mirror of
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114 lines
3.3 KiB
C++
114 lines
3.3 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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#include "fastdeploy/vision/common/processors/utils.h"
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namespace fastdeploy {
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namespace vision {
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bool Cast::ImplByOpenCV(Mat* mat) {
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cv::Mat* im = mat->GetOpenCVMat();
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int c = im->channels();
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if (dtype_ == "float") {
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if (im->type() != CV_32FC(c)) {
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im->convertTo(*im, CV_32FC(c));
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}
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} else if (dtype_ == "double") {
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if (im->type() != CV_64FC(c)) {
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im->convertTo(*im, CV_64FC(c));
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}
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} else {
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FDWARNING << "Cast not support for " << dtype_
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<< " now! will skip this operation." << std::endl;
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}
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return true;
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}
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#ifdef ENABLE_FLYCV
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bool Cast::ImplByFlyCV(Mat* mat) {
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fcv::Mat* im = mat->GetFlyCVMat();
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if (dtype_ == "float" && mat->Type() == FDDataType::FP32) {
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return true;
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}
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if (dtype_ == "double" && mat->Type() == FDDataType::FP64) {
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return true;
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}
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if (mat->layout != Layout::HWC) {
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FDERROR
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<< "While using FlyCV to cast image, the image must be layout of HWC."
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<< std::endl;
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return false;
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}
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if (dtype_ == "float") {
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fcv::Mat new_im;
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auto fcv_type = CreateFlyCVDataType(FDDataType::FP32, im->channels());
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im->convert_to(new_im, fcv_type);
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mat->SetMat(new_im);
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} else if (dtype_ == "double") {
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fcv::Mat new_im;
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auto fcv_type = CreateFlyCVDataType(FDDataType::FP64, im->channels());
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im->convert_to(new_im, fcv_type);
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mat->SetMat(new_im);
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} else {
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FDWARNING << "Cast not support for " << dtype_
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<< " now! will skip this operation." << std::endl;
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}
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return true;
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}
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#endif
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#ifdef ENABLE_CVCUDA
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bool Cast::ImplByCvCuda(FDMat* mat) {
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FDDataType dst_dtype;
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if (dtype_ == "float") {
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dst_dtype = FDDataType::FP32;
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} else if (dtype_ == "double") {
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dst_dtype = FDDataType::FP64;
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} else {
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FDWARNING << "Cast not support for " << dtype_
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<< " now! will skip this operation." << std::endl;
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return false;
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}
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if (mat->Type() == dst_dtype) {
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return true;
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}
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// Prepare input tensor
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FDTensor* src = CreateCachedGpuInputTensor(mat);
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auto src_tensor = CreateCvCudaTensorWrapData(*src);
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// Prepare output tensor
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mat->output_cache->Resize(src->Shape(), dst_dtype, "output_cache",
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Device::GPU);
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auto dst_tensor =
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CreateCvCudaTensorWrapData(*(mat->output_cache), mat->layout);
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cvcuda_convert_op_(mat->Stream(), *src_tensor, *dst_tensor, 1.0f, 0.0f);
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mat->SetTensor(mat->output_cache);
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mat->mat_type = ProcLib::CVCUDA;
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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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