Our objective is to know the performance of a detectnet v2 model (to compare it to a ssd or a faster rcnn).
We can’t find any benchmark with detectnet v2.
Can we say it’s a fast model (like ssd) or slower but more accurate (like faster rcnn)?
We have trained a detectectnet v2 faster resnet18 model:
- Image resolution: 1280x1024
- Number of classes: 2
- GPU used: rxt 2080 ti
We got respectable Average precision at the end of the training.
Now we want to see the results on test images with tlt-infer but it’s crashing because of the lack of gpu memory.
Is detectnet v2 a model which consumes a lot of GPU ram, or did we misconfigure something?