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gaze estimation demo fail in Version 2021.1 & 2021.2

BSung8
New Contributor I
829 Views

OS: win10 / VS2017

CPU: i3-1115G4

Target device : GPU

model:

Face Detection model: face-detection-adas-0001 => work fine

Head Pose Estimation model: head-pose-estimation-adas-0001 => work fine

Facial Landmarks Estimation model: facial-landmarks-35-adas-0002 => work fine

 

Open/Closed Eye Estimation model:  open-closed-eye => not work

( transfer from /openvino_models/public/open-closed-eye-0001/open-closed-eye.onnx )

 

Gaze Estimation model: gaze-estimation-adas-0002 = > not work

 

 

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1 Solution
Munesh_Intel
Moderator
796 Views

Hi Brian,

Thank you for waiting and apologies for the delay.

I’ve just validated Gaze Estimation Demo using the following parameters, and am glad to inform you that the demo is working fine.

 

The steps to execute the demo are given here:

1.    Download all the required models using Model Downloader:

·      gaze-estimation-adas-0002

·      face-detection-retail-0004

·      face-detection-adas-0001

·      head-pose-estimation-adas-0001

·      facial-landmarks-35-adas-0002

·      open-closed-eye-0001

 

2.    Convert open-closed-eye.onnx model to IR format using Model Optimizer, as follows:

 

python mo.py --input_model "C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\open_model_zoo\tools\downloader\public\open-closed-eye-0001\open-closed-eye.onnx" --mean_values [127.0,127.0,127.0] --scale_values [255,255,255] --output 19

 

The conversion argument is available here:

https://github.com/openvinotoolkit/open_model_zoo/blob/master/models/public/open-closed-eye-0001/mod...

 

3.    Run the demo as follows:

 

python <path_to_demo_applications_binaries>\gaze_estimation_demo.exe -i <path_to_video>\input_video.mp4 -m <path_to_model>\gaze-estimation-adas-0002.xml -m_fd <path_to_model>\face-detection-retail-0004.xml -m_hp <path_to_model>\head-pose-estimation-adas-0001.xml -m_lm <path_to_model>\facial-landmarks-35-adas-0002.xml -m_es <path_to_model>\open-closed-eye.xml

 

For target device GPU, you can add the arguments as follows:  

-d GPU, -d_fd GPU, -d_hp GPU, -d_lm GPU, and -d_es GPU

 

 

Regards,

Munesh


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4 Replies
Munesh_Intel
Moderator
815 Views

Hi Bryan,

Thanks for reaching out to us. We are investigating this issue, and will get back to you shortly.


Regards,

Munesh


Munesh_Intel
Moderator
797 Views

Hi Brian,

Thank you for waiting and apologies for the delay.

I’ve just validated Gaze Estimation Demo using the following parameters, and am glad to inform you that the demo is working fine.

 

The steps to execute the demo are given here:

1.    Download all the required models using Model Downloader:

·      gaze-estimation-adas-0002

·      face-detection-retail-0004

·      face-detection-adas-0001

·      head-pose-estimation-adas-0001

·      facial-landmarks-35-adas-0002

·      open-closed-eye-0001

 

2.    Convert open-closed-eye.onnx model to IR format using Model Optimizer, as follows:

 

python mo.py --input_model "C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\open_model_zoo\tools\downloader\public\open-closed-eye-0001\open-closed-eye.onnx" --mean_values [127.0,127.0,127.0] --scale_values [255,255,255] --output 19

 

The conversion argument is available here:

https://github.com/openvinotoolkit/open_model_zoo/blob/master/models/public/open-closed-eye-0001/mod...

 

3.    Run the demo as follows:

 

python <path_to_demo_applications_binaries>\gaze_estimation_demo.exe -i <path_to_video>\input_video.mp4 -m <path_to_model>\gaze-estimation-adas-0002.xml -m_fd <path_to_model>\face-detection-retail-0004.xml -m_hp <path_to_model>\head-pose-estimation-adas-0001.xml -m_lm <path_to_model>\facial-landmarks-35-adas-0002.xml -m_es <path_to_model>\open-closed-eye.xml

 

For target device GPU, you can add the arguments as follows:  

-d GPU, -d_fd GPU, -d_hp GPU, -d_lm GPU, and -d_es GPU

 

 

Regards,

Munesh


BSung8
New Contributor I
790 Views

Hi Munesh,

Thanks!!!

It's work now!!

Munesh_Intel
Moderator
770 Views

Hi Bryan,

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,

Munesh


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