El Bruno

#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

May 23, 2019
#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

May 22, 2019
#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

May 21, 2019
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

May 20, 2019
#Humor – It’s not a bug it’s a …

Greetings @ Burlington El Bruno — read more

May 19, 2019
#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

May 16, 2019
#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

May 15, 2019
#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

May 14, 2019
#Event – Resources for the sessions about #DeepLearning and #CustomVision at the @ChicagoCodeCamp

Hi! Another post-event post, this time with a big thanks to the team behind one of the most amazing event I’ve been this year: Chicago CodeCamp. I had the chance to meet a lot of amazing people, to learn a lot during the sessions and also to visit the great city of Chicago. As usual, — read more

May 13, 2019
#AI – Exporting #CustomVision projects to #docker for #RaspberryPi, the extra 2 steps

Hi ! I wrote several posts on how to create a image analysis solution using CustomVision.ai and how to export and use the project in a Raspberry Pi with Docker. In my posts, I created a custom docker file for RPI using as a base the Linux one, from CustomVision.ai. There is a new feature — read more

May 8, 2019
#MSBUILD – #HoloLens 2 Apollo moon landing demo

Hi ! Today at Build, just before Satya Nadella Keynote, there was a failed demo attempt using Hololens 2 and Unreal Engine. “Well, it seems doing a live demo is actually harder than landing on the moon,” said A Man on the Moon author Andrew Chaikin. Lucky for us, there is a video from a — read more

May 7, 2019
#MLNET – ML.NET has turned 1 ! :D

Hi ! I was updating my demos for Chicago CodeCamp, when I realized that Machine Learning.Net released the version 1.0 a couple of days ago! When I was searching for the Microsoft.ML NuGet package, I find that the preview was not the latest version anymore, the official 1.0.0 was available. 2 clicks later, I found — read more

May 6, 2019
#Event – See you @ChicagoCodeCamp on May 11, 2019 for some Deep Learning and Custom Vision experiences

Hi ! I’m very lucky to be at the next Chicago CodeCamp with another session around Custom Vision: How a PoC at home can scale to Enterprise Level using Custom Vision APIs It all started with a DIY project to use Computer Vision for security cameras at home. A custom Machine Learning model is the — read more

May 3, 2019
#Windows10 – Windows #VisionSkills sample UWP App

Hi! Yesterday the Windows Team announced the preview version of Windows Vision Skills. So today I was browsing the samples in Github and I’ve created a simplified version of the Skeleton tracker using a live feed from a webcam. Here are some notes about my GitHub sample The UWP App must be Windows 10 version — read more

May 2, 2019
#Windows10 – Windows Vision Skills (Preview), an amazing set of AI APIs to run in the edge!

Hi! Today’s announcement is a big one if you are interested on move AI capabilities to the Edge. The Windows team make public the preview of Windows Vision Skills framework: Windows Vision Skills framework is meant to standardize the way AI and CV is put to use within a WinRT application running on the edge. — read more

May 1, 2019
#AI – AI for Earth, AI tools in the hands of those working to solve global environmental challenges

Hi ! When I was in Ohio @CodeMash, I was lucky enough to meet Jennifer Marsman, Principal Engineer & speaker on the AI for Earth team at Microsoft (@jennifermarsman). She hosted an amazing session where she shared details about some projects on AI for Earth. AI for Earth puts Microsoft cloud and AI tools in — read more

Apr 30, 2019
#Event – Resources for the session [Getting Started with Machine Learning.Net & #Azure] on the #GlobalAzure Bootcamp in GTA

Hi! Another post-event post, this time with a big thanks to the team behind one of the biggest Community events globally: Global Azure Bootcamp. Avanade Canada sponsored this session and I had the amazing chance to share some insights around Machine Learning.Net and Azure. As usual, now it’s time to share slides, code and more. — read more

Apr 29, 2019
From GitHub to Azure App Service through Azure DevOps pipelines

Originally posted on Juanlu, ElGuerre: En post anteriores vimos como compilar, ejecutar tests y lanzar la cobertura de código desde línea de comandos e incluso ejecutamos el análisis estático con Sonarqube: Runing Tests and Code Coverage without Visual Studio. OpenCover con coverlet y ReportGenerator” y “Code Analysis and Code Coverage using NetCore + VS Code… — read more

Apr 28, 2019
#Humor – Commit comments and how to love your colleagues …

Hi ! Greetings @ Burlington El Bruno — read more

Apr 28, 2019
#Python – The best way to explain how jupyter notebooks works with Visual Studio Code @Code

Hi ! So, after my yesterday post [Edit and work with Jupyter notebooks in Visual Studio Code], today some people asked me how the Jupyter Notebooks and Python integration works. The best way to explain this is with a simple animated video with the following actions Create a cell using the prefix # %% Run — read more

Apr 24, 2019