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https://github.com/PaddlePaddle/FastDeploy.git
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376fdbfe2c
* Update keypointdetection result docs * Update im.copy() to im in examples * Update new Api, fastdeploy::vision::Visualize to fastdeploy::vision * Update SwapBackgroundSegmentation && SwapBackgroundMatting to SwapBackground * Update README_CN.md * Update README_CN.md
83 lines
2.3 KiB
C++
83 lines
2.3 KiB
C++
#include <iostream>
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#include <string>
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#include "fastdeploy/vision.h"
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void ONNXInfer(const std::string& model_dir, const std::string& image_file) {
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std::string model_file = model_dir + "/scrfd_500m_bnkps_shape640x640.onnx";
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std::string params_file;
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auto option = fastdeploy::RuntimeOption();
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option.UseCpu();
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auto format = fastdeploy::ModelFormat::ONNX;
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auto model = fastdeploy::vision::facedet::SCRFD(
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model_file, params_file, option, format);
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if (!model.Initialized()) {
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std::cerr << "Failed to initialize." << std::endl;
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return;
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}
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fastdeploy::TimeCounter tc;
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tc.Start();
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auto im = cv::imread(image_file);
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fastdeploy::vision::FaceDetectionResult res;
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if (!model.Predict(&im, &res)) {
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std::cerr << "Failed to predict." << std::endl;
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return;
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}
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auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im, res);
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tc.End();
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tc.PrintInfo("SCRFD in ONNX");
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cv::imwrite("infer_onnx.jpg", vis_im);
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std::cout
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<< "Visualized result saved in ./infer_onnx.jpg"
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<< std::endl;
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}
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void RKNPU2Infer(const std::string& model_dir, const std::string& image_file) {
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std::string model_file = model_dir + "/scrfd_500m_bnkps_shape640x640_rk3588.rknn";
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std::string params_file;
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auto option = fastdeploy::RuntimeOption();
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option.UseRKNPU2();
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auto format = fastdeploy::ModelFormat::RKNN;
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auto model = fastdeploy::vision::facedet::SCRFD(model_file, params_file, option, format);
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if (!model.Initialized()) {
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std::cerr << "Failed to initialize." << std::endl;
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return;
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}
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model.DisableNormalizeAndPermute();
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fastdeploy::TimeCounter tc;
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tc.Start();
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auto im = cv::imread(image_file);
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fastdeploy::vision::FaceDetectionResult res;
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if (!model.Predict(&im, &res)) {
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std::cerr << "Failed to predict." << std::endl;
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return;
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}
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auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
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tc.End();
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tc.PrintInfo("SCRFD in RKNN");
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cv::imwrite("infer_rknn.jpg", vis_im);
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std::cout
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<< "Visualized result saved in ./infer_rknn.jpg"
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<< std::endl;
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}
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int main(int argc, char* argv[]) {
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if (argc < 3) {
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std::cout
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<< "Usage: infer_demo path/to/model_dir path/to/image run_option, "
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"e.g ./infer_model ./picodet_model_dir ./test.jpeg"
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<< std::endl;
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return -1;
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}
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RKNPU2Infer(argv[1], argv[2]);
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ONNXInfer(argv[1], argv[2]);
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return 0;
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} |