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.
I would suggest you start by reading the following article, 'Facial landmarks with dlib, OpenCV, and Python’ , available at the following link:
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:
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.
I would suggest you refer to the following pre-trained object recognition models for more insights.
They can be downloaded via Model Downloader (<OPENVINO_INSTALL_DIR>/deployment_tools/open_model_zoo/tools/downloader).
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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