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https://github.com/PaddlePaddle/FastDeploy.git
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866d044898
* model done, CLA fix * remove letter_box and ConvertAndPermute, use resize hwc2chw and convert in preprocess * remove useless values in preprocess * remove useless values in preprocess * fix reviewed problem * fix reviewed problem pybind * fix reviewed problem pybind * postprocess fix * add test_fastestdet.py, coco_val2017_500 fixed done, ready to review * fix reviewed problem * python/.../fastestdet.py * fix infer.cc, preprocess, python/fastestdet.py * fix examples/python/infer.py
58 lines
2.1 KiB
C++
58 lines
2.1 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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namespace fastdeploy {
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namespace vision {
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namespace detection {
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/*! @brief Preprocessor object for FastestDet serials model.
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*/
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class FASTDEPLOY_DECL FastestDetPreprocessor {
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public:
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/** \brief Create a preprocessor instance for FastestDet serials model
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*/
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FastestDetPreprocessor();
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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 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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/// Set target size, tuple of (width, height), default size = {352, 352}
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void SetSize(const std::vector<int>& size) { size_ = size; }
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/// Get target size, tuple of (width, height), default size = {352, 352}
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std::vector<int> GetSize() const { return size_; }
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protected:
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bool Preprocess(FDMat* mat, FDTensor* output,
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std::map<std::string, std::array<float, 2>>* im_info);
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// target size, tuple of (width, height), default size = {352, 352}
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std::vector<int> size_;
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};
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} // namespace detection
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} // namespace vision
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} // namespace fastdeploy
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