I am trying to convert my tensorflow based Faster-RCNN(pretrained COCO model) which uses Inception V2 as feature extractor.
I have gone through the example for Faster-RCNN available under /usr/src/tensorrt/samples/sampleFasterRCNN
I am trying to follow the similar approach for tensorflow and i am facing issue in fusing the RPN and ROI layers in python.
Using graph surgeon i do not know how to create RPROIFused layer as there is no document/example available for TensorRT Plugins input and output parameters for python
For Example config for NMS in TensorRT in python is as follows
NMS = gs.create_plugin_node(name=“NMS”, op=“NMS_TRT”,
inputOrder=[1, 0, 2],
Similarly i would like to know the details of how to use RPROIFused layer in python.