Please provide the following info (check/uncheck the boxes after creating this topic):
DRIVE OS Linux 5.2.6
DRIVE OS Linux 5.2.0
[y] DRIVE OS Linux 5.2.0 and DriveWorks 3.5
NVIDIA DRIVE™ Software 10.0 (Linux)
NVIDIA DRIVE™ Software 9.0 (Linux)
other DRIVE OS version
Target Operating System
[y] NVIDIA DRIVE™ AGX Xavier DevKit (E3550)
NVIDIA DRIVE™ AGX Pegasus DevKit (E3550)
SDK Manager Version
Host Machine Version
[y] native Ubuntu 18.04
I was reviewing the sample_object_detector_tracker.cpp. I can see that dwDNN is created to infer model which is the same as equeueV2 api of tensorrt?
If I need to use DW apis in Xavier instend of TensorRT apis?
Whether using DW apis will be more efficient and heplful for the construct of the pipeline.
About dwDNN, the model file is needed generate by tensorrt_optimization tool. Is this tool meaning the tensorrt tool and the model file meaning the engine?