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e3b285c762
* Support PETR v2 * make petrv2 precision equal with the origin repo * delete extra func * modify review problem * delete visualize * Update README_CN.md * Update README.md * Update README_CN.md * fix build problem * delete external variable and function --------- Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
67 lines
2.2 KiB
C++
Executable File
67 lines
2.2 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/manager.h"
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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 perception {
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/*! @brief Preprocessor object for Petr serials model.
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*/
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class FASTDEPLOY_DECL PetrPreprocessor : public ProcessorManager {
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public:
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PetrPreprocessor() = default;
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/** \brief Create a preprocessor instance for Petr model
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*
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* \param[in] config_file Path of configuration file for deployment, e.g smoke/infer_cfg.yml
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*/
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explicit PetrPreprocessor(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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* \return true if the preprocess successed, otherwise false
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*/
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bool Apply(FDMatBatch* image_batch, std::vector<FDTensor>* outputs);
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void Normalize(cv::Mat *im, const std::vector<float> &mean,
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const std::vector<float> &std, float &scale);
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protected:
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bool BuildPreprocessPipelineFromConfig();
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std::vector<std::shared_ptr<Processor>> processors_;
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bool disable_permute_ = false;
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bool initialized_ = false;
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std::string config_file_;
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float scale_ = 1.0f;
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std::vector<float> mean_;
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std::vector<float> std_;
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std::vector<float> input_k_data_;
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};
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} // namespace perception
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} // namespace vision
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} // namespace fastdeploy
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