61 lines
2.3 KiB
C++
61 lines
2.3 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/fastdeploy_model.h"
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#include "fastdeploy/vision/common/processors/transform.h"
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namespace fastdeploy {
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namespace vision {
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namespace sr {
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class FASTDEPLOY_DECL PPMSVSR : public FastDeployModel {
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public:
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/**
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* Set path of model file and configuration file, and the configuration of runtime
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* @param[in] model_file Path of model file, e.g PPMSVSR/model.pdmodel
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* @param[in] params_file Path of parameter file, e.g PPMSVSR/model.pdiparams
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* @param[in] custom_option RuntimeOption for inference, the default will use cpu, and choose the backend defined in `valid_cpu_backends`
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* @param[in] model_format Model format of the loaded model, default is Paddle format
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*/
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PPMSVSR(const std::string& model_file, const std::string& params_file,
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const RuntimeOption& custom_option = RuntimeOption(),
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const ModelFormat& model_format = ModelFormat::PADDLE);
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/// model name contained PP-MSVSR。
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std::string ModelName() const override { return "PPMSVSR"; }
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/**
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* get super resolution frame sequence
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* @param[in] imgs origin frame sequences
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* @param[in] results super resolution frame sequence
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* @return true if the prediction successed, otherwise false
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*/
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virtual bool Predict(std::vector<cv::Mat>& imgs,
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std::vector<cv::Mat>& results);
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protected:
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PPMSVSR(){};
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virtual bool Initialize();
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virtual bool Preprocess(Mat* mat, std::vector<float>& output);
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virtual bool Postprocess(std::vector<FDTensor>& infer_results,
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std::vector<cv::Mat>& results);
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std::vector<float> mean_;
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std::vector<float> scale_;
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};
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} // namespace sr
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} // namespace vision
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} // namespace fastdeploy
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