mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-22 00:02:10 +08:00
65 lines
2.5 KiB
C++
65 lines
2.5 KiB
C++
// 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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#include "fastdeploy/vision/utils/utils.h"
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int main() {
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namespace vis = fastdeploy::vision;
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// 0,1 同一个人, 0,2 不同的人
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std::string model_file = "../resources/models/glint360k_cosface_r100.onnx";
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std::string face0_path = "../resources/images/face_recognition_0.png";
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std::string face1_path = "../resources/images/face_recognition_1.png";
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std::string face2_path = "../resources/images/face_recognition_2.png";
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auto model = vis::deepinsight::CosFace(model_file);
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if (!model.Initialized()) {
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std::cerr << "Init Failed! Model: " << model_file << std::endl;
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return -1;
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} else {
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std::cout << "Init Done! Model:" << model_file << std::endl;
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}
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model.EnableDebug();
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// 设置输出l2 normalize后的embedding
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model.l2_normalize = true;
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cv::Mat face0 = cv::imread(face0_path);
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cv::Mat face1 = cv::imread(face1_path);
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cv::Mat face2 = cv::imread(face2_path);
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vis::FaceRecognitionResult res0;
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vis::FaceRecognitionResult res1;
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vis::FaceRecognitionResult res2;
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if ((!model.Predict(&face0, &res0)) || (!model.Predict(&face1, &res1)) ||
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(!model.Predict(&face2, &res2))) {
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std::cerr << "Prediction Failed." << std::endl;
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return -1;
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}
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std::cout << "Prediction Done!" << std::endl;
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// 输出预测框结果
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std::cout << "--- [Face 0]:" << res0.Str();
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std::cout << "--- [Face 1]:" << res1.Str();
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std::cout << "--- [Face 2]:" << res2.Str();
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// 计算余弦相似度
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float cosine01 = vis::utils::CosineSimilarity(res0.embedding, res1.embedding,
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model.l2_normalize);
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float cosine02 = vis::utils::CosineSimilarity(res0.embedding, res2.embedding,
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model.l2_normalize);
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std::cout << "Detect Done! Cosine 01: " << cosine01
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<< ", Cosine 02:" << cosine02 << std::endl;
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return 0;
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}
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