- In which spec file (detectnet_v2_retrain_resnet18_kitti.txt or detectnet_v2_train_resnet18_kitti.txt) should change the following
model_config {
load_graph: True
…
soft_start_annealing_schedule {
min_learning_rate: 10e-10
max_learning_rate: 10e-10
soft_start: 0.0
annealing: 0.3
}
-
Should I start from the first step i.e creation of tfrecords then train the model, prune it and retrain it all with 10epoch for the test that you mentioned?
-
I’m using the trafficcamnet_pretrained_unpruned_v1.0 as the pretrained model in the specs file for train step? Is it correct or should I pruned model as a base?