Please provide complete information as applicable to your setup.
•Hardware Platform Jetson Tx2
•DeepStream Version: 6.0
•JetPack Version (valid for Jetson only):4.6
I’ve a custom model which I’ve converted to TensorRT and is been tested using pycuda. The model takes images as an input and gives out a 128 dimension array as a face embedding, similar to the siamese network. I want to implement this in deepstream as a secondary model after the facenet detector. How can I write a custom parser for such a model to be integrated in deepstream, and extract metadata for this model?