I am using Deepstream 4.0.1 version and tlt-v1 on Jetson Nano.
I am training using Detectnet-v2_resnet18 in tlt-v1.
The tlt-train showed that the training time increased as the number of training data increased.
It takes a lot of time when I need to learn more data from existing data.
I don’t know much about transfer-learning-toolkit…
Is there a way to shorten the training time by learning only additional data from the model that was previously trained?