YOLO object detector for Movidius Neural Compute Stick (NCS)
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Updated
Dec 12, 2017 - Python
YOLO object detector for Movidius Neural Compute Stick (NCS)
realtime object detection using VOC dataset
Train yolo-v2 with keras and Convert weights to Movidius NCS
A fast stacked hourglass network for human pose estimation on OpenVino
[1 FPS / CPU only] OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+OpenCV3.4.3+PIL
Intel Neural Compute Stick 2 Running on RPI 3 with Threading
[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
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!
YOLOv3 on TensorFlow Core API and Edge Deployment Using the Intel's Neural Compute Stick Series
Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.
Hayden Housen's solutions to the 2021 National Cyber Scholarship and Cyber FastTrack Competitions
Describing How to Use Throughput Mode to Run Inference Effectively on Multiple NCS2 Devices with Intel (r) OpenVINO toolkit
Face Traking Eyes using the RPI3 + NCS1/2(Intel Movidius Neural Compute Stick) based on OpenVINO Toolkit
YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO
OpenVINO+NCS2/NCS+MutiModel(FaceDetection, EmotionRecognition)+MultiStick+MultiProcess+MultiThread+USB Camera/PiCamera. RaspberryPi 3 compatible. Async.
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