Thank you for your response.
Indeed I am already using that library. However, I think that it only provides the overlay to communicate with the DPU. However, the SSD MobileNet v2 is not fully compatible with the DPU, I had to remove the pre-processing and post-processing layers, and then, now, I have to reimplement them.
The pre-processing is easy to implement, and the examples already provide a framework for it. Although, post-processing requires decoding the confidence scores and the box encodings. The libraries in the Vitis AI Libraries, namely this one Vitis-AI/tools/Vitis-AI-Library/xnnpp/src/tfssd at master · Xilinx/Vitis-AI · GitHub, already provide this implementation, and I am avoiding translating it o Python.
I am trying to bind the libraries, but I think that the Vitis Ai 1.4 already provides this binding.