mirror of
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>
63 lines
2.3 KiB
C++
63 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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#ifdef ENABLE_VISION_VISUALIZE
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#include "fastdeploy/vision/visualize/visualize.h"
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namespace fastdeploy {
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namespace vision {
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cv::Mat VisKeypointDetection(const cv::Mat& im,
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const KeyPointDetectionResult& results,
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float conf_threshold) {
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const int edge[][2] = {{0, 1}, {0, 2}, {1, 3}, {2, 4}, {3, 5},
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{4, 6}, {5, 7}, {6, 8}, {7, 9}, {8, 10},
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{5, 11}, {6, 12}, {11, 13}, {12, 14}, {13, 15},
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{14, 16}, {11, 12}};
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auto colormap = GenerateColorMap();
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cv::Mat vis_img = im.clone();
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int detection_nums = results.keypoints.size() / 17;
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for (int i = 0; i < detection_nums; i++){
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int index = i * 17;
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bool is_over_threshold = true;
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for (int j = 0; j < results.num_joints; j++) {
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if (results.scores[index + j] < conf_threshold) {
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is_over_threshold = false;
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break;
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}
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}
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if (is_over_threshold) {
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for (int k = 0; k < results.num_joints; k++) {
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int x_coord = int(results.keypoints[index + k][0]);
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int y_coord = int(results.keypoints[index + k][1]);
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cv::circle(vis_img, cv::Point2d(x_coord, y_coord), 1,
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cv::Scalar(0, 0, 255), 2);
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int x_start = int(results.keypoints[index + edge[k][0]][0]);
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int y_start = int(results.keypoints[index + edge[k][0]][1]);
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int x_end = int(results.keypoints[index + edge[k][1]][0]);
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int y_end = int(results.keypoints[index + edge[k][1]][1]);
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cv::line(vis_img, cv::Point2d(x_start, y_start), cv::Point2d(x_end, y_end),
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colormap[k], 1);
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}
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}
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}
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return vis_img;
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}
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} // namespace vision
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} // namespace fastdeploy
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#endif
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