mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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df20b2a02b
* Remove useless macros * triger ci * fix check error * rename INTEGRATE_PADDLE2ONNX to ENABLE_PADDLE2ONNX
80 lines
2.8 KiB
C++
80 lines
2.8 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 <iomanip>
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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::Scalar GetMOTBoxColor(int idx) {
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idx = idx * 3;
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cv::Scalar color =
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cv::Scalar((37 * idx) % 255, (17 * idx) % 255, (29 * idx) % 255);
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return color;
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}
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cv::Mat VisMOT(const cv::Mat &img, const MOTResult &results,
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float score_threshold, tracking::TrailRecorder *recorder) {
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cv::Mat vis_img = img.clone();
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int im_h = img.rows;
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int im_w = img.cols;
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float text_scale = std::max(1, static_cast<int>(im_w / 1600.));
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float text_thickness = 2.;
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float line_thickness = std::max(1, static_cast<int>(im_w / 500.));
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for (int i = 0; i < results.boxes.size(); ++i) {
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if (results.scores[i] < score_threshold) {
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continue;
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}
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const int obj_id = results.ids[i];
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const float score = results.scores[i];
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cv::Scalar color = GetMOTBoxColor(obj_id);
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if (recorder != nullptr) {
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int id = results.ids[i];
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auto iter = recorder->records.find(id);
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if (iter != recorder->records.end()) {
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for (int j = 0; j < iter->second.size(); j++) {
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cv::Point center(iter->second[j][0], iter->second[j][1]);
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cv::circle(vis_img, center, text_thickness, color);
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}
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}
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}
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cv::Point pt1 = cv::Point(results.boxes[i][0], results.boxes[i][1]);
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cv::Point pt2 = cv::Point(results.boxes[i][2], results.boxes[i][3]);
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cv::Point id_pt = cv::Point(results.boxes[i][0], results.boxes[i][1] + 10);
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cv::Point score_pt =
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cv::Point(results.boxes[i][0], results.boxes[i][1] - 10);
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cv::rectangle(vis_img, pt1, pt2, color, line_thickness);
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std::ostringstream idoss;
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idoss << std::setiosflags(std::ios::fixed) << std::setprecision(4);
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idoss << obj_id;
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std::string id_text = idoss.str();
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cv::putText(vis_img, id_text, id_pt, cv::FONT_HERSHEY_PLAIN, text_scale,
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color, text_thickness);
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std::ostringstream soss;
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soss << std::setiosflags(std::ios::fixed) << std::setprecision(2);
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soss << score;
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std::string score_text = soss.str();
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cv::putText(vis_img, score_text, score_pt, cv::FONT_HERSHEY_PLAIN,
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text_scale, color, text_thickness);
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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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