This projects takes features included in https://github.com/rockchip-linux/kernel and makes them buildable out-of-tree, on mainline kernel
-
Updated
Jan 22, 2017 - C
This projects takes features included in https://github.com/rockchip-linux/kernel and makes them buildable out-of-tree, on mainline kernel
Given real-world scenarios to build a queuing system and the hardware specifications, the user can identify which hardware types work best. The application tested using the Intel® DevCloud.
The main focus area of this project is to propose a possible hardware solution for each scenario. Build out the application and test its performance on the DevCloud using multiple hardware types. Compare the performance to see which hardware performed best.
Simple video player for NanoPi M3
A ROS package for offloading inference to the Intel Movidius VPU Neural Compute Stick. Also, Evaluation of the Intel Movidius VPU Neural Compute Stick for Real-Time Inference.
This repository contains detailed notes of all chapters and all three projects completed in Intel-Edge-AI NanoDegree.
Single Shot MultiBox Detector deployed on a OAK-D Lite cam via DepthAI
The Rockchip VPU driver module code for Linux, taken from rockchip-forwardports. I'm still hesitating between rockchip-vcodec and literate-octo-guacamole though...
Library for modelling performance costs of different Neural Network workloads on NPU devices
Website for Eclipse ioFog, a distributed Edge Compute Network (ECN) platform
Add a description, image, and links to the vpu topic page so that developers can more easily learn about it.
To associate your repository with the vpu topic, visit your repo's landing page and select "manage topics."