Implementing fast semantic segmentation with CPU alone (DeeplabV3)

Katsuya Hyodo

Katsuya Hyodo

Nagoya, Aichi

[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only] OpenVINO+DeeplabV3 RealTime semantic-segmentaion. Python3.5+Tensorflow v1.11.0+OpenCV3.4.3+PIL Latte Panda Alpha or Other x64 PC ...learn more

Project status: Under Development

Internet of Things, Artificial Intelligence

Groups
Internet of Things, DeepLearning

Intel Technologies
OpenVINO, Intel Opt ML/DL Framework, Movidius NCS

Code Samples [1]Links [1]

Overview / Usage

Methodology / Approach

OpenVINO offloads unsupported layers to Tensorflow and performs segmentation fast.

Technologies Used

OpenVINO+DeeplabV3
FP32
Not currently compatible with NCS and NCS2.

Repository

https://github.com/PINTO0309/OpenVINO-DeeplabV3

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