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# System prepended metadata

title: OPEN VINO Humin-pose-estimation demo tutorial

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# OPEN VINO Humin-pose-estimation demo tutorial
1. Doing this first: [OpenVINO 環境建制參考資料](https://hackmd.io/c00nMdbLSyuUpEV0BhF2jg?view) 
2. [download pre-trained modules after the development environment has been installed.](https://download.01.org/opencv/2021/openvinotoolkit/2021.2/open_model_zoo/models_bin/3/human-pose-estimation-0002/FP32/)
3. using the command below to run the demo:
/opt/intel/openvino_2021/inference_engine/demos/human_pose_estimation_demo/python/human_pose_estimation_demo.py -i 0 -m /home/link/Downloads/human-pose-estimation-0002.xml -at ae -d CPU

where:
-i  [your image source, could be camera ID(as my example or video)]
-m  [where the module located]
-at [I don't know wtf it is...]
-d  [using device CPU/GPU(don't know why GPU can't work)]

reference:
[Overview of OpenVINO™ Toolkit Pre-Trained Models](https://docs.openvino.ai/2019_R1/_docs_Pre_Trained_Models.html)

[Open module zoo](https://download.01.org/opencv/2021/openvinotoolkit/2021.2/open_model_zoo/models_bin/3/)

