xiuos/APP_Framework/Framework/knowing/kpu-postprocessing/yolov2
yangtuo250 4c1580fab2 docs(knowing framework): add README for YOLOv2 region layer 2021-08-13 14:42:18 +08:00
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Kconfig APP_Framework/Framework/:add kpu postprocessing (yolov2) in knowing file 2021-07-21 15:30:39 +08:00
README.md docs(knowing framework): add README for YOLOv2 region layer 2021-08-13 14:42:18 +08:00
SConscript APP_Framework/Framework/:add kpu postprocessing (yolov2) in knowing file 2021-07-21 15:30:39 +08:00
region_layer.c feat(helmet detect): add knowing app helmet detect 2021-08-05 15:05:36 +08:00
region_layer.h feat(helmet detect): add knowing app helmet detect 2021-08-05 15:05:36 +08:00

README.md

KPU(K210) YOLOv2 region layer

Introduction

KPU(k210) accelerate most of CNN network layers, but do not support some of operators of YOLOv2 region layer. Such layers and operators will run on MCU instead.
YOLOv2 region layer accept feature map(shape w*h*c) and return final detection boxes.

Usage

Use (scons --)menuconfig in bsp folder (Ubiquitous/RT_Thread/bsp/k210), open APP_Framework --> Framework --> support knowing framework --> kpu model postprocessing --> yolov2 region layer.