I am trying to do a recognition-based task on the Jetson Xavier for a project using the DS Python bindings.
I figured I could use the pgie for detection, and the sgie for feature extraction.
So far, the pgie works well for detection (courtesy of this repo - https://github.com/NVIDIA-AI-IOT/redaction_with_deepstream), but the sgie fails to feature extraction (I’m using an ONNX model).
Here’s my sgie config file:
Is this in the realm of using parse-bbox-bounding-box or just setting up the sgie config file appropriately to output feature vectors?
I’m running on Jetson AGX Xavier with DS 5.0 / Jetson 4.3 Developer Preview / TensorRT version 7.1.0-1+cuda10.2.
Thanks in advance for the help!