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How to run object_detection_demo_faster_rcnn using tensorfllow's faster rcnn resnet101 model

Taiki
Beginner
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I want to run object_detection_demo_faster_rcnn using an IR file converted from a tensorfllow faster rcnn resnet101 model, but I don't know what to specify for the "bbox_pred", "proposal" and "ccls_prob" options.

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Rizal_Intel
Moderator
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Hi Taiki,


You would need to search inside your model using Netron application to find corresponding layer names for the arguments.

For example, the pre trained model faster-rcnn-resnet101-coco-sparse-60-0001.

The layer names are as follows:

proposal_name = proposals

bbox_name = div

prob_name = openvino_outputs/cls_score


You can try searching for a particular layer name using Netron.

In the example the next layer contains name such as bbox_reshape which helps to identify the previous layer "div" as the bbox result layer.


Regards,

Rizal


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Munesh_Intel
Moderator
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Hi Taiki,


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


Regards,

Munesh


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