mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 09:07:10 +08:00
d70b6c99df
* add override mark * delete some * recovery * recovery * add tracking * add tracking py_bind and example * add pptracking * add pptracking * iomanip head file * add opencv_video lib * add python libs package Signed-off-by: ChaoII <849453582@qq.com> * complete comments Signed-off-by: ChaoII <849453582@qq.com> * add jdeTracker_ member variable Signed-off-by: ChaoII <849453582@qq.com> * add 'FASTDEPLOY_DECL' macro Signed-off-by: ChaoII <849453582@qq.com> * remove kwargs params Signed-off-by: ChaoII <849453582@qq.com> * [Doc]update pptracking docs * delete 'ENABLE_PADDLE_FRONTEND' switch * add pptracking unit test * update pptracking unit test Signed-off-by: ChaoII <849453582@qq.com> * modify test video file path and remove trt test * update unit test model url * remove 'FASTDEPLOY_DECL' macro Signed-off-by: ChaoII <849453582@qq.com> * fix build python packages about pptracking on win32 Signed-off-by: ChaoII <849453582@qq.com> * update comment Signed-off-by: ChaoII <849453582@qq.com> * add pptracking model explain Signed-off-by: ChaoII <849453582@qq.com> Signed-off-by: ChaoII <849453582@qq.com> Co-authored-by: Jason <jiangjiajun@baidu.com>
72 lines
2.7 KiB
C++
72 lines
2.7 KiB
C++
// 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/letter_box.h"
|
|
|
|
namespace fastdeploy{
|
|
namespace vision{
|
|
bool LetterBoxResize::ImplByOpenCV(Mat* mat) {
|
|
|
|
if (mat->Channels() != color_.size()) {
|
|
FDERROR << "Pad: Require input channels equals to size of padding value, "
|
|
"but now channels = "
|
|
<< mat->Channels()
|
|
<< ", the size of padding values = " << color_.size() << "."
|
|
<< std::endl;
|
|
return false;
|
|
}
|
|
cv::Mat* im = mat->GetOpenCVMat();
|
|
// generate scale_factor
|
|
int origin_w = mat->Width();
|
|
int origin_h = mat->Height();
|
|
int target_h = target_size_[0];
|
|
int target_w = target_size_[1];
|
|
float ratio_h = static_cast<float>(target_h) / static_cast<float>(origin_h);
|
|
float ratio_w = static_cast<float>(target_w) / static_cast<float>(origin_w);
|
|
float resize_scale = std::min(ratio_h, ratio_w);
|
|
// get_resized_shape
|
|
int new_shape_w = std::round(im->cols * resize_scale);
|
|
int new_shape_h = std::round(im->rows * resize_scale);
|
|
// calculate pad
|
|
float padw = (target_size_[1] - new_shape_w) / 2.;
|
|
float padh = (target_size_[0] - new_shape_h) / 2.;
|
|
int top = std::round(padh - 0.1);
|
|
int bottom = std::round(padh + 0.1);
|
|
int left = std::round(padw - 0.1);
|
|
int right = std::round(padw + 0.1);
|
|
cv::resize(*im, *im, cv::Size(new_shape_w, new_shape_h), 0, 0, cv::INTER_AREA);
|
|
cv::Scalar color;
|
|
if (color_.size() == 1) {
|
|
color = cv::Scalar(color_[0]);
|
|
} else if (color_.size() == 2) {
|
|
color = cv::Scalar(color_[0], color_[1]);
|
|
} else if (color_.size() == 3) {
|
|
color = cv::Scalar(color_[0], color_[1], color_[2]);
|
|
} else {
|
|
color = cv::Scalar(color_[0], color_[1], color_[2], color_[3]);
|
|
}
|
|
cv::copyMakeBorder(*im, *im, top, bottom, left, right, cv::BORDER_CONSTANT, color);
|
|
mat->SetWidth(im->cols);
|
|
mat->SetHeight(im->rows);
|
|
return true;
|
|
}
|
|
|
|
bool LetterBoxResize::Run(Mat* mat, const std::vector<int>& target_size, const std::vector<float>& color, ProcLib lib) {
|
|
auto l = LetterBoxResize(target_size,color);
|
|
return l(mat, lib);
|
|
}
|
|
|
|
} // namespace vision
|
|
} // namespace fastdeploy
|