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c7ec14de95
* [Model] add vsr serials models Signed-off-by: ChaoII <849453582@qq.com> * [Model] add vsr serials models Signed-off-by: ChaoII <849453582@qq.com> * fix build problem Signed-off-by: ChaoII <849453582@qq.com> * fix code style Signed-off-by: ChaoII <849453582@qq.com> * modify according to review suggestions Signed-off-by: ChaoII <849453582@qq.com> * modify vsr trt example Signed-off-by: ChaoII <849453582@qq.com> * update sr directory * fix BindPPSR * add doxygen comment * add sr unit test * update model file url Signed-off-by: ChaoII <849453582@qq.com> Co-authored-by: Jason <jiangjiajun@baidu.com>
71 lines
2.9 KiB
C++
71 lines
2.9 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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#include "fastdeploy/pybind/main.h"
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namespace fastdeploy{
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void BindPPSR(pybind11::module &m) {
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pybind11::class_<vision::sr::PPMSVSR, FastDeployModel>(m, "PPMSVSR")
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.def(pybind11::init<std::string, std::string, RuntimeOption, ModelFormat>())
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.def("predict", [](vision::sr::PPMSVSR& self, std::vector<pybind11::array>& datas){
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std::vector<cv::Mat> inputs;
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for (auto& data: datas){
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auto mat = PyArrayToCvMat(data);
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inputs.push_back(mat);
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}
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std::vector<cv::Mat> res;
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std::vector<pybind11::array> res_pyarray;
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self.Predict(inputs, res);
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for (auto& img: res){
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auto ret = pybind11::array_t<unsigned char>({img.rows, img.cols, img.channels()}, img.data);
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res_pyarray.push_back(ret);
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}
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return res_pyarray;
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});
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pybind11::class_<vision::sr::EDVR, FastDeployModel>(m, "EDVR")
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.def(pybind11::init<std::string, std::string, RuntimeOption, ModelFormat>())
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.def("predict", [](vision::sr::EDVR& self, std::vector<pybind11::array>& datas){
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std::vector<cv::Mat> inputs;
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for (auto& data: datas){
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auto mat = PyArrayToCvMat(data);
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inputs.push_back(mat);
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}
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std::vector<cv::Mat> res;
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std::vector<pybind11::array> res_pyarray;
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self.Predict(inputs, res);
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for (auto& img: res){
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auto ret = pybind11::array_t<unsigned char>({img.rows, img.cols, img.channels()}, img.data);
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res_pyarray.push_back(ret);
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}
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return res_pyarray;
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});
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pybind11::class_<vision::sr::BasicVSR, FastDeployModel>(m, "BasicVSR")
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.def(pybind11::init<std::string, std::string, RuntimeOption, ModelFormat>())
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.def("predict", [](vision::sr::BasicVSR& self, std::vector<pybind11::array>& datas){
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std::vector<cv::Mat> inputs;
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for (auto& data: datas){
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auto mat = PyArrayToCvMat(data);
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inputs.push_back(mat);
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}
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std::vector<cv::Mat> res;
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std::vector<pybind11::array> res_pyarray;
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self.Predict(inputs, res);
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for (auto& img: res){
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auto ret = pybind11::array_t<unsigned char>({img.rows, img.cols, img.channels()}, img.data);
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res_pyarray.push_back(ret);
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}
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return res_pyarray;
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});
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}
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} // namespace fastdeploy
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