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landmarks-regression-retail-0009: Question on the output for this model

anuragrawal
Beginner
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For the following model : https://docs.openvino.ai/2024/omz_models_model_landmarks_regression_retail_0009.html, there's a statement for outputs:  All the coordinates are normalized to be in range [0, 1]

 

How does this normalization happen? - By dividing the x-coordinates by width of the image and y-coordinates by height of the image? I am referring to face recognition demo but am using another landmarks model. That model doesn't return normalized coordinates so I would need to mimic your normalization logic so that the face identification/recognition part can work properly.

 

Let me know in case of any questions. Thanks!

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Hairul_Intel
Moderator
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Hi anuragrawal,

Thank you for reaching out to us.

 

We're checking this with the relevant teams and will update you as soon as possible.

 

 

Regards,

Hairul


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anuragrawal
Beginner
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Hari_B_Intel
Moderator
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Hi anuragrawal


Sorry for the late response, to answer your question, there is some useful information from https://docs.openvino.ai/2024/omz_models_model_face_reidentification_retail_0095.html


To normalize coordinates, we divide coordinates in pixels for the x- and y-axis by the image's width and height.

The face image will aligned in five-point sequences of the left eye, right eye, tip of nose, left lip corner, and right lip corner, which are located in the following points in normalized coordinates [0,1]x[0,1]:


[(0.31556875000000000, 0.4615741071428571),

(0.68262291666666670, 0.4615741071428571),

(0.50026249999999990, 0.6405053571428571),

(0.34947187500000004, 0.8246919642857142),

(0.65343645833333330, 0.8246919642857142)]


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Peh_Intel
Moderator
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Hi anuragrawal,


This thread will no longer be monitored since we have provided an answer. If you need any additional information from Intel, please submit a new question. 



Regards,

Peh


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