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SCRFD C++部署示例
本目录下提供infer.cc
在RK356X上,快速完成SCRFD在NPU加速部署的示例。
在部署前,需确认以下两个步骤:
- 软硬件环境满足要求
- 根据开发环境,下载预编译部署库或者从头编译FastDeploy仓库
以上步骤请参考RK2代NPU文档导航实现
编译
mkdir build
cd build
# 下载FastDeploy预编译库,用户可在上文提到的`FastDeploy预编译库`中自行选择合适的版本使用
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-aarch64-rk356X-x.x.x.tgz
tar -xzvf fastdeploy-linux-aarch64-rk356X-x.x.x.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-aarch64-rk356X
make -j8
运行例程
#下载官方转换好的SCRFD模型文件和测试图片
wget https://bj.bcebos.com/paddlehub/fastdeploy/rknpu2/scrfd_500m_bnkps_shape640x640_rknpu2.zip
unzip scrfd_500m_bnkps_shape640x640_rknpu2.zip
wget https://raw.githubusercontent.com/DefTruth/lite.ai.toolkit/main/examples/lite/resources/test_lite_face_detector_3.jpg
./infer_demo scrfd_500m_bnkps_shape640x640_rknpu2/scrfd_500m_bnkps_shape640x640_rk3568_quantized.rknn \
test_lite_face_detector_3.jpg \
1
运行完成可视化结果如下图所示
