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42d14e7119
* fit yolov7face file path * TODO：添加yolov7facePython接口Predict * resolve yolov7face.py * resolve yolov7face.py * resolve yolov7face.py * add yolov7face example readme file * [Doc] fix yolov7face example readme file * [Doc]fix yolov7face example readme file * support BlazeFace * add blazeface readme file * fix review problem * fix code style error * fix review problem * fix review problem * fix head file problem * fix review problem * fix review problem * fix readme file problem * add English readme file * fix English readme file
70 lines
2.2 KiB
C++
70 lines
2.2 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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#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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#include "fastdeploy/vision/detection/ppdet/preprocessor.h"
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namespace fastdeploy {
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namespace vision {
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namespace facedet {
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class FASTDEPLOY_DECL BlazeFacePreprocessor:
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public fastdeploy::vision::detection::PaddleDetPreprocessor {
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public:
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/** \brief Create a preprocessor instance for BlazeFace serials model
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*/
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BlazeFacePreprocessor() = default;
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/** \brief Create a preprocessor instance for Blazeface serials model
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*
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* \param[in] config_file Path of configuration file for deployment, e.g ppyoloe/infer_cfg.yml
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*/
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explicit BlazeFacePreprocessor(const std::string& config_file);
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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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* \param[in] ims_info The shape info list, record input_shape and output_shape
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* \ret
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*/
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bool Run(std::vector<FDMat>* images, std::vector<FDTensor>* outputs,
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std::vector<std::map<std::string, std::array<float, 2>>>* ims_info);
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private:
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bool BuildPreprocessPipelineFromConfig();
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// if is_scale_up is false, the input image only can be zoom out,
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// the maximum resize scale cannot exceed 1.0
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bool is_scale_;
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std::vector<float> normalize_mean_;
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std::vector<float> normalize_std_;
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std::vector<std::shared_ptr<Processor>> processors_;
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// read config file
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std::string config_file_;
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};
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} // namespace facedet
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} // namespace vision
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} // namespace fastdeploy
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