Kneron Model Zoo Inference 520 Example - Detection(FCOS)

KL520 Inference Example with NEF model trained from https://doc.kneron.com/docs/#model_training/object_detection_fcos/

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Check

• tutorial ( location: /workspace/ai_training/detection/fcos/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

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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 KL520KnModelZooGenericImageInferenceFcos.py 

step 2-2. run KL720 example:

    cd python/example_model_zoo
    python KL720KnModelZooGenericImageInferenceFcos.py 

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Detail Information:

Platform	backbone	FPS(npu only)	Input format	Preprocess	Normalize
KL520	Darknet53s(FPN type: pan)	7.27369	RGB565	auto (on device)	Kneron mode
KL720	Darknet53s(FPN type: pan)	48.8437	RGB565	auto (on device)	Kneron mode