Kneron Model Zoo Inference 520 Example - Detection(Yolov5)
KL520 Inference Example with NEF model trained from https://doc.kneron.com/docs/#model_training/object_detection_yolov5/
Check
- tutorial ( location: /workspace/ai_training/detection/yolov5/tutorial/tutorial.ipynb )
in
- Kneron Toolchain docker (doc: https://doc.kneron.com/docs/#toolchain/manual_1_overview/)
to learn how to train a the example model, and check
- https://doc.kneron.com/docs/#toolchain/manual_1_overview/
- https://doc.kneron.com/docs/#toolchain/appendix/yolo_example/
to learn how to convert the trained model to NEF model
How to:
step 1. read document at Getting_start and make sure PLUS is ready
step 2-1. run KL520 example:
cd python/example_model_zoo
python KL520KnModelZooGenericImageInferenceYolov5.py step 2-2. run KL720 example:
cd python/example_model_zoo
python KL720KnModelZooGenericImageInferenceYolov5.py Detail Information:
| Platform | backbone | FPS(npu only) | Input format | Preprocess | Normalize |
|---|---|---|---|---|---|
| KL520 | YOLOv5s | 4.91429 | RGB565 | auto (on device) | Kneron mode |
| KL720 | YOLOv5s | 24.4114 | RGB565 | auto (on device) | Kneron mode |