mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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aa21272eaa
* add paddle_trt in benchmark * update benchmark in device * update benchmark * update result doc * fixed for CI * update python api_docs * update index.rst * add runtime cpp examples * deal with comments * Update infer_paddle_tensorrt.py * Add runtime quick start * deal with comments * fixed reused_input_tensors&&reused_output_tensors * fixed docs * fixed headpose typo * fixed typo * refactor yolov5 * update model infer * refactor pybind for yolov5 * rm origin yolov5 * fixed bugs * rm cuda preprocess * fixed bugs * fixed bugs * fixed bug * fixed bug * fix pybind * rm useless code * add convert_and_permute * fixed bugs * fixed im_info for bs_predict * fixed bug * add bs_predict for yolov5 * Add runtime test and batch eval * deal with comments * fixed bug * update testcase * fixed batch eval bug * fixed preprocess bug Co-authored-by: Jason <928090362@qq.com> Co-authored-by: Jason <jiangjiajun@baidu.com>
95 lines
3.2 KiB
C++
95 lines
3.2 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/convert_and_permute.h"
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namespace fastdeploy {
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namespace vision {
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ConvertAndPermute::ConvertAndPermute(const std::vector<float>& alpha,
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const std::vector<float>& beta,
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bool swap_rb) {
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FDASSERT(alpha.size() == beta.size(),
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"ConvertAndPermute: requires the size of alpha equal to the size of beta.");
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FDASSERT(alpha.size() > 0 && beta.size() > 0,
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"ConvertAndPermute: requires the size of alpha and beta > 0.");
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alpha_.assign(alpha.begin(), alpha.end());
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beta_.assign(beta.begin(), beta.end());
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swap_rb_ = swap_rb;
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}
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bool ConvertAndPermute::ImplByOpenCV(FDMat* mat) {
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cv::Mat* im = mat->GetOpenCVMat();
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int origin_w = im->cols;
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int origin_h = im->rows;
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std::vector<cv::Mat> split_im;
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cv::split(*im, split_im);
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if (swap_rb_) std::swap(split_im[0], split_im[2]);
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for (int c = 0; c < im->channels(); c++) {
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split_im[c].convertTo(split_im[c], CV_32FC1, alpha_[c], beta_[c]);
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}
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cv::Mat res(origin_h, origin_w, CV_32FC(im->channels()));
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for (int i = 0; i < im->channels(); ++i) {
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cv::extractChannel(split_im[i],
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cv::Mat(origin_h, origin_w, CV_32FC1,
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res.ptr() + i * origin_h * origin_w * 4),
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0);
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}
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mat->SetMat(res);
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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 ConvertAndPermute::ImplByFlyCV(FDMat* mat) {
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if (mat->layout != Layout::HWC) {
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FDERROR << "Only supports input with HWC layout." << 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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if (im->channels() != 3) {
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FDERROR << "Only supports 3-channels image in FlyCV, but now it's "
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<< im->channels() << "." << std::endl;
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return false;
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}
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std::vector<float> mean(3, 0);
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std::vector<float> std(3, 0);
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for (size_t i = 0; i < 3; ++i) {
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std[i] = 1.0 / alpha_[i];
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mean[i] = -1 * beta_[i] * std[i];
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}
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std::vector<uint32_t> channel_reorder_index = {0, 1, 2};
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if (swap_rb_) std::swap(channel_reorder_index[0], channel_reorder_index[2]);
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fcv::Mat new_im;
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fcv::normalize_to_submean_to_reorder(*im, mean, std, channel_reorder_index,
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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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bool ConvertAndPermute::Run(FDMat* mat, const std::vector<float>& alpha,
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const std::vector<float>& beta, bool swap_rb,
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ProcLib lib) {
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auto n = ConvertAndPermute(alpha, beta, swap_rb);
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return n(mat, lib);
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}
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} // namespace vision
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} // namespace fastdeploy
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