Files
FastDeploy/examples/vision/facedet/scrfd/rknpu2/cpp/infer.cc
Zheng_Bicheng ca0de42d0b [Model] 新增scrfd rknpu2代码 (#504)
* * 新增scrfd rknpu2代码

* * 新增scrfd python代码

* 修正文档

* 修正文档以及部分错误

* 修改文档

* 修复部分错误

* 修复部分错误

* 修复部分错误

* scrfd更新代码

* scrfd更新代码
2022-11-10 10:05:15 +08:00

79 lines
2.0 KiB
C++

#include <iostream>
#include <string>
#include "fastdeploy/vision.h"
void InferScrfd(const std::string& device = "cpu");
int main() {
InferScrfd("npu");
return 0;
}
fastdeploy::RuntimeOption GetOption(const std::string& device) {
auto option = fastdeploy::RuntimeOption();
if (device == "npu") {
option.UseRKNPU2();
} else {
option.UseCpu();
}
return option;
}
fastdeploy::ModelFormat GetFormat(const std::string& device) {
auto format = fastdeploy::ModelFormat::ONNX;
if (device == "npu") {
format = fastdeploy::ModelFormat::RKNN;
} else {
format = fastdeploy::ModelFormat::ONNX;
}
return format;
}
std::string GetModelPath(std::string& model_path, const std::string& device) {
if (device == "npu") {
model_path += "rknn";
} else {
model_path += "onnx";
}
return model_path;
}
void InferScrfd(const std::string& device) {
std::string model_file =
"./model/scrfd_500m_bnkps_shape640x640_rk3588.";
std::string params_file;
fastdeploy::RuntimeOption option = GetOption(device);
fastdeploy::ModelFormat format = GetFormat(device);
model_file = GetModelPath(model_file, device);
auto model = fastdeploy::vision::facedet::SCRFD(
model_file, params_file, option, format);
if (!model.Initialized()) {
std::cerr << "Failed to initialize." << std::endl;
return;
}
auto image_file =
"./images/test_lite_face_detector_3.jpg";
auto im = cv::imread(image_file);
if (device == "npu") {
model.DisableNormalizeAndPermute();
}
fastdeploy::vision::FaceDetectionResult res;
clock_t start = clock();
if (!model.Predict(&im, &res)) {
std::cerr << "Failed to predict." << std::endl;
return;
}
clock_t end = clock();
auto dur = static_cast<double>(end - start);
printf("InferScrfd use time:%f\n",
(dur / CLOCKS_PER_SEC));
std::cout << res.Str() << std::endl;
auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im, res);
cv::imwrite("vis_result.jpg", vis_im);
std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
}