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.
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.
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