Files
FastDeploy/fastdeploy/vision/visualize/face_detection.cc
Jason df20b2a02b [Other] Remove useless macros (#1095)
* Remove useless macros

* triger ci

* fix check error

* rename INTEGRATE_PADDLE2ONNX to ENABLE_PADDLE2ONNX
2023-01-09 21:35:23 +08:00

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