output_blobs of InferRequest in 2022 version

[SidneyZ]

I'm using OpenVino 2022.1.

In previous version 2021.4, use 

res = exec_net.requests[cur_request_id].outputs[out_blob] as 

but now in 2022.1, I tried to use 

detection_classes = exec_net.requests[cur_request_id].output_blobs['detection_classes']

but got "KeyError: 'detection_classes'" error.

in model.xml, the output lay defined as the followings,

<output value="['detection_classes', 'detection_scores', 'detection_boxes', 'num_detections']"/>

what's wrong with my code?

can anyone give me some hint?

regards

sidney

[Peh_Intel]

Hi Sidney,

Thanks for reaching out to us.

You’re getting "KeyError: 'detection_classes'" error because there is no such layer name in the XML file.

The output layers defined in the model.xml are from the original model’s output layers, which are ‘detection_classes', 'detection_scores', 'detection_boxes' and 'num_detections. After converting into IR, the converted model only has an array of summary detection information, named as ‘DetectionOutput’ if the model is ssd_mobilenet_v1_coco.

On another hand, you can get the output layer name in XML file with Netron or with coding:

out_blob=next(iter(net.outputs))

print(out_blob)

Regards,

Peh

[Peh_Intel]

Hi Sidney,

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

Regards,

Peh