Yolo-v5 demo

导出rknn模型

1. 进到examples/RV1106_RV1103/rknn_yolov5_demo/convert_rknn_demo/yolov5目录下，执行如下命令，可生成rknn模型:

   cd examples/RV1106_RV1103/rknn_yolov5_demo/convert_rknn_demo/yolov5
   python onnx2rknn.py

arm Linux Demo

编译

RV1106/RV1103编译脚本均为 build-linux_RV1106.sh，设置交叉编译器所在目录的路径 RK_RV1106_TOOLCHAIN，例如修改成

export RK_RV1106_TOOLCHAIN=~/opts/toolchain/arm-rockchip830-linux-uclibcgnueabihf/bin/arm-rockchip830-linux-uclibcgnueabihf

然后执行：

./build-linux_RV1106.sh

推送执行文件到板子

连接板子的usb口到PC,将整个demo目录到 /userdata:

adb push install/rknn_yolov5_demo_Linux /userdata/

运行

adb shell
cd /userdata/rknn_yolov5_demo_Linux/

export LD_LIBRARY_PATH=/userdata/rknn_yolov5_demo_Linux/lib
./rknn_yolov5_demo model/RV1106/yolov5s-640-640.rknn model/bus.jpg

Note: LD_LIBRARY_PATH 必须采用全路径