(DS 4, Xavier)
I have the following setup:
- first run object detection to detect “large” items (say using SSD, Yolo etc), collect all the objects found
- for each object found, run another object detection to find “small” items, by scaling first the object.
For example (not the real use case, just to clarify) - first I detect all the dogs in the frame, then I take each dog detected, scale the image, and run detection for black spots, ticks and nails.
Any insights of how to build such a setup in efficient way in DS ?