Training Peoplenet(person, bag, face) on Detectnet dataset(car, cyclist, pedestrian)


I am trying to train peoplenet using TLT 3.0. I am therefore using the detecnet jupyter notebook with the resnet34 pretrained model.
When I run the TAO training command, the training stops as soon as I receive the first warnings.
Could this be a problem of dataset incompatibility? since the classes in my spec file are bag, face, and person, whereas in the dataset I downloaded initially the classes were car, pedestrian and cyclist.


Please set car, pedestrian and cyclist in your training spec file.

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