mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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94 lines
2.8 KiB
C++
94 lines
2.8 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/hwc2chw.h"
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#include "fastdeploy/function/transpose.h"
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namespace fastdeploy {
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namespace vision {
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bool HWC2CHW::ImplByOpenCV(Mat* mat) {
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if (mat->layout != Layout::HWC) {
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FDERROR << "HWC2CHW: The input data is not Layout::HWC format!"
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<< std::endl;
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return false;
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}
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cv::Mat* im = mat->GetOpenCVMat();
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cv::Mat im_clone = im->clone();
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int rh = im->rows;
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int rw = im->cols;
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int rc = im->channels();
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for (int i = 0; i < rc; ++i) {
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cv::extractChannel(
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im_clone,
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cv::Mat(rh, rw, im->type() % 8,
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im->ptr() + i * rh * rw * FDDataTypeSize(mat->Type())),
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i);
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}
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mat->layout = Layout::CHW;
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return true;
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}
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#ifdef ENABLE_FLYCV
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bool HWC2CHW::ImplByFlyCV(Mat* mat) {
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if (mat->layout != Layout::HWC) {
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FDERROR << "HWC2CHW: The input data is not Layout::HWC format!"
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<< std::endl;
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return false;
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}
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if (mat->Type() != FDDataType::FP32) {
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FDERROR << "HWC2CHW: Only support float data while use FlyCV, but now it's "
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<< mat->Type() << "." << std::endl;
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return false;
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}
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fcv::Mat* im = mat->GetFlyCVMat();
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fcv::Mat new_im;
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fcv::normalize_to_submean_to_reorder(*im, {0.0, 0.0, 0.0}, {1.0, 1.0, 1.0},
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std::vector<uint32_t>(), new_im, false);
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mat->SetMat(new_im);
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mat->layout = Layout::CHW;
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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 HWC2CHW::ImplByCvCuda(FDMat* mat) {
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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({mat->Channels(), mat->Height(), mat->Width()},
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src->Dtype(), "output_cache", Device::GPU);
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auto dst_tensor =
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CreateCvCudaTensorWrapData(*(mat->output_cache), Layout::CHW);
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cvcuda_reformat_op_(mat->Stream(), *src_tensor, *dst_tensor);
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mat->layout = Layout::CHW;
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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 HWC2CHW::Run(Mat* mat, ProcLib lib) {
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auto h = HWC2CHW();
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return h(mat, lib);
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}
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} // namespace vision
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} // namespace fastdeploy
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