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I installed OpenVINO Toolkit. Then I downloaded and converted the human-pose-estimation-3d-0001 model using downloader.py and converter.py.
I built demo apps using Visual Studio 2017.
Then I tried running the human_pose_estimation_demo.exe like this:
human_pose_estimation_demo.exe -i "D:\Videos\pose_vid.mp4" -m "C:\Program Files (x86)\IntelSWTools\openvino_2020.3.355\deployment_tools\open_model_zoo\tools\downloader\public\human-pose-estimation-3d-0001\FP32\human-pose-estimation-3d-0001.xml" -d GPU
Then I get this error:
InferenceEngine: 00007FFCEF541340
Parsing input parameters
[ ERROR ] C:\Program Files (x86)\IntelSWTools\openvino_2020.3.355\deployment_tools\open_model_zoo\tools\downloader\public\human-pose-estimation-3d-0001\FP16\human-pose-estimation-3d-0001.xml: expected to have 2 outputs
I converted the models using mo.py manually.
python "C:\Program Files (x86)\IntelSWTools\openvino_2020.3.355\deployment_tools\model_optimizer\mo.py" --input_model "C:\Program Files (x86)\IntelSWTools\openvino_2020.3.355\deployment_tools\open_model_zoo\tools\downloader\public\human-pose-estimation-3d-0001\human-pose-estimation-3d-0001.onnx"
The error persists.
Please help. Thank you.
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My bad. I was using the wrong model with wrong demo app. The c++ app was for 2 pose estimation while 3d pose estimation was in python demos.
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My bad. I was using the wrong model with wrong demo app. The c++ app was for 2 pose estimation while 3d pose estimation was in python demos.
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Hi Vishnu_Tagglabs,
Thank you for reaching out to us.
Human Pose Estimation C++ Demo showcases the work of a multi-person 2D pose estimation algorithm. You can use the following pre-trained model with the demo:
· “human-pose-estimation-0001”
In the latest OpenVINO™ Toolkit, 4 pre-trained models can be used with this demo. You can check the list of models here:
Regards,
Wan
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Hi Vishnu_Tagglabs,
This thread will no longer be monitored since this issue has been resolved. If you need any additional information from Intel, please submit a new question.
Regards,
Wan

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