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#AI – MineRL, play #Minecraft to benefit science!
Hi ! I’ve write a couple of time about project Malmo and Minecraft, so if you like Minecraft and Artificial Intelligence, MineRL will make your day. Let’s start with some basis: MineRL is a large-scale dataset on Minecraft of seven different tasks, which highlight a variety of research challenges including open-world multi-agent interactions, long-term planning,… — read more
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[Xamarin.Forms] Mejorar el rendimiento en el tiempo de arranque
Originally posted on Javier Suárez | Blog: Introducción Además de cuidar detalles como la funcionalidad o la apariencia visual de nuestra aplicación, nuestra aplicación debe funcionar correctamente bajo todas las condiciones en todos los dispositivos para la que sea lanzada. Un punto importante a revisar siempre suele ser, el tiempo de arranque de la aplicación.… — read more
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#Event – Toronto #InsiderDevTour on June 19
Hi ! The Insider Dev Tour is for developers interested in building Microsoft 365 experiences (Windows, Graph, Office, Teams) today, using the latest dev technologies, as well as for those who want a peek into the future. If you can read code, this is for you, regardless if you are a beginner, an expert, a… — read more
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[Xamarin.Forms] Mejorar el rendimiento al trabajar con imágenes
Originally posted on Javier Suárez | Blog: Introducción El uso de imágenes en aplicaciones móviles es habitual. Es un elemento clave a la hora de conseguir buenos resultados visuales. Sin embargo, también suelen ser uno de los puntos clave que impactan en el rendimiento de la aplicación. Problemas como: Alto consumo de memoria. Bloqueo de… — read more
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#Twitter – #Accessibility in images in Twitter, 5 extra seconds will help a lot of people! @kastwey
Hi! So, the trip to Italy is done, and I have the best memories ever. I’ve spend some time with the Global Avanade Innovation Network, and it was amazing to see again my friends from all around the globe. I was supposed to continue my series of posts on Face Recognition and Python. Remember, I… — read more
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#VSCode – Let’s do some #FaceRecognition with 20 lines in #Python (5/N)
Hi! And after yesterday’s post I realize that the code is working, but there is room for performance improvement. So, I went back to my 1st sample, the one for face detection and I added some code to get some times for Frames per Second (FPS). In my initial code, the app was working processing… — read more
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#VSCode – Let’s do some #FaceRecognition with 20 lines in #Python (4/N)
Hi! Quick post today. I’ll pickup yesterday demo, showing the facial features and adding Face Recognition on top of that. In other words, we’ll move from this To this With a couple of extra lines for face recognition There is some room for performance improvement, so I’ll focus on this in next posts. The complete… — read more
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#VSCode – Let’s do some #FaceRecognition with 20 lines in #Python (3/N)
Hi! In my previous posts I explained how to detect faces and perform face recognition in python. Today I’ll explore another feature in the face_recognition package: Find Facial Features. The live camera output will be something like this: Note: Special thanks to my daughter who is always OK to help me with this. The main… — read more
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#RPi – Some #RaspberryPi screen options and how to quickly find your device IP with #RaspberryPi Finder from @Adafruit
Hi ! Today’s post is about my experience doing presentations and demos with a Raspberry Pi. Doing demos with a Raspberry Pi is amazing. I really enjoy share some of the amazing stuff we can do with the device, and usually there is one or two people in the audience who can share other even… — read more
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From GitHub to Azure App Service through Jenkins pipelines
Originally posted on Juanlu, ElGuerre: Desde mi punto de vista Azure DevOps es quizas una de las mejores herramientas como orquestadora de Pipelines para DevOps, al menos con la que me siento más cómodo trabajando y para mi, la mas fácil. Si bien, hoy vamos a ver como trabajar con Jenkins para conseguir el mismo… — read more
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#MacOS – Not so good with Screen Resolutions and “even better” at projection mode
Hi ! The first time I was doing a demo and connecting my MacBook Pro to a projector, I found out that the screen settings and configuration in a MacOS are completely different to the usual Windows experience. And, IMHO, not in a good way. In Windows, when you are working with 2 or more… — read more
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#VSCode – Let’s do some #FaceRecognition with 20 lines in #Python (2/N)
Hi! Yesterday I explained how to write a couple of lines in Python to perform live face detection in a webcam feed [Post]. Check the resources section to find more about the tools I’m using. Today, I’ll add some more code to perform face recognition. And as usual, I’ll work with my kids to test… — read more
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#VSCode – Let’s do some #FaceRecognition with 20 lines in #Python
Hi ! I’ve write a lot about how to use AI models in C# to perform tasks like Face recognition, speech analysis, and more. During the Chicago CodeCamp, someone ask me about how to perform Face Recognition in Python. I didn’t have any working sample to showcase this, and I failed in try to write… — read more
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#AI – #Translatotron is not dot a dorky name, it’s maybe the best translator ever #GoogleResearch
Hi ! A couple of days ago, Google presented Translatotron. The name is not the best name, however the idea is amazing: Google researchers trained a neural network to map audio “voiceprints” from one language to another. After the tool translates an original audio, Translatotron retains the voice and tone of the original speaker. It… — read more
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Lector de huellas en Xamarin Forms
Originally posted on Jorge Diego Crespo: Tras un largo periodo sin escribir nada, vuelvo a la carga con este interesante y sencillo post en el que voy a explicar como autenticar a un usuario mediante el lector de huellas (o face id en los iPhone que así realicen la autenticación) El proceso es tan sencillo… — read more
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#Humor – It’s not a bug it’s a …
Greetings @ Burlington El Bruno — read more
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#MLNET – How to use the AutoML API in a Console App
Hi ! In my last posts I was testing AutoML using the Model Builder inside Visual Studio and also the CLI commands. There is also an API to use this in a .Net app, and the usage is very simple. It all start, of course, adding the [Microsoft.ML.AutoML] nuget package I read the documentation in… — read more
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#MLNET – Are you a Command line user? MLNet CLI is great for some AutoML train tasks!
Hi ! Yesterday I wrote about how easy is to use Model Builder to create Machine Learning models directly from data inside Visual Studio. If you prefer to work with command line interfaces, Machine Learning.Net AutoML also have a CLI interface and with a couple of commands, you can get some amazing results. So, for… — read more
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#MLNET – Testing Machine Learning Model Builder preview. It’s so cool !
Hi ! Last week Machine Learning.Net 1.0 was officially announced during Build 2019, and the ML.Net team also announced a set of ML tools related to ML.Net. One of the most interesting ones is Machine Learning Model Builder. You can get more information about Model Builder in the official website. ML.NET Model Builder provides an… — read more
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El Bruno 