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LEE__JS1
Beginner
101 Views

Multi-dimension Output

Hello,

 

I am suffering for dealing with the Multi-dimensional Output in Openvino.

 

As far as I found, the output data could be obtained with the code below.

 

>> const auto data = inferRequest.GetBlob(LprOutputName)->buffer().as<float*>();

 

But how can I deal with the multi-dementional output ?

For example, the output could be 1-1-2-3 or 1-2-3-4.

 

Can anybody help me ?

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2 Replies
JesusE_Intel
Moderator
101 Views

Hi JS,

It depends on the model, for example face-detection-adas-004 from the Intel pre-trained models. The output is a blob with shape [1,1,N,7] each detection has the following format:

[image_id, label, conf, x_min, y_min, x_max, y_max], where:

image_id - ID of the image in the batch

label - predicted class ID

conf - confidence for the predicted class

(x_min, y_min) - coordinates of the top left bounding box corner

(x_max, y_max) - coordinates of the bottom right bounding box corner.

 https://github.com/opencv/open_model_zoo/blob/master/models/intel/face-detection-retail-0004/description/face-detection-retail-0004.md#outputs

Take a look at the Interactive Face Detection Demo source on how the output blob is handled.

Regards,

Jesus

 

LEE__JS1
Beginner
101 Views

Dear Jesus E. (Intel),

 

Sorry for late reply and so much thanks to you for your message.

 

I would like to download the model you mentioned and test with it.

 

After the test, I will let you know about the result again.

 

Best regards,

JS

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