We used jetson xavier install by jetpack 4.2.1 with deepstream 4.0
and transfer learing toolkit installed on desktop(Titan XP).
1.We want to retrained yolov2_tiny inference engine in deepstream4.0 samples
it is correct that yolo model engine can be retrained through transfer learning toolkit?
2.if it is. should i download model in NGC(https://ngc.nvidia.com/catalog/models?orderBy=modifiedDESC&query=object&quickFilter=&filters=),and what kind of object detection backbone network?
3.We tried ‘detection.ipynb’ in TLT example and get resnet18_detector.etlt(or uff)
it is usable model engine in jetson xavier? if not, what is the file format can be running in xavier?
but resnet18_detector.etlt size(297.8kB) too small than model_b1_fp32.engine(126.4MB) in xavier.
maybe not the engine? confusing:(