Detección de rostros con MEDIAPIPE 🧑 | Python - MediaPipe - OpenCV

En este videotutorial te mostraré como puedes usar la detección de rostros 🧑 con MediaPipe en Python. Veremos como acceder a cada uno de los 6 puntos de referencia o landmarks del rostro, a más de su cuadro delimitador. ¡Mediapipe Face Detection es super rápido y preciso! ¿Te animas a probarlo?

CONTENIDO:

• 0:00​ - Introducción
• 0:31​ - Introducción a MediaPipe Face Detection
• 2:01​ - MediaPipe Face Detection en imágenes
• 3:23​ - Opciones de configuración
• 5:18​ - Salidas de MediaPipe Face Detection
• 5:49​ - Visualizando la detección
• 8:32​ - Accediendo a los puntos de salida
• 17:38​ - Prueba con una imagen sin rostros
• 18:00​ - Detección facial en video en directo

LINKS - REFERENCIAS:

• Mediapipe Face Detection: https://google.github.io/mediapipe/solutions/face_detection
• Artículo BlazeFace: https://arxiv.org/pdf/1907.05047.pdf

#python #mediapipe #opencv

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top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

…

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

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

Detección de rostros con MEDIAPIPE 🧑 | Python - MediaPipe - OpenCV

En este videotutorial te mostraré como puedes usar la detección de rostros 🧑 con MediaPipe en Python. Veremos como acceder a cada uno de los 6 puntos de referencia o landmarks del rostro, a más de su cuadro delimitador. ¡Mediapipe Face Detection es super rápido y preciso! ¿Te animas a probarlo?

CONTENIDO:

• 0:00​ - Introducción
• 0:31​ - Introducción a MediaPipe Face Detection
• 2:01​ - MediaPipe Face Detection en imágenes
• 3:23​ - Opciones de configuración
• 5:18​ - Salidas de MediaPipe Face Detection
• 5:49​ - Visualizando la detección
• 8:32​ - Accediendo a los puntos de salida
• 17:38​ - Prueba con una imagen sin rostros
• 18:00​ - Detección facial en video en directo

LINKS - REFERENCIAS:

• Mediapipe Face Detection: https://google.github.io/mediapipe/solutions/face_detection
• Artículo BlazeFace: https://arxiv.org/pdf/1907.05047.pdf

#python #mediapipe #opencv

Create a Virtual Pen and Eraser with Python OpenCV - Genial Code

Learn Free how to create a virtual pen and eraser with python and OpenCV with source code and complete guide. This entire application is built fundamentally on contour detection. It can be thought of as something like closed color curves on compromises that have the same color or intensity, it’s like a blob. In this project we use color masking to get the binary mask of our target color pen, then we use the counter detection to find the location of this pen and the contour to find it.

#python #create virtual pen and eraser with opencv #create virtual pen and eraser with python opencv #programming #opencv #python opencv

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