Jetson inference selecting model in python code

Hi, I looked to “coding your object detection program” (jetson-inference/ at master · dusty-nv/jetson-inference · GitHub) but I cannot how to open custom model that we trained.
Currently, I have a ssd mobilenet model with onnx format which I trained with dusty_nv2s tutorials.
but, I cannot find how to give this model as an input to my python code (code: net = jetson.inference.detectNet("ssd-mobilenet-v2", threshold=0.5))

Hi @muhammedsezer12 , try it like this:

net = jetson.inference.detectNet(argv=['--model=models/your_model/ssd-mobilenet.onnx', '--labels=models/your_model/labels.txt', '--input-blob=input_0', '--output-cvg=scores', '--output-bbox=boxes'])