Information about Cost function in TLT

[Morganh]

Refer to

Tlt spec file - cost function

Hi Morganh, I am not talking about the actual cost function used to train the model itself, but the parameters specified in the spec file I want to know the meaning of the various parameters as the documentation is vague about them. namely - class_weight, coverage_foreground_weight, initial_weight, weight_target etc. Since I need to add more classes to the the spec file(as mentioned above), I wish to have more clarity regarding these parameters as to what value should I give for the nee classe…

Details on cost_function_config for PeopleNet

Refer to https://docs.nvidia.com/metropolis/TLT/tlt-getting-started-guide/text/faqs.html Distribute the dataset class: How do I balance the weight between classes if the dataset has significantly higher samples for one class versus another? To account for imbalance, increase the class_weight for classes with fewer samples. You can also try disabling enable_autoweighting; in this case initial_weight is used to control cov/regression weighting. It is important to keep the number of samples of …

For training a single class detector, it is easy. You just need to delete all the classes you do not want to train.