Files
FastDeploy/fastdeploy/vision/common/processors/base.cc
Wang Xinyu cb7c8a07d4 [CVCUDA] PaddleDetection preprocessor support CV-CUDA (#1493)
* ppdet preproc use manager

* pad_to_size chw opencv

* pad_to_size chw flycv

* fix pad_to_size flycv

* add warning message

* cvcuda convert cubic to linear, padToSize cvcuda

* stridedpad cvcuda

* fix flycv include

* fix flycv include

* fix flycv build

* cast cvcuda

* fix pybind

* fix normalize permute cuda

* base processor move funcs to cc

* Update pad_to_size.cc
2023-03-10 12:43:57 +08:00

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5.0 KiB
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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "fastdeploy/vision/common/processors/base.h"
#include "fastdeploy/utils/utils.h"
#include "fastdeploy/vision/common/processors/proc_lib.h"
namespace fastdeploy {
namespace vision {
bool Processor::ImplByOpenCV(FDMat* mat) {
FDERROR << Name() << " Not Implement Yet." << std::endl;
return false;
}
bool Processor::ImplByOpenCV(FDMatBatch* mat_batch) {
for (size_t i = 0; i < mat_batch->mats->size(); ++i) {
if (ImplByOpenCV(&(*(mat_batch->mats))[i]) != true) {
return false;
}
}
return true;
}
bool Processor::ImplByFlyCV(FDMat* mat) { return ImplByOpenCV(mat); }
bool Processor::ImplByFlyCV(FDMatBatch* mat_batch) {
for (size_t i = 0; i < mat_batch->mats->size(); ++i) {
if (ImplByFlyCV(&(*(mat_batch->mats))[i]) != true) {
return false;
}
}
return true;
}
bool Processor::ImplByCuda(FDMat* mat) {
FDWARNING << Name()
<< " is not implemented with CUDA, will fallback to OpenCV."
<< std::endl;
return ImplByOpenCV(mat);
}
bool Processor::ImplByCuda(FDMatBatch* mat_batch) {
for (size_t i = 0; i < mat_batch->mats->size(); ++i) {
if (ImplByCuda(&(*(mat_batch->mats))[i]) != true) {
return false;
}
}
return true;
}
bool Processor::ImplByCvCuda(FDMat* mat) {
FDWARNING << Name()
<< " is not implemented with CV-CUDA, will fallback to OpenCV."
<< std::endl;
return ImplByOpenCV(mat);
}
bool Processor::ImplByCvCuda(FDMatBatch* mat_batch) {
for (size_t i = 0; i < mat_batch->mats->size(); ++i) {
if (ImplByCvCuda(&(*(mat_batch->mats))[i]) != true) {
return false;
}
}
return true;
}
bool Processor::operator()(FDMat* mat) {
ProcLib target = mat->proc_lib;
if (mat->proc_lib == ProcLib::DEFAULT) {
target = DefaultProcLib::default_lib;
}
if (target == ProcLib::FLYCV) {
#ifdef ENABLE_FLYCV
return ImplByFlyCV(mat);
#else
FDASSERT(false, "FastDeploy didn't compile with FlyCV.");
#endif
} else if (target == ProcLib::CUDA) {
#ifdef WITH_GPU
FDASSERT(mat->Stream() != nullptr,
"CUDA processor requires cuda stream, please set stream for Mat");
return ImplByCuda(mat);
#else
FDASSERT(false, "FastDeploy didn't compile with WITH_GPU.");
#endif
} else if (target == ProcLib::CVCUDA) {
#ifdef ENABLE_CVCUDA
FDASSERT(mat->Stream() != nullptr,
"CV-CUDA requires cuda stream, please set stream for Mat");
return ImplByCvCuda(mat);
#else
FDASSERT(false, "FastDeploy didn't compile with CV-CUDA.");
#endif
}
// DEFAULT & OPENCV
return ImplByOpenCV(mat);
}
bool Processor::operator()(FDMat* mat, ProcLib lib) {
mat->proc_lib = lib;
return operator()(mat);
}
bool Processor::operator()(FDMatBatch* mat_batch) {
ProcLib target = mat_batch->proc_lib;
if (mat_batch->proc_lib == ProcLib::DEFAULT) {
target = DefaultProcLib::default_lib;
}
if (target == ProcLib::FLYCV) {
#ifdef ENABLE_FLYCV
return ImplByFlyCV(mat_batch);
#else
FDASSERT(false, "FastDeploy didn't compile with FlyCV.");
#endif
} else if (target == ProcLib::CUDA) {
#ifdef WITH_GPU
FDASSERT(
mat_batch->Stream() != nullptr,
"CUDA processor requires cuda stream, please set stream for mat_batch");
return ImplByCuda(mat_batch);
#else
FDASSERT(false, "FastDeploy didn't compile with WITH_GPU.");
#endif
} else if (target == ProcLib::CVCUDA) {
#ifdef ENABLE_CVCUDA
FDASSERT(mat_batch->Stream() != nullptr,
"CV-CUDA processor requires cuda stream, please set stream for "
"mat_batch");
return ImplByCvCuda(mat_batch);
#else
FDASSERT(false, "FastDeploy didn't compile with CV-CUDA.");
#endif
}
// DEFAULT & OPENCV
return ImplByOpenCV(mat_batch);
}
void EnableFlyCV() {
#ifdef ENABLE_FLYCV
DefaultProcLib::default_lib = ProcLib::FLYCV;
FDINFO << "Will change to use image processing library "
<< DefaultProcLib::default_lib << std::endl;
#else
FDWARNING << "FastDeploy didn't compile with FlyCV, "
"will fallback to use OpenCV instead."
<< std::endl;
#endif
}
void DisableFlyCV() {
DefaultProcLib::default_lib = ProcLib::OPENCV;
FDINFO << "Will change to use image processing library "
<< DefaultProcLib::default_lib << std::endl;
}
void SetProcLibCpuNumThreads(int threads) {
cv::setNumThreads(threads);
#ifdef ENABLE_FLYCV
fcv::set_thread_num(threads);
#endif
}
} // namespace vision
} // namespace fastdeploy