mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 17:17:14 +08:00
b565c15bf7
* Add tinypose model * Add PPTinypose python API * Fix picodet preprocess bug && Add Tinypose examples * Update tinypose example code * Update ppseg preprocess if condition * Update ppseg backend support type * Update permute.h * Update README.md * Update code with comments * Move files dir * Delete premute.cc * Add single model pptinypose * Delete pptinypose old code in ppdet * Code format * Add ppdet + pptinypose pipeline model * Fix bug for posedetpipeline * Change Frontend to ModelFormat * Change Frontend to ModelFormat in __init__.py * Add python posedetpipeline/ * Update pptinypose example dir name * Update README.md * Update README.md * Update README.md * Update README.md * Create keypointdetection_result.md * Create README.md * Create README.md * Create README.md * Update README.md * Update README.md * Create README.md * Fix det_keypoint_unite_infer.py bug * Create README.md * Update PP-Tinypose by comment * Update by comment * Add pipeline directory * Add pptinypose dir * Update pptinypose to align accuracy * Addd warpAffine processor * Update GetCpuMat to GetOpenCVMat * Add comment for pptinypose && pipline * Update docs/main_page.md * Add README.md for pptinypose * Add README for det_keypoint_unite * Remove ENABLE_PIPELINE option * Remove ENABLE_PIPELINE option * Change pptinypose default backend * PP-TinyPose Pipeline support multi PP-Detection models * Update pp-tinypose comment * Update by comments * Add single test example Co-authored-by: Jason <jiangjiajun@baidu.com>
52 lines
1.7 KiB
C++
52 lines
1.7 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/warp_affine.h"
|
|
|
|
namespace fastdeploy {
|
|
namespace vision {
|
|
|
|
bool WarpAffine::ImplByOpenCV(Mat* mat) {
|
|
if (mat->layout != Layout::HWC) {
|
|
FDERROR << "WarpAffine: The format of input is not HWC." << std::endl;
|
|
return false;
|
|
}
|
|
cv::Mat* im = mat->GetOpenCVMat();
|
|
if (width_ > 0 && height_ > 0) {
|
|
cv::warpAffine(*im, *im, trans_matrix_, cv::Size(width_, height_), interp_, border_mode_, borderValue_);
|
|
} else {
|
|
FDERROR << "WarpAffine: the parameters must satisfy (width > 0 && height > 0) ."
|
|
<< std::endl;
|
|
return false;
|
|
}
|
|
mat->SetWidth(im->cols);
|
|
mat->SetHeight(im->rows);
|
|
|
|
return true;
|
|
}
|
|
|
|
bool WarpAffine::Run(Mat* mat,
|
|
const cv::Mat& trans_matrix,
|
|
int width, int height,
|
|
int interp,
|
|
int border_mode,
|
|
const cv::Scalar& borderValue,
|
|
ProcLib lib) {
|
|
auto r = WarpAffine(trans_matrix, width, height, interp, border_mode, borderValue);
|
|
return r(mat, lib);
|
|
}
|
|
|
|
} // namespace vision
|
|
} // namespace fastdeploy
|