mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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57 lines
1.7 KiB
C++
57 lines
1.7 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/vision/common/processors/cast.h"
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namespace fastdeploy {
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namespace vision {
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bool Cast::CpuRun(Mat* mat) {
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if (mat->layout != Layout::CHW) {
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FDERROR << "Cast: The input data must be Layout::HWC format!" << std::endl;
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return false;
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}
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cv::Mat* im = mat->GetCpuMat();
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if (dtype_ == "float") {
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im->convertTo(*im, CV_32FC(im->channels()));
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} else if (dtype_ == "double") {
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im->convertTo(*im, CV_64FC(im->channels()));
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}
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return true;
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}
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#ifdef ENABLE_OPENCV_CUDA
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bool Cast::GpuRun(Mat* mat) {
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if (mat->layout != Layout::CHW) {
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FDERROR << "Cast: The input data must be Layout::HWC format!" << std::endl;
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return false;
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}
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cv::cuda::GpuMat* im = mat->GetGpuMat();
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if (dtype_ == "float") {
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im->convertTo(*im, CV_32FC(im->channels()));
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} else if (dtype_ == "double") {
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im->convertTo(*im, CV_64FC(im->channels()));
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}
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return true;
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}
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#endif
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bool Cast::Run(Mat* mat, const std::string& dtype, ProcLib lib) {
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auto c = Cast(dtype);
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return c(mat, lib);
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}
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} // namespace vision
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} // namespace fastdeploy
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