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[1 FPS / CPU only] OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+OpenCV3.4.3+PIL

Home Page: https://qiita.com/PINTO

License: MIT License

Python 100.00%
openvino adas cpu gpu ncs neural-compute-stick semantic-segmentation semanticsegmentation lattepanda deeplearning

openvino-adas's Introduction

OpenVINO-ADAS

OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion.

【Japanese article】 https://qiita.com/PINTO/items/5ac8f4395e190d06cfab
【English article】 Introducing Ubuntu 16.04 + OpenVINO to Latte Panda Alpha 864 (without OS included) and enjoying Semantic Segmentation with Neural Compute Stick and Neural Compute Stick 2

Click the image below to play Youtube video. (CPU only mode. 0.9FPS - 1.0FPS)
sample
01

Environment

  • LattePanda Alpha (Intel 7th Core m3-7y30)
  • Ubuntu 16.04 x86_64
  • OpenVINO toolkit 2018 R5 (2018.5.445)
  • Python 3.5
  • OpenCV 4.0.1-openvino
  • PIL

Option

  • CPU
  • GPU
  • 【unstable】Intel Neural Compute Stick / Neural Compute Stick 2

openvino-adas's People

Contributors

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openvino-adas's Issues

Cannot Run on Myriad Device

Hi

I changed the code (changed plugin device and changed model directory to FP16) to run the segmentation on NCS device and I am getting this error:
Traceback (most recent call last):
File "openvino_test_CPU-2.py", line 33, in
exec_net = plugin.load(network=net)
File "ie_api.pyx", line 305, in inference_engine.ie_api.IEPlugin.load
File "ie_api.pyx", line 318, in inference_engine.ie_api.IEPlugin.load
RuntimeError: Cannot convert layer "argmax" due to unsupported layer type "ArgMax"
/teamcity/work/scoring_engine_build/releases_openvino-2018-r4/ie_bridges/python/inference_engine/ie_api_impl.cpp:260

The default segmentation on CPU works just fine.
Kindly advise.

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