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https://github.com/PaddlePaddle/FastDeploy.git
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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>
62 lines
2.3 KiB
C++
62 lines
2.3 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/utils/utils.h"
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namespace fastdeploy {
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namespace vision {
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namespace utils {
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bool CropImageByBox(const Mat& src_im, Mat* dst_im,
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const std::vector<float>& box, std::vector<float>* center,
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std::vector<float>* scale, const float expandratio) {
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const cv::Mat* img = src_im.GetOpenCVMat();
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cv::Mat* crop_img = dst_im->GetOpenCVMat();
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int xmin = static_cast<int>(box[0]);
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int ymin = static_cast<int>(box[1]);
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int xmax = static_cast<int>(box[2]);
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int ymax = static_cast<int>(box[3]);
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float centerx = (xmin + xmax) / 2.0f;
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float centery = (ymin + ymax) / 2.0f;
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float half_h = (ymax - ymin) * (1 + expandratio) / 2.0f;
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float half_w = (xmax - xmin) * (1 + expandratio) / 2.0f;
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// adjust h or w to keep image ratio, expand the shorter edge
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if (half_h * 3 > half_w * 4) {
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half_w = half_h * 0.75;
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}
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int crop_xmin =std::max(0, static_cast<int>(centerx - half_w));
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int crop_ymin =std::max(0, static_cast<int>(centery - half_h));
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int crop_xmax = std::min(img->cols - 1, static_cast<int>(centerx + half_w));
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int crop_ymax = std::min(img->rows - 1, static_cast<int>(centery + half_h));
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crop_img->create(crop_ymax - crop_ymin, crop_xmax - crop_xmin, img->type());
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*crop_img =
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(*img)(cv::Range(crop_ymin, crop_ymax), cv::Range(crop_xmin, crop_xmax));
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center->clear();
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center->emplace_back((crop_xmin + crop_xmax) / 2.0f);
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center->emplace_back((crop_ymin + crop_ymax) / 2.0f);
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scale->clear();
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scale->emplace_back((crop_xmax - crop_xmin));
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scale->emplace_back((crop_ymax - crop_ymin));
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dst_im->SetWidth(crop_img->cols);
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dst_im->SetHeight(crop_img->rows);
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return true;
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}
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} // namespace utils
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} // namespace vision
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} // namespace fastdeploy
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