I have a detector linked to a tracker then linked to classifier.
The detector detects charachters.
The tracker tracks them and gives a unique id for every one of them.
The classifier classifies the charchter into the appropriate class (‘A’, ‘B’, …)
I just want the full vector of the output layer (softmax layer) of the classifier.
It has the dimensions [1, 26] and contains the [probability to belong to ‘A’, probability to belong to ‘B’, …]
I followed the tutorial provided here: https://github.com/NVIDIA-AI-IOT/deepstream_python_apps/blob/master/apps/deepstream-ssd-parser/custom_parser_guide.md
But the l_user variable is always None. It does not contain any data.
How do I get this vector?