YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO
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Updated
Feb 27, 2022 - Python
YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO
YOLO object detector for Movidius Neural Compute Stick (NCS)
Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.
OpenVINO+NCS2/NCS+MutiModel(FaceDetection, EmotionRecognition)+MultiStick+MultiProcess+MultiThread+USB Camera/PiCamera. RaspberryPi 3 compatible. Async.
A fast stacked hourglass network for human pose estimation on OpenVino
Face Traking Eyes using the RPI3 + NCS1/2(Intel Movidius Neural Compute Stick) based on OpenVINO Toolkit
[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 2 Running on RPI 3 with Threading
[1 FPS / CPU only] OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+OpenCV3.4.3+PIL
YOLOv3 on TensorFlow Core API and Edge Deployment Using the Intel's Neural Compute Stick Series
Train yolo-v2 with keras and Convert weights to Movidius NCS
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!
Hayden Housen's solutions to the 2021 National Cyber Scholarship and Cyber FastTrack Competitions
realtime object detection using VOC dataset
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