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* 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * Update issues.md * Update fastdeploy_init.sh * 更新交叉编译 * 更新insightface系列模型的rknpu2支持 * 更新insightface系列模型的rknpu2支持 * 更新说明文档 * 更新insightface * 尝试解决pybind问题 Co-authored-by: Jason <928090362@qq.com> Co-authored-by: Jason <jiangjiajun@baidu.com>
84 lines
2.9 KiB
C++
Executable File
84 lines
2.9 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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/// This function will disable normalize and hwc2chw in preprocessing step.
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void DisableNormalize() { disable_normalize_ = true; }
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/// This function will disable hwc2chw in preprocessing step.
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void DisablePermute() { disable_permute_ = true; }
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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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// for recording the switch of normalize
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bool disable_normalize_ = false;
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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 disable_permute_ = false;
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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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