I am planning to retrain model for deepstream, I followed this instruction, https://docs.nvidia.com/metropolis/TLT/tlt-getting-started-guide/index.html
I used default kitti training dataset, DetectNet_v2-ResNet18 for pedestrain, car and cyclist.
I integrated it on jetson xavier nx, but the result is not good at all. The speed is very low about 1 frame per second and the bounding boxes are completely off. I attached a pic of it.
Can you please let me know what I am missing and what should I do to make it better?
Another question was about resnet10 model in primary_detector, is there any solution to improve its accuracy and add some sample data to one of the classes? (for example adding industrial cars to the car dataset)
I would appreciate it if you help me with this issue, I am new to this topic and I have no idea.