mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-08 01:50:27 +08:00
d3d914856d
* norm and permute batch processing * move cache to mat, batch processors * get batched tensor logic, resize on cpu logic * fix cpu compile error * remove vector mat api * nits * add comments * nits * fix batch size * move initial resize on cpu option to use_cuda api * fix pybind * processor manager pybind * rename mat and matbatch * move initial resize on cpu to ppcls preprocessor --------- Co-authored-by: Jason <jiangjiajun@baidu.com>
116 lines
3.4 KiB
C++
116 lines
3.4 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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#include "fastdeploy/vision/common/processors/proc_lib.h"
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namespace fastdeploy {
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namespace vision {
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bool Processor::operator()(FDMat* mat, ProcLib lib) {
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ProcLib target = lib;
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if (lib == ProcLib::DEFAULT) {
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target = DefaultProcLib::default_lib;
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}
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if (target == ProcLib::FLYCV) {
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#ifdef ENABLE_FLYCV
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return ImplByFlyCV(mat);
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#else
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FDASSERT(false, "FastDeploy didn't compile with FlyCV.");
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#endif
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} else if (target == ProcLib::CUDA) {
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#ifdef WITH_GPU
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FDASSERT(mat->Stream() != nullptr,
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"CUDA processor requires cuda stream, please set stream for Mat");
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return ImplByCuda(mat);
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#else
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FDASSERT(false, "FastDeploy didn't compile with WITH_GPU.");
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#endif
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} else if (target == ProcLib::CVCUDA) {
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#ifdef ENABLE_CVCUDA
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FDASSERT(mat->Stream() != nullptr,
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"CV-CUDA requires cuda stream, please set stream for Mat");
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return ImplByCvCuda(mat);
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#else
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FDASSERT(false, "FastDeploy didn't compile with CV-CUDA.");
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#endif
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}
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// DEFAULT & OPENCV
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return ImplByOpenCV(mat);
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}
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bool Processor::operator()(FDMatBatch* mat_batch, ProcLib lib) {
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ProcLib target = lib;
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if (lib == ProcLib::DEFAULT) {
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target = DefaultProcLib::default_lib;
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}
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if (target == ProcLib::FLYCV) {
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#ifdef ENABLE_FLYCV
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return ImplByFlyCV(mat_batch);
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#else
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FDASSERT(false, "FastDeploy didn't compile with FlyCV.");
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#endif
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} else if (target == ProcLib::CUDA) {
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#ifdef WITH_GPU
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FDASSERT(
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mat_batch->Stream() != nullptr,
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"CUDA processor requires cuda stream, please set stream for mat_batch");
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return ImplByCuda(mat_batch);
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#else
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FDASSERT(false, "FastDeploy didn't compile with WITH_GPU.");
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#endif
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} else if (target == ProcLib::CVCUDA) {
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#ifdef ENABLE_CVCUDA
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FDASSERT(mat_batch->Stream() != nullptr,
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"CV-CUDA processor requires cuda stream, please set stream for "
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"mat_batch");
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return ImplByCvCuda(mat_batch);
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#else
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FDASSERT(false, "FastDeploy didn't compile with CV-CUDA.");
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#endif
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}
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// DEFAULT & OPENCV
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return ImplByOpenCV(mat_batch);
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}
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void EnableFlyCV() {
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#ifdef ENABLE_FLYCV
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DefaultProcLib::default_lib = ProcLib::FLYCV;
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FDINFO << "Will change to use image processing library "
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<< DefaultProcLib::default_lib << std::endl;
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#else
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FDWARNING << "FastDeploy didn't compile with FlyCV, "
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"will fallback to use OpenCV instead."
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<< std::endl;
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#endif
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}
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void DisableFlyCV() {
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DefaultProcLib::default_lib = ProcLib::OPENCV;
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FDINFO << "Will change to use image processing library "
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<< DefaultProcLib::default_lib << std::endl;
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}
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void SetProcLibCpuNumThreads(int threads) {
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cv::setNumThreads(threads);
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#ifdef ENABLE_FLYCV
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fcv::set_thread_num(threads);
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#endif
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}
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} // namespace vision
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} // namespace fastdeploy
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