Intel® Distribution of OpenVINO™ Toolkit
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## landmarks-regression-retail-0009: Question on the output for this model

Beginner
851 Views

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!

4 Replies
Moderator
816 Views

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

Beginner
773 Views

@Hairul_IntelDo you have an update for me? Thanks!

Moderator
516 Views

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)]

Moderator
367 Views

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