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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
81 lines
2.7 KiB
C++
Executable File
81 lines
2.7 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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#pragma once
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#include "fastdeploy/vision/common/processors/transform.h"
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#include "fastdeploy/vision/common/result.h"
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namespace fastdeploy {
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namespace vision {
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namespace faceid {
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/*! @brief Preprocessor object for InsightFaceRecognition serials model.
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*/
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class FASTDEPLOY_DECL InsightFaceRecognitionPreprocessor {
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public:
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/** \brief Create a preprocessor instance for InsightFaceRecognition serials model
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*/
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InsightFaceRecognitionPreprocessor();
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/** \brief Process the input image and prepare input tensors for runtime
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*
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* \param[in] images The input image data list, all the elements are returned by cv::imread()
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* \param[in] outputs The output tensors which will feed in runtime
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* \return true if the preprocess successed, otherwise false
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*/
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bool Run(std::vector<FDMat>* images, std::vector<FDTensor>* outputs);
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/// Get Size
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std::vector<int> GetSize() { return size_; }
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/// Set size.
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void SetSize(std::vector<int>& size) { size_ = size; }
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/// Get alpha
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std::vector<float> GetAlpha() { return alpha_; }
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/// Set alpha.
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void SetAlpha(std::vector<float>& alpha) { alpha_ = alpha; }
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/// Get beta
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std::vector<float> GetBeta() { return beta_; }
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/// Set beta.
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void SetBeta(std::vector<float>& beta) { beta_ = beta; }
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bool GetPermute() { return permute_; }
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/// Set permute.
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void SetPermute(bool permute) { permute_ = permute; }
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protected:
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bool Preprocess(FDMat* mat, FDTensor* output);
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// Argument for image preprocessing step, tuple of (width, height),
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// decide the target size after resize, default (112, 112)
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std::vector<int> size_;
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// Argument for image preprocessing step, alpha values for normalization,
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// default alpha = {1.f / 127.5f, 1.f / 127.5f, 1.f / 127.5f};
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std::vector<float> alpha_;
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// Argument for image preprocessing step, beta values for normalization,
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// default beta = {-1.f, -1.f, -1.f}
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std::vector<float> beta_;
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// Argument for image preprocessing step, whether to swap the B and R channel,
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// such as BGR->RGB, default true.
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bool permute_;
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};
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} // namespace faceid
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} // namespace vision
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} // namespace fastdeploy
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