the target classes are listed in post, as:
Bicycle, Motocycle, People. (late will add a new private custom door sign, but can leave it for now).
so the questions come to me:
Any existed models in NGC can santisfy? That means i can directly use in deepstream.
if I have to train on public dataset, any tutorial to follow based on TAO toolkit to train on well-know public dataset? As I know at least those database are in different labeling format that TAO does not support.
since I need seperate Bicycle and Motocycle, so just to make sure, I can’t directly use the existing model for my situation, correct?
About the training, from the Preparing State-of-the-Art Models for Classification and Object Detection… , the object detection training is based on ImageNet-pretrained weight, since training ImageNet model from scratch is not avaible here, can I replace it with a pretrained model from NGC? then I can have a quick transfer training on it by dataset PASCAL VOC, do you have remcommendation what is the base model i should refer(start transfer learning from it)?