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#RaspberryPi – Wow, the new #RaspberryPi4 is amazing !
Hi ! After an amazing weekend, where I split my time supporting 2 different hackathons, today big news is the announcement of the new Raspberry Pi 4. Did you check the news? 64-bit Quad-Core ARM Cortex-A72 processor, with a core clock speed of 1.5GHz 1GB, 2GB or 4GB of RAM 2 4K HDMI displays USB — 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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#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
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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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#AI – Mis posts sobre CustomVision.ai, exportando y utilizando ONNX, Docker, en PC, RaspberryPi, MacOS y más !
Buenas ! Ahora que tengo una pausa entre eventos en Canada y USA, y ya he escrito varios posts al respecto, es el tiempo ideal para compilar y compartir los posts que he escrito sobre CustomVision.ai. Sobre como crear un proyecto de reconocimiento de objectos, como utilizar el mismo en modo web, invocando un HTTP — read more
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#AI – My posts on CustomVision.ai, running on ONNX, Docker, on PC, RaspberryPi, MacOS and more !
Hi ! After the events in Canada and USA, and several posts, I think it’s time to make a recap of the posts I’ve wrote about CustomVision.ai and how I created a custom object recognition project. And later used this as a web HTTP Endpoint in a Console application. And also in Windows 10 with — read more
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#Docker – Tiempos de respuesta promedio utilizando #CustomVision.ai en un contenedor con Docker en #RaspberryPi u en PC
Buenas ! Alguien me pregunto por la performance de un proyecto de customvision.ai ejecutándose en una Raspberry Pi, y se me ocurrió que la mejor forma de explicarlo es mostrar las diferencias de tiempos de respuesta del mismo contenedor en Docker en PC y en una Raspberry Pi. La PC donde haré la prueba tiene — read more
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#Docker – Average response times using a CustomVision.ai docker container in a #RaspberryPi and a PC
Hi ! I was testing the performance of the same customvision.ai exported project, running in a docker container in standard PC and a Raspberry Pi. And, I’m really surprised and happy about the RPI times. Let’s start with the times for a container running in a PC with the following specs Note: I know this — read more
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#MacOs – Where is my Putty? Utilizando SSH y RealVNC para conectar con #RaspberryPi [experiencias en Mac de un long time #Windows user]
Buenas ! En mi post anterior escribí sobre mis experiencias en el nuevo mundo de MacOS. Soy un novato total en este mundo y estoy aprendiendo sobre la marcha para poder ser productivo en mi día a día en Avanade y en mis hobbies y actividades personales. Al igual que en mi post anterior, la — read more
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#MacOs – Where is my Putty? Need for SSH and RealVNC to connect to #RaspberryPi [experiences in Mac from a #Windows user]
Hi ! In my previous post I share the context on why I’m a total newbie into the MacOS world. So today, I want to share another experience when switching from Windows to Mac. As my previous content, the need for a SSH client is based on my live demos on my Custom Vision event. — read more
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#Docker – Sobre puertos, IPs y mas para acceder a un container alojado en #RaspberryPi
Buenas ! Mi proyecto de CustomVision.ai esta compilado y ejecutándose en Docker en Raspberry Pi 3. Ahora llega el momento de utilizar el mismo desde aplicaciones en otros dispositivos, y para este caso, todos en la misma red. Cuando ejecute mi imagen, utilice parámetros para definir la IP y los mapeos de los puertos de — read more
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#Docker – About ports, IPs and more to access a container hosted in a #RaspberryPi
Hi ! So, my CustomVision.ai image is build and running in a container in my Raspberry Pi 3. It’s time to see if I can use it from other devices in the same network. When I run my image I defined IP and Port, but if you want to know these information, the following command — read more
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#Docker – Container muere inmediatamente después de ser iniciado en #RaspberryPi. Obviamente, era un problema de dependencias de #TensorFlow
Buenas ! La creación de imágenes en Docker es un proceso divertido. Cuando cree la imagen de CustomVision.ai para ser ejecutada en Docker en Raspberry Pi, me encontré con unos errores interesantes, así que aprovechare este post para escribir sobre los mismos. La compilación de cada imagen suele tardar alrededor de unos 15 minutos. Ver — read more
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#Docker – Container dies immediately upon successful start in a #RaspberryPi. Of course, it’s all about #TensorFlow dependencies
Hi ! Creating Docker images is a fun process. When I created the CustomVision.ai custom image to be executed in my Raspberry Pi, I faced a couple of errors, so now it’s time to save / share some lessons learned. One of the most frustrating steps was after my 15 min wait time to build — read more
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#CustomVision – Compilar el proyecto de CustomVision en #Docker en una #RaspberryPi
Buenas ! Después de compilar y utilizar el modelo exportado de CustomVision.ai en Windows y Linux, el siguiente paso es intentarlo en una RaspberryPi (RPI). Desde hace un tiempo RPI soporta docker, así que intentare tomar la imagen de Linux y modificar la misma para que funcione en la RPI. Este es el contenido del — read more
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#CustomVision – Building the CustomVision project in #Docker in a #RaspberryPi
Hi ! So my next step in my build process is to host the CustomVision.ai exported model in a RaspberryPi (RPI). RPI supports docker, so it should be easy to work with the exported Linux image. So let’s take a look at the original [DockerFile] in the Linux export FROM python:3.5 ADD app /app RUN — read more
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#Event – I’ll be at @CodeMash on Ohio in 17 days sharing some #AI and #CustomVision experiences
Hi! I’m going to be part of one of the most amazing developer events in NA: CodeMash (http://www.codemash.org/). It will be my first time in Ohio, and also it will be an amazing opportunity to network and have some face-to-face chats with some amazing people. (Just look at the Speaker List) I was also lucky — read more
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#Windows10 – IoT Core, first look to IoT Dashboard, Device Portal and Remote Client
Hello! After review some of the updates for Windows 10 IoT Core, I realized the new app for managing Windows 10 IoT Core devices is great. Setup a new Device The creation of the image to the SD card that will be used in a device is quite simple. From the following view we can Select — read more
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#Windows10 – What’s new in #IoT Core version
Hi ! Windows 10 Anniversary Update is here and there are lot of news to write about. I’ve already wrote about some of the new Hololens features, and I need to write down also some important topics related to Windows 10 IoT Core and Anniversary Update. So let’s start with the basis: the main image and — read more
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#Windows10 – Novedades en Anniversary Update para #IoT Core
Hola ! Windows 10 Anniversary Update ha sido desplegada hace un par de semanas y claro, hay mucho que escribir al respecto. Ya he escrito un poco sobre las novedades para Hololens, y ahora es el momento de comentar (y dejarme apuntado) lo que tenemos para el mundo IoT, es decir para Windows 10 IoT Core con Anniversary — read more
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El Bruno 