El Bruno

Tag: GitHub

#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

May 30, 2019
#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

May 29, 2019
#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
#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
#AI – Multi-Task Deep Neural Networks para Natural Language Understanding

Buenas ! Un equipo de Microsoft Research ha lanzado una nueva Deep Neural Network para el aprendizaje de universal language embbedings: Multi-Task Deep Neural Networks for Natural Language Understanding (MT-DNN). Language embbedings es un proceso que se utiliza para asignar elementos en sentencias o párrafos a representaciones vectoriales. Esto se utiliza principalmente en herramientas como — read more

Mar 20, 2019
#AI – Multi-Task Deep Neural Networks for Natural Language Understanding

Hi ! One team in Microsoft Research have released a new Deep Neural Network for learning universal language embeddings: Multi-Task Deep Neural Networks for Natural Language Understanding (MT-DNN). Language embeddings is a process used to map elements in sentences to vector representations. This is mostly used in tools like LUIS (Language Understanding) to analyze sentences — read more

Mar 19, 2019
#OpenSource – Microsoft anuncia que ofrece la calculadora de Windows en modo Open Sources, y el source code es lo menos importante del anuncio

Buenas ! Hace un par de días, Microsoft anunció que ofrecería el código fuente de la calculadora de Windows en modo Open Source. Official Blog Post, Announcing the Open Sourcing of Windows Calculator Como era de esperar, hubo muchas opiniones diferentes. Hay que incluir a los [haters tiempo completo] que empezaron a soltar argumentos como: — read more

Mar 12, 2019
#OpenSource – Microsoft open sources the Calculator, and the app is the less important part of this

Hi ! A couple of days ago Microsoft announced that they open sourced the Windows Calculator. Official Blog Post, Announcing the Open Sourcing of Windows Calculator And there were a lot of mixed opinions (as usual) about this. Of course, we have the [full time haters] with some arguments like, this is not enough or — read more

Mar 11, 2019
#Event – Materiales utilizados en la sesión [Getting Started with Machine Learning.Net & Windows Machine Learning] con el grupo de usuarios GLUG

Buenas! Es momento de otro post para compartir los materiales utilizados durante la sesión con el grupo de usuarios GLUGnet User Group for .NET, Web, Mobile, Database. Especial agradecimiento para Joe Kunk (@JoeKunk) y a los asistentes al webcast vía Google Hangouts. Por cierto, la sesión fue con los materiales actualizados a la version 0.10 — read more

Feb 26, 2019
#Event – Resources for the session [Getting Started with Machine Learning.Net & Windows Machine Learning] on the GLUG .Net User Group

Hi! Another post-event post, this time with a big thanks to Joe Kunk (@JoeKunk) and to all the members of the GLUGnet User Group for .NET, Web, Mobile, Database. We had an amazing time, via Google Hangouts in the session about Windows ML and Machine Learning.Net. As usual, now it’s time to share slides, code and — read more

Feb 25, 2019
#Event – Resources used on my session at the largest Canada makeathon: @MakeUofT [How a PoC at home can scale to Enterprise Level using #CustomVision APIs]

Hi ! What an amazing time at the Canadian Largest Makeathon: MakeUofT (https://ieee.utoronto.ca/makeuoft/). The event, people and ideas are great. And now it’s time to share some of the materials used during my session How a PoC at home can scale to Enterprise Level using Custom Vision APIs It all started with a DIY project — read more

Feb 19, 2019
#WinML – #CustomVision, reconocimiento de objectos utilizando Onnx en Windows10, calculando FPS

Buenas ! Hoy va un post rápido. Y es del tipo de ayuda mental, ya que siempre que tengo que mostrar información relacionada a proceso de frames por segundo, tengo que buscar en mis aplicaciones anteriores. En este caso agregare esta información al reconocimiento de imágenes con un modelo Onnx exportado desde Custom Vision. En — read more

Jan 29, 2019
#WinML – #CustomVision, object recognition using Onnx in Windows10, calculate FPS

Hi ! Quick post today. And it’s mostly as a brain reminder on the best way to perform a Frames Per Second calculation when we are analyzing images using a ONNX model. In the final UWP app, I added a top right label displaying the current date and time, and the processed FPS And the — read more

Jan 28, 2019
#Onnx – Reconocimiento de objetos con #CustomVision y ONNX desde aplicaciones Windows 10 con Windows ML, Frames de objetos detectados

Buenas ! Custom Vision nos permite crear modelos de reconocimiento de objetos. Una vez entrenados estos modelos, podemos analizar una imagen y el modelo nos ofrecerá como respuesta Una lista de objetos [Tags] detectados en cada imagen Para cada Tag tendremos también la probabilidad [score] asociado al mismo y una serie de valores numéricos con — read more

Jan 24, 2019
#Onnx – Object recognition with #CustomVision and ONNX in Windows applications using Windows ML, drawing frames

Hi ! Custom Vision Allows us to create models of Object recognition. Once these models are trained, we can analyze an image and the model will offer us as an answer A list of [Tags] objects detected in each image For each TAG we will also have the probability [score] associated with it and a — read more

Jan 23, 2019
#Onnx – Object recognition with #CustomVision and ONNX in Windows applications using Windows ML

Hi! One of the most interesting options that gives us Custom Vision, is the ability to export a model trained to be used on other platforms, without invoking Custom Vision own web service. The 4 options available that we have today are CoreML, iOS 11 TensorFlow, Android ONNX, Windows ML DockerFile, Azure IoT Edge, Azure — read more

Jan 22, 2019
#Onnx – Reconocimiento de objetos con #CustomVision y ONNX desde aplicaciones Windows 10 con Windows ML.

Buenas! Una de las opciones mas interesantes que nos brinda Custom Vision, es la capacidad de exportar un modelo entrenado para ser utilizado en otras plataformas, sin invocar el servicio web propio de Custom Vision. Las 4 opciones disponibles que tenemos hoy son CoreML, iOS 11 TensorFlow, Android ONNX, Windows ML DockerFile, Azure IoT Edge, — read more

Jan 22, 2019
#Onnx – Object recognition with #CustomVision and ONNX in Windows applications using WinML

Hi! After a couple of weeks of almost no posts, mostly because of holidays, family trips and some fever days at home, now it’s time to get back to blogging. One of the outstanding issues I have to write is related on how to use ONNX models exported from Custom Vision projects (CV from now — read more

Jan 21, 2019
#Onnx – Reconocimiento de objetos con #CustomVision y ONNX desde aplicaciones Windows WinML.

Buenas! Despues de un par de semanas de vacaciones, viajes y días de cama con fiebre, es momento de volver al blog. Uno de los temas pendientes que tengo para escribir es como utilizar modelos ONNX exportados desde Custom Vision (CV de ahora en más). Empecemos con la definición de este servicio de Cognitive Services: — read more

Jan 21, 2019
#Event – Resources used on my @CodeMash session [How a PoC at home can scale to Enterprise Level using #CustomVision APIs]

Hi ! What an amazing time at CodeMash (http://codemash.org/). This conference is one the best experiences I’ve had so far. I’ll write a more detailed post next week, this one is to share some of the materials used during my session How a PoC at home can scale to Enterprise Level using Custom Vision APIs — read more

Jan 10, 2019