/UCpABUkWm8xMt5XmGcFb3EFg

#python #vscode #opencv #c++

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Morse Code Translator Detect Blinks — Python, OpenCV, MediaPipe

Hello everyone,

It has been a while since the last time I posted a tutorial, or something in general. Basically life happened and I decided not to share rather than sharing low quality content. Today, I’ll walk you through a computer vision project that takes your live video input and translates your blinks into Morse Alphabet so you can blink short and long to write messages.

The source code for the project is here, I also used this awesome tutorial as a boiler plate to start with, if you want to learn more about Computer Vision applications you can check the channel owner’s channel from the link I posted. So without further ado let’s dive right into it.

As for the beginning I want to explain MediaPipe library a little bit, “MediaPipe offers open source cross-platform, customizable ML solutions for live and streaming media.”, this definition is from their own website and explains what you can do with that library shortly and cleanly, they offer several other solutions that can run on different platforms and I’ll explain all of them in a different post in the future. The feature that we’ll use today is called “Face Mesh”, this solution provides us a face landmark map with the most important 468 landmarks that can be seen in a human’s face. Using that map we’ll calculate the ratio between some particular points in the face and with that information we’ll detect if the person on the camera blinked or not.

#python #opencv #mediapipe #computer-vision #morse code translator detect blinks — python, opencv, mediapipe #morse code translator detect blinks

A Simple HDR Implementation on OpenCV Python

Learn how to create a high dynamic range (HDR) image using Python and OpenCV

HDR images encompass the information of multiple pictures with different exposures. In a scene which the source of light is uneven, a single shot may overexpose certain areas of the image and details will be lost due to elevated brightness. Conversely, this picture may also present underexposed areas which will also lead to information loss.

To create an HDR image you will need:

1. Take pictures with different exposures. Minimum of 2, generally 3, you can use more than 3 images but it will take a lot of CPU resources.
2. Align the images. Even if you use a tripod you will need to perform this step (we are talking about pixel level alignment). Not properly aligning your image will lead to artifacts and ‘ghosts’ in your HDR image.
3. Merge the aligned images into one.
4. Perform tone mapping on the merged image. In nature the minimum possible brightness is zero but the maximum is not limited to 255, in fact there is no limit to it, it can be infinity. For this reason we need to map the image obtained in the third step to a (0, 255) range. This can be achieved with tone mapping.

#hdr #opencv #computer-vision #python #opencv #opencv python

Python vs C++: Difference Between Python and C++ [2021]

There has been a great deal of discussion surrounding Python and C++ as to which is the better learning tool in the programming paradigm. However, there is no right answer to that. Python is more suitable for web programming while C++ scores where hardware-related programming is concerned. In any case, both languages differ from each other in a number of ways and have varied uses.

In this article, we will look at the features and applications of both programming languages and draw a comparison between the two. So, let’s get started!

#data science #c language #c++ #python #python vs c++