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Beginner
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Regression results with openvino

Hi,

I'm trying to run a face detection model on inference engine. I got two outputs: one of them is classification output and the other one is a regression output. 

From the regression output the shape array is (1,896,16). From this I would like to use an equivalent function of get_tensor function with openvino to create landmarks but have no idea on how to do it.

If someone has an idea please.

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Moderator
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Hi Thibault,


I would suggest you start by reading the following article, 'Facial landmarks with dlib, OpenCV, and Python’ , available at the following link:


https://www.pyimagesearch.com/2017/04/03/facial-landmarks-dlib-opencv-python/


Regards,

Munesh


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Beginner
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Thanks for the reply and your help

They're using coordinates to create landmarks but I'm not sure to have this coordinates directly in output of my model:

Thib_0-1594886539910.png

I have 896 arrays of 16 values for each image capture from the blazeface model in my stream video. I guess this is just tensors.

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Moderator
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Hi Thibault,


I would suggest you refer to the following pre-trained object recognition models for more insights.

·    landmarks-regression-retail-0009

·    facial-landmarks-35-adas-0002


They can be downloaded via Model Downloader (<OPENVINO_INSTALL_DIR>/deployment_tools/open_model_zoo/tools/downloader).


Regards,

Munesh


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Beginner
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Ok thanks, I already check the code from face_detection demo but they're also working with coordinates in output of the model if I'm not mistaken. I think the solution from this demo with landmarks model is not appropriate to my problem. I'm going to check again thanks.

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Moderator
58 Views

Hi Thibault,


It’s been a while since we heard from you. If you need any additional information from Intel, please submit a new question as Intel is no longer monitoring this thread.


Regards,

Munesh


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