// 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/transform.h" #include "fastdeploy/vision/common/result.h" namespace fastdeploy { namespace vision { namespace classification { /*! @brief Preprocessor object for YOLOv5Cls serials model. */ class FASTDEPLOY_DECL YOLOv5ClsPreprocessor { public: /** \brief Create a preprocessor instance for YOLOv5Cls serials model */ YOLOv5ClsPreprocessor(); /** \brief Process the input image and prepare input tensors for runtime * * \param[in] images The input image data list, all the elements are returned by cv::imread() * \param[in] outputs The output tensors which will feed in runtime * \param[in] ims_info The shape info list, record input_shape and output_shape * \return true if the preprocess successed, otherwise false */ bool Run(std::vector* images, std::vector* outputs, std::vector>>* ims_info); /// Set target size, tuple of (width, height), default size = {224, 224} void SetSize(const std::vector& size) { size_ = size; } /// Get target size, tuple of (width, height), default size = {224, 224} std::vector GetSize() const { return size_; } protected: bool Preprocess(FDMat* mat, FDTensor* output, std::map>* im_info); // target size, tuple of (width, height), default size = {224, 224} std::vector size_; }; } // namespace classification } // namespace vision } // namespace fastdeploy