Hi NVES,
I am facing a similar problem. I am trying to use TensorRT on Windows 10. After looking into the documentation and other similar posts, this is the workflow I am trying :
Step 1 : Load trained .pb file, remove only training nodes and convert variables to constants.
Step 2 : On a Linux machine, use TensorRT Python UFF api to convert output of step one (a .pb file or graphdf) to UFF format.
Step 3 : Use UFF formant file on Windows 10 in order to create TensorRT engine.
Let me know if this is not the correct workflow for using TensorRT for FasterRCNN on Windows 10.
Pursuing this, I am stuck on step 2 :
Python code:
uff_model = uff.from_tensorflow(frozen_graph_filename, [“detection_scores”])
Error :
uff.model.exceptions.UffException: detection_scores was not found in the graph. Please use the -l option to list nodes in the graph.
Any help is appreciated.
Thanks in advance.