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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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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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@Hairul_IntelDo you have an update for me? Thanks!
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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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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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