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Katsuya Hyodo
Innovator

Katsuya Hyodo

Developer

Topics of interest

AI IoT RealSense™

Nagoya, Aichi

Independent Developer, Intel Software Innovator

Bio

Hobby programmer. R&D, Software Engeneer, IoT Professional coordinator, DeepLearning, Machine Learning, ROS

Repository Links

  • https://github.com/PINTO0309/MobileNetV2-PoseEstimation
  • https://github.com/PINTO0309/OpenVINO-DeeplabV3
  • https://github.com/PINTO0309/OpenVINO-YoloV3
  • https://github.com/PINTO0309/MobileNet-SSD-RealSense
  • https://github.com/PINTO0309/Keras-OneClassAnomalyDetection

Katsuya Hyodo

Following

  • Followers 2
  • Groups 3
  • Follows 2
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  • About Katsuya
  • Projects 5
  • Posts 0
  • Videos 4
  • Statuses 7

Katsuya Hyodo

Projects

5 Results

This repository has its own implementation, impressed by ildoonet's achievements. Thank you, ild...[CPU only 40 FPS++] Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python
6 0 0

[CPU only 40 FPS++] Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python

Katsuya Hyodo Katsuya Hyodo

Created: 05/03/2019

RaspberryPi3(Raspbian Stretch) or Ubuntu16.04/UbuntuMate + Neural Compute Stick(NCS/NCS2) + RealS...Real-time object detection by combination of depth camera and VPU, implementation of high-speed transparentation and distance measurement
6 0 3

Real-time object detection by combination of depth camera and VPU, implementation of high-speed transparentation and distance measurement

Katsuya Hyodo Katsuya Hyodo

Created: 02/02/2019

[5 FPS - 180 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresp...Implementation of high speed anomaly detection (abnormality detection) by low spec edge terminal (DOC)
6 0 0

Implementation of high speed anomaly detection (abnormality detection) by low spec edge terminal (DOC)

Katsuya Hyodo Katsuya Hyodo

Created: 02/02/2019

YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINOImplementation of high-speed object detection by combination of edge terminal and VPU (YoloV3 · tiny-YoloV3)
6 0 1

Implementation of high-speed object detection by combination of edge terminal and VPU (YoloV3 · tiny-YoloV3)

Katsuya Hyodo Katsuya Hyodo

Created: 02/02/2019

[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only] OpenVINO+DeeplabV3 RealTime semantic-s...Implementing fast semantic segmentation with CPU alone (DeeplabV3)
6 0 1

Implementing fast semantic segmentation with CPU alone (DeeplabV3)

Katsuya Hyodo Katsuya Hyodo

Created: 02/02/2019

5 Results

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