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* 重构insightface代码 * 重写insightface example代码 * 重写insightface example代码 * 删除多余代码 * 修改预处理代码 * 修改文档 * 修改文档 * 恢复误删除的文件 * 修改cpp example * 修改cpp example * 测试python代码 * 测试python代码 * 测试python代码 * 测试python代码 * 测试python代码 * 测试python代码 * 测试python代码 * 跑通python代码 * 修复重复初始化的bug * 更新adaface的python代码 * 修复c++重复初始化的问题 * 修复c++重复初始化的问题 * 修复Python重复初始化的问题 * 新增preprocess的几个参数的获取方式 * 修复注释的错误 * 按照要求修改 * 修改文档中的图片为图片压缩包 * 修改编译完成后程序的提示 * 更新错误include * 删除无用文件 * 更新文档
68 lines
2.5 KiB
C++
Executable File
68 lines
2.5 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/faceid/contrib/adaface/postprocessor.h"
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#include "fastdeploy/vision/utils/utils.h"
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namespace fastdeploy {
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namespace vision {
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namespace faceid {
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AdaFacePostprocessor::AdaFacePostprocessor() {
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l2_normalize_ = false;
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}
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bool AdaFacePostprocessor::Run(std::vector<FDTensor>& infer_result,
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std::vector<FaceRecognitionResult>* results) {
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if (infer_result[0].dtype != FDDataType::FP32) {
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FDERROR << "Only support post process with float32 data." << std::endl;
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return false;
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}
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if(infer_result.size() != 1){
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FDERROR << "The default number of output tensor "
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"must be 1 according to insightface." << std::endl;
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}
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int batch = infer_result[0].shape[0];
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results->resize(batch);
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for (size_t bs = 0; bs < batch; ++bs) {
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FDTensor& embedding_tensor = infer_result.at(bs);
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FDASSERT((embedding_tensor.shape[0] == 1), "Only support batch = 1 now.");
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if (embedding_tensor.dtype != FDDataType::FP32) {
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FDERROR << "Only support post process with float32 data." << std::endl;
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return false;
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}
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(*results)[bs].Clear();
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(*results)[bs].Resize(embedding_tensor.Numel());
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// Copy the raw embedding vector directly without L2 normalize
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// post process. Let the user decide whether to normalize or not.
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// Will call utils::L2Normlize() method to perform L2
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// normalize if l2_normalize was set as 'true'.
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std::memcpy((*results)[bs].embedding.data(),
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embedding_tensor.Data(),
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embedding_tensor.Nbytes());
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if (l2_normalize_) {
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auto norm_embedding = utils::L2Normalize((*results)[bs].embedding);
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std::memcpy((*results)[bs].embedding.data(),
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norm_embedding.data(),
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embedding_tensor.Nbytes());
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}
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}
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return true;
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}
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} // namespace detection
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} // namespace vision
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} // namespace fastdeploy
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