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64 lines
2.2 KiB
C++
64 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/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 Centerpoint model.
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*/
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class FASTDEPLOY_DECL CenterpointPreprocessor : public ProcessorManager {
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public:
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CenterpointPreprocessor() = default;
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/** \brief Create a preprocessor instance for Centerpoint model
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*
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* \param[in] config_file Path of configuration file for deployment, e.g Centerpoint/infer_cfg.yml
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*/
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explicit CenterpointPreprocessor(const std::string& config_file);
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bool Apply(FDMatBatch* image_batch, std::vector<FDTensor>* outputs) {
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return false;
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}
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bool Apply(std::vector<std::string>& points_dir,
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const int64_t num_point_dim,
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const int with_timelag,
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std::vector<FDTensor>& outputs);
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bool Run(std::vector<std::string>& points_dir,
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const int64_t num_point_dim,
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const int with_timelag,
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std::vector<FDTensor>& outputs);
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protected:
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std::vector<std::shared_ptr<Processor>> processors_;
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bool ReadPoint(const std::string &file_path,
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const int64_t num_point_dim,
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std::vector<float> &data, int64_t *num_points);
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bool InsertTimeToPoints(const int64_t num_points,
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const int64_t num_point_dim,
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float *points);
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bool initialized_ = false;
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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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