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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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#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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#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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#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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#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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#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
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#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
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#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
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#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
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#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
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#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
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El Bruno 