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Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.
OpenVINO Inference Engine Python API sample code - NCS2
Train a tiny-YOLOv3 model with transfer learning on a custom dataset and run it with a Raspberry Pi on an Intel Neural Compute Stick 2
Describing How to Use Throughput Mode to Run Inference Effectively on Multiple NCS2 Devices with Intel (r) OpenVINO toolkit
Licence plate recognition problem.
Keras to Tensorflow test for Neural Compute Stick 2
Tutorial and platform to train customized MobileNet-SSD with Tensorflow, and inference on ROS & NCS2. Step-by-step Instruction is included!
Getting started with NCS2 stick using Raspberry Pi
A computer vision and machine learning pipeline on a distributed framework. Designed for an embedded network on low voltage IoT hardware.
Sample application emotion recognition using OpenVINO
Intel NCS2 device plugin for Kubernetes
Simple Dockerfile with a Linux Developer Package of Intel® OpenVINO™ toolkit. There is no need for any manual toolkit download before building this Docker image.
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.
The official repository of the paper Efficient People Counting in Thermal Images: The Benchmark of Resource-Constrained Hardware
Sample application using OpenVINO and NCS2
Prometheus Exporter for Intel NCS2 Metrics
AI technology can now be used on low-cost, low-powered edge computing devices such as the new Raspberry Pi 4