mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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85 lines
3.0 KiB
C++
85 lines
3.0 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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#include "opencv2/imgproc/imgproc.hpp"
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namespace fastdeploy {
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namespace vision {
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// Default only support visualize num_classes <= 1000
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// If need to visualize num_classes > 1000
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// Please call Visualize::GetColorMap(num_classes) first
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cv::Mat Visualize::VisFaceDetection(const cv::Mat& im,
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const FaceDetectionResult& result,
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int line_size, float font_size) {
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auto color_map = GetColorMap();
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int h = im.rows;
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int w = im.cols;
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auto vis_im = im.clone();
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bool vis_landmarks = false;
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if ((result.landmarks_per_face > 0) &&
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(result.boxes.size() * result.landmarks_per_face ==
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result.landmarks.size())) {
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vis_landmarks = true;
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}
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for (size_t i = 0; i < result.boxes.size(); ++i) {
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cv::Rect rect(result.boxes[i][0], result.boxes[i][1],
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result.boxes[i][2] - result.boxes[i][0],
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result.boxes[i][3] - result.boxes[i][1]);
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int color_id = i % 333;
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int c0 = color_map[3 * color_id + 0];
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int c1 = color_map[3 * color_id + 1];
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int c2 = color_map[3 * color_id + 2];
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cv::Scalar rect_color = cv::Scalar(c0, c1, c2);
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std::string text = std::to_string(result.scores[i]);
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if (text.size() > 4) {
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text = text.substr(0, 4);
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}
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int font = cv::FONT_HERSHEY_SIMPLEX;
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cv::Size text_size = cv::getTextSize(text, font, font_size, 1, nullptr);
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cv::Point origin;
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origin.x = rect.x;
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origin.y = rect.y;
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cv::Rect text_background =
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cv::Rect(result.boxes[i][0], result.boxes[i][1] - text_size.height,
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text_size.width, text_size.height);
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cv::rectangle(vis_im, rect, rect_color, line_size);
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cv::putText(vis_im, text, origin, font, font_size,
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cv::Scalar(255, 255, 255), 1);
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// vis landmarks (if have)
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if (vis_landmarks) {
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cv::Scalar landmark_color = rect_color;
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for (size_t j = 0; j < result.landmarks_per_face; ++j) {
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cv::Point landmark;
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landmark.x = static_cast<int>(
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result.landmarks[i * result.landmarks_per_face + j][0]);
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landmark.y = static_cast<int>(
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result.landmarks[i * result.landmarks_per_face + j][1]);
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cv::circle(vis_im, landmark, line_size, landmark_color, -1);
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}
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}
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}
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return vis_im;
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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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