Machine Learning Documentation Overview
How to use OpenCL 1.2 in iMX8 on Torizon
In this article, we will show how you can install and test OpenCL libraries optimized for GPUs available on NXP i.MX8/8X/8M Plus SoCs to integrate into your application.
How to Execute Models Tuned by SageMaker Neo using DLR Runtime, Gstreamer and OpenCV on TorizonCore
Learn how to execute models tuned by SageMaker Neo using DLR Runtime, Gstreamer and OpenCV on TorizonCore
Build the AWS AI at the Edge Demo Image
Learn how to build the AWS AI at the Edge demo. The AWS AI at the Edge demonstration is built on top of the Torizon Cloud.
Torizon Sample: Image Classification with Tensorflow Lite
Dive into a Image Classification sample with Tensorflow Lite on Torizon
Torizon Sample: Real Time Object Detection with Tensorflow Lite
Dive into a Image Classification sample with Tensorflow Lite on Torizon
Torizon Sample: Using OpenCV for Computer Vision
In this article, we will show how you can quickly build an application with OpenCV, the most popular open-source computer vision library, using Python.
Train a Neural Network for Object Detection algorithm (SSD) for iMX8 boards using SageMaker Neo
Learn how to train a neural network for object detection using SageMaker Neo.
Build and Run the Amazon SageMaker Edge Manager Demo on Torizon
Learn how to build and run the Amazon SageMaker Edge Manager Demo on Torizon
AI at the Edge, Pasta Detection Demo with AWS
This is a computer vision demonstration that integrates several technologies to showcase an edge computing scenario that involves the detection of pasta using artificial intelligence technology - deep learning, and the visualization of live and historic data processing both on a cloud dashboard, using cloud services from Amazon Web Services, as well as a local graphical user interface (GUI), using a GUI framework that relies on modern web technologies.