| #include <map> |
| #include <opencv2/calib3d.hpp> |
| #include <opencv2/features2d.hpp> |
| #include <opencv2/highgui/highgui.hpp> |
| #include <opencv2/imgproc.hpp> |
| |
| #include "aos/events/shm_event_loop.h" |
| #include "aos/init.h" |
| #include "aos/time/time.h" |
| #include "y2020/vision/sift/sift_generated.h" |
| #include "y2020/vision/vision_generated.h" |
| |
| DEFINE_string(config, "config.json", "Path to the config file to use."); |
| DEFINE_string(channel, "/camera", "Channel name for the image."); |
| |
| namespace frc971 { |
| namespace vision { |
| namespace { |
| |
| void ViewerMain() { |
| struct TargetData { |
| float x; |
| float y; |
| float radius; |
| }; |
| |
| std::map<int64_t, TargetData> target_data_map; |
| |
| aos::FlatbufferDetachedBuffer<aos::Configuration> config = |
| aos::configuration::ReadConfig(FLAGS_config); |
| |
| aos::ShmEventLoop event_loop(&config.message()); |
| |
| event_loop.MakeWatcher( |
| FLAGS_channel, [&target_data_map](const CameraImage &image) { |
| // Create color image: |
| cv::Mat image_color_mat(cv::Size(image.cols(), image.rows()), CV_8UC2, |
| (void *)image.data()->data()); |
| cv::Mat rgb_image(cv::Size(image.cols(), image.rows()), CV_8UC3); |
| cv::cvtColor(image_color_mat, rgb_image, CV_YUV2BGR_YUYV); |
| |
| unsigned long timestamp = image.monotonic_timestamp_ns(); |
| auto target_it = target_data_map.find(timestamp); |
| if (target_it != target_data_map.end()) { |
| float x = target_it->second.x; |
| float y = target_it->second.y; |
| float radius = target_it->second.radius; |
| cv::circle(rgb_image, cv::Point2f(x, y), radius, |
| cv::Scalar(0, 255, 0), 5); |
| } |
| |
| cv::imshow("Display", rgb_image); |
| int keystroke = cv::waitKey(1); |
| if ((keystroke & 0xFF) == static_cast<int>('c')) { |
| // Convert again, to get clean image |
| cv::cvtColor(image_color_mat, rgb_image, CV_YUV2BGR_YUYV); |
| std::stringstream name; |
| name << "capture-" << aos::realtime_clock::now() << ".png"; |
| cv::imwrite(name.str(), rgb_image); |
| LOG(INFO) << "Saved image file: " << name.str(); |
| } else if ((keystroke & 0xFF) == static_cast<int>('q')) { |
| exit(0); |
| } |
| }); |
| |
| event_loop.MakeWatcher( |
| FLAGS_channel, [&target_data_map](const sift::ImageMatchResult &match) { |
| int64_t timestamp = match.image_monotonic_timestamp_ns(); |
| if (match.camera_poses() != NULL && match.camera_poses()->size() > 0) { |
| LOG(INFO) << "Got match!\n"; |
| TargetData target_data = { |
| match.camera_poses()->Get(0)->query_target_point_x(), |
| match.camera_poses()->Get(0)->query_target_point_y(), |
| match.camera_poses()->Get(0)->query_target_point_radius()}; |
| target_data_map[timestamp] = target_data; |
| while (target_data_map.size() > 10u) { |
| target_data_map.erase(target_data_map.begin()); |
| } |
| } |
| }); |
| |
| event_loop.Run(); |
| } |
| |
| } // namespace |
| } // namespace vision |
| } // namespace frc971 |
| |
| // Quick and lightweight grayscale viewer for images |
| int main(int argc, char **argv) { |
| aos::InitGoogle(&argc, &argv); |
| frc971::vision::ViewerMain(); |
| } |