// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #pragma once #include "fastdeploy/vision/common/processors/manager.h" #include "fastdeploy/vision/common/processors/transform.h" #include "fastdeploy/vision/common/result.h" namespace fastdeploy { namespace vision { namespace perception { /*! @brief Preprocessor object for Centerpoint model. */ class FASTDEPLOY_DECL CenterpointPreprocessor : public ProcessorManager { public: CenterpointPreprocessor() = default; /** \brief Create a preprocessor instance for Centerpoint model * * \param[in] config_file Path of configuration file for deployment, e.g Centerpoint/infer_cfg.yml */ explicit CenterpointPreprocessor(const std::string& config_file); bool Apply(FDMatBatch* image_batch, std::vector* outputs) { return false; } bool Apply(std::vector& points_dir, const int64_t num_point_dim, const int with_timelag, std::vector& outputs); bool Run(std::vector& points_dir, const int64_t num_point_dim, const int with_timelag, std::vector& outputs); protected: std::vector> processors_; bool ReadPoint(const std::string &file_path, const int64_t num_point_dim, std::vector &data, int64_t *num_points); bool InsertTimeToPoints(const int64_t num_points, const int64_t num_point_dim, float *points); bool initialized_ = false; }; } // namespace perception } // namespace vision } // namespace fastdeploy