Website for Eclipse ioFog, a distributed Edge Compute Network (ECN) platform
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Updated
Mar 7, 2023 - JavaScript
Website for Eclipse ioFog, a distributed Edge Compute Network (ECN) platform
OpenVINO+NCS2/NCS+MutiModel(FaceDetection, EmotionRecognition)+MultiStick+MultiProcess+MultiThread+USB Camera/PiCamera. RaspberryPi 3 compatible. Async.
Python script for object detection using Intel Movidius Neural Compute Stick and a pretrained model to be further used on Raspberry-based hexapod robot.
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.
Describing How to Use Throughput Mode to Run Inference Effectively on Multiple NCS2 Devices with Intel (r) OpenVINO toolkit
Contains code for C3D, LCN and TSM for action recognition models.
YOLOv3 on TensorFlow Core API and Edge Deployment Using the Intel's Neural Compute Stick Series
[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
Quantized Tensorflow Estimator for Google EdgeTpu Accelerator, Dev Board and Intel Neural Compute Stick 2
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!
[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only] OpenVINO+DeeplabV3+LattePandaAlpha/LaptopPC. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+Tensorflow v1.11.0+OpenCV3.4.3+PIL
Intel® Neural Compute Stick Neural Compute Stick1 + Raspberry pi 3B NCSDK/NCAPPZOO
Implementation of ML models with OpenVINO
Set up and run OpenVINO in Docker Ubuntu Environment on Intel CPU with Integrated Graphics
[1 FPS / CPU only] OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+OpenCV3.4.3+PIL
MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.
Challenge the marginal performance of YoloV2 + Neural Compute Stick + RaspberryPi YoloV2+Neural Compute Stick(NCS)+Raspberry Piの限界性能に挑戦
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