# Summary

1. If the inference node works on the whole frame, let it derived from `vp_primary_infer_node` class.
2. If the inference node works on the small cropped images, let it derived from `vp_secondary_infer_node` class.
3. We can define multi derived classes to handle different types of dl models (`detector/pose estimation/classification`). Also, if they work on the same type of target AND with the same logic (for example, hava the same `preprocess/postprocess`), we can use a unique class to load different deep learning models (like resnet18 and resnet50).