#GitHubCopilot 🤖 – ¿Es el fin de los programadores? (no tanto 🐱‍🐉) – Video Español con Polo MC Tech

Buenas ! Otro sábado más compartiendo experiencias y opiniones sobre CoPilot. Esta vez con los amigos del Polo Tecnológico de Mina Clavero. https://www.youtube.com/watch?v=GJYJklfaKyY

#GitHubCopilot: 🤖 qué es, cómo funciona y el impacto futuro de la IA en el trabajo de programador. Grabación 📺

Buenas ! ¿Qué es GitHub Copilot?¿En qué me afecta como programador? En este evento, José Manuel Alarcón y el MVP experto en IA Bruno Capuano hablaron sin sensacionalismos (¡y sin guión!) sobre qué es GitHub Copilot, vimos cómo funciona Copilot con ejemplos en directo, qué son GPT-3 y Codex, y cómo afectará la IA al … Continue reading #GitHubCopilot: 🤖 qué es, cómo funciona y el impacto futuro de la IA en el trabajo de programador. Grabación 📺

#LemonCode – Usando layouts de D3js para representar datos 📈📉📊

Creando un gráfico de barras La forma más tradicional y, muchas veces, efectiva de mostrar datos es usar una gráfica de barras. Las personas somos muy buenas comparando longitudes, sobre todo si estan una encima de otra. Por otro lado, los cálculos necesarios para determinar la longitud de las barras son relativamente sencillos, por lo … Continue reading #LemonCode – Usando layouts de D3js para representar datos 📈📉📊

#LemonCode TV ! 🍋📺🍋

Introducción Llevábamos varios meses trabajando en un nuevo proyecto, y hace unas semanas por fin pudimos publicarlo: Lemoncode Tv Lemoncode Tv página principal ¿Qué tiene esto de diferencia con lemoncode.net ? Cuando arrancamos Lemoncode nos planteamos poder impartir formaciones a largo (Máster Front End, Bootcamp Devops, Bootcamp Backend, Bootcamp JavaScript) y a medida para empresas. … Continue reading #LemonCode TV ! 🍋📺🍋

#Coding4Fun – How to control your #drone with 20 lines of code! (21/N)

Hi ! In my post series I already wrote about how to detect faces. We can do this with a camera and OpenCV. However, a drone can also be moved on command, so let's write some lines to detect a face, and calculate the orientation and distance of the detected face from the center camera … Continue reading #Coding4Fun – How to control your #drone with 20 lines of code! (21/N)

#Coding4Fun – How to control your #drone with 20 lines of code! (20/N)

Hi ! We already have the drone camera feed ready to process, so let's do some Image Segmentation today. As usual, let's start with the formal definition of Image Segmentation In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known … Continue reading #Coding4Fun – How to control your #drone with 20 lines of code! (20/N)

#Coding4Fun – How to control your #drone with 20 lines of code! (19/N)

Hi ! Today I face another challenge: I needed to overlay an image on top of another. Something like this. Lucky for me, and as usual, OpenCV allow us to do this with a few lines of code. Let's take a look. Line 8. Define a custom size for all the images: background image and … Continue reading #Coding4Fun – How to control your #drone with 20 lines of code! (19/N)

#Coding4Fun – How to control your #drone with 20 lines of code! (18/N)

Hi ! Today I'll step back a couple of posts, and add 2 simple lines to allow me to save a video file from the Drone camera. This is a request, and it's makes a lot of sense to have recorded a file with the drone camera. The video will later contains detected objects and … Continue reading #Coding4Fun – How to control your #drone with 20 lines of code! (18/N)

#Coding4Fun – How to control your #drone with 20 lines of code! (17/N)

Hi ! Once we have the a custom vision trained model instance, we can use it to recognize objects from the drone camera feed. Read my previous posts for descriptions on these. Another interesting scenario, is to save local files for every detected object. In the following code, I'll save 2 different files for every … Continue reading #Coding4Fun – How to control your #drone with 20 lines of code! (17/N)

#Coding4Fun – How to control your #drone with 20 lines of code! (16/N)

Hi ! In my previous post, I shared an example where I analyzed the camera feed using a Image Recognition model created using Custom Vision. Today I'll expand the sample, and show in real time the detected MVPs logos with a frame in the drone camera feed. Let's take a look at the demo working … Continue reading #Coding4Fun – How to control your #drone with 20 lines of code! (16/N)