After a steep learning period with loads of help from the mods and posts from other members, I’m having fun in tryingtraining a model (DetectNet v2 detector) through TLT and run it in a custom built Deepstream App. Now I want to train a secondary detector (SGIE) that further specifies the primary predictions.
While I already have labeled 1000s of images, I came across a forumpost, stating the secondary detector (SGIE) actually is an image classification model instead of an object detector.
I have 3 questions regarding the SGIE;
- Is the SGIE (no back-to-back detector) indeed an image classifier and do I need to use the TLT Image classifier Jupyter notebook?
- Can I use a trained object detector as SGIE, without being used as a back-to-back detector
- If I need to train an image classifier, does it use the labeled bounding boxes (As area if interest)?
Thanks in advance!