Tag: machine learning
#CrowPi2: a Raspberry Pi Notebook for Extended Creativity
Product Reviews, Raspberry Pi | 3 min | 5590
Last year, Elecrow sent me the CrowPi and I used it in some of my projects, including this video:
Together with the Corel USB accelerator, I programmed a YOLOv2 object detector, etc.
The CrowPi kit is magnificent and has everything you need to start playing with the Raspberry Pi. Furthermore, you get everything in a suitcase, that you can close and clean your "mess" in seconds. :)
Today, Elecrow is announcing a Kickstarter campaign to support the Crowpi2. This time, they integrated the Raspberry Pi in a notebook-like case (see fig. 1), and I think it i...
This tutorial is about training (on PC) and deploying a YOLOv2 object detector on a MAix M1w Dock Suit running MicroPython. The MobileNet is used as a pre-trained model for the training.
Therefore, this tutorial will try to accomplish the following points:
- A quick introduction to YOLO(v2)
- A quick introduction to MAix KPU
- Training, evaluation, and testing of the object detector model (on Jupyter-Notebooks running on Docker)
- Flashing the trained model on the MAi...
Last week, the Coral team released updates to the Coral platform to "address customer feedback and make it easier to use the products and tool-chain". The Python API has now the ability to run multiple models in parallel, using multiple Edge TPUs.
Thus, due to the multiple changes, I updated the Docker image
lemariva/raspbian-edgetpu
which includes the Edge-TPU libraries for Raspberry Pi 3 B+, Jupyter Notebooks and some other interesting libraries (check the Dockerfile). ...This post is about data inside Docker containers. As I mentioned in the last post #Analytics: Docker for Data Science Environment, data in Docker can either be temporary or persistent. In this tutorial, I will focus on Docker volumes, but I will include some info about temporary data and bind mounts too.
Fig 1: Data in Docker container (source) Temporary Data
Inside a Docker container, there are two ways in which data can be kept temporarily. By default, files created inside a container are stored in the writable layer of the container. You do not have to do anything, but every...
In summer 2018, Google announced two Edge TPU devices for machine learning. These are now available under the Coral brand. Two weeks ago, I bought the Coral USB Accelerator. It is a portable USB accessory that brings machine learning inferencing to existing systems and it is compatible with Raspberry Pi and other Linux systems.
Fig. 1: Coral USB Accelerator, Raspberry Pi Camera and a RasPad I wanted to test the performance of the Edge-TPU on my Raspberry Pi3, and as ...
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