mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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62 lines
1.6 KiB
C++
62 lines
1.6 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/base.h"
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#include "fastdeploy/utils/utils.h"
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namespace fastdeploy {
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namespace vision {
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ProcLib Processor::default_lib = ProcLib::DEFAULT;
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bool Processor::CpuRun(Mat* mat) {
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FDERROR << "Unimplemented CpuRun." << std::endl;
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return false;
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}
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#ifdef ENABLE_OPENCV_CUDA
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bool Processor::GpuRun(Mat* mat) {
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FDERROR << "Unimplemented GpuRun." << std::endl;
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return false;
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}
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#endif
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bool Processor::operator()(Mat* mat, ProcLib lib) {
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// if default_lib is set
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// then use default_lib
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ProcLib target = lib;
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if (default_lib != ProcLib::DEFAULT) {
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target = default_lib;
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}
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if (target == ProcLib::OPENCV_CUDA) {
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#ifdef ENABLE_OPENCV_CUDA
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bool ret = GpuRun(mat);
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mat->device = Device::GPU;
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return ret;
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#else
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FDERROR
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<< "OpenCV is not compiled with CUDA, cannot process image with CUDA."
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<< std::endl;
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return false;
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#endif
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}
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bool ret = CpuRun(mat);
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mat->device = Device::CPU;
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return ret;
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}
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} // namespace vision
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} // namespace fastdeploy
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