Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.
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Updated
Sep 7, 2020 - Python
Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.
Describing How to Use Throughput Mode to Run Inference Effectively on Multiple NCS2 Devices with Intel (r) OpenVINO toolkit
The real-time object detecting autonomous robot. Create your own real-time object detection project using only a Raspberry Pi 3 B+ paired with an Intel Neural Compute Stick 2!
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!
A computer vision and machine learning pipeline on a distributed framework. Designed for an embedded network on low voltage IoT hardware.
Getting started with NCS2 stick using Raspberry Pi
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.
Intel NCS2 device plugin for Kubernetes
Sample application emotion recognition using OpenVINO
The official repository of the paper Efficient People Counting in Thermal Images: The Benchmark of Resource-Constrained Hardware
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