#include #include #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(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; }