mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 17:17:14 +08:00
67 lines
2.3 KiB
C++
Executable File
67 lines
2.3 KiB
C++
Executable File
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "fastdeploy/vision.h"
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void RKNPU2Infer(const std::string& tinypose_model_dir,
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const std::string& image_file) {
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auto tinypose_model_file =
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tinypose_model_dir + "/PP_TinyPose_256x192_infer_rk3588_unquantized.rknn";
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std::cout << tinypose_model_file << std::endl;
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auto tinypose_params_file = "";
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auto tinypose_config_file = tinypose_model_dir + "/infer_cfg.yml";
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auto option = fastdeploy::RuntimeOption();
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option.UseRKNPU2();
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auto tinypose_model = fastdeploy::vision::keypointdetection::PPTinyPose(
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tinypose_model_file, tinypose_params_file, tinypose_config_file, option,
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fastdeploy::RKNN);
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if (!tinypose_model.Initialized()) {
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std::cerr << "TinyPose Model Failed to initialize." << std::endl;
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return;
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}
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tinypose_model.DisablePermute();
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tinypose_model.DisableNormalize();
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auto im = cv::imread(image_file);
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fastdeploy::vision::KeyPointDetectionResult res;
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if (!tinypose_model.Predict(&im, &res)) {
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std::cerr << "TinyPose Prediction Failed." << std::endl;
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return;
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} else {
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std::cout << "TinyPose Prediction Done!" << std::endl;
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}
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std::cout << res.Str() << std::endl;
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auto tinypose_vis_im = fastdeploy::vision::VisKeypointDetection(im, res, 0.5);
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cv::imwrite("tinypose_vis_result.jpg", tinypose_vis_im);
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std::cout << "TinyPose visualized result saved in ./tinypose_vis_result.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 << "Usage: infer_demo path/to/pptinypose_model_dir path/to/image "
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"run_option, "
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"e.g ./infer_model ./pptinypose_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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return 0;
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}
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