Detectnet_v2 checkpoint interval unexpected results

Accelerated Computing Intelligent Video Analytics TAO Toolkit
9

I hope this script will help others

import os, glob

trained_model = glob.glob("trained_model/model*.tlt")
trained_model = sorted(trained_model, key=lambda x: int(x.rsplit("-")[1].rstrip(".tlt")))

for epoch, checkpoint in enumerate(trained_model):
    # checkpoint = os.path.basename(checkpoint)
    print("epoch: {}, checkpoint: {}".format(epoch, checkpoint))

Output

epoch: 0, checkpoint: trained_model/model.step-0.tlt
epoch: 1, checkpoint: trained_model/model.step-403.tlt
epoch: 2, checkpoint: trained_model/model.step-806.tlt
epoch: 3, checkpoint: trained_model/model.step-1209.tlt
epoch: 4, checkpoint: trained_model/model.step-1612.tlt
epoch: 5, checkpoint: trained_model/model.step-2015.tlt
epoch: 6, checkpoint: trained_model/model.step-2418.tlt
epoch: 7, checkpoint: trained_model/model.step-2821.tlt
epoch: 8, checkpoint: trained_model/model.step-3224.tlt
epoch: 9, checkpoint: trained_model/model.step-3627.tlt
epoch: 10, checkpoint: trained_model/model.step-4030.tlt

This also filters out: events.out.tfevents.1597134478.tlt file, which is present in the same directory.