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

Taiki
Beginner
226 Views

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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2 Replies
Rizal_Intel
Moderator
201 Views

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


Munesh_Intel
Moderator
181 Views

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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