Пример #1
0
int main(int argc, char **argv)
{
  // Parse command line options.
  arg_base::set_help_option("-h");
  arg_parse(argc, argv);

  // Set debug level to 1.
  ntk::ntk_debug_level = 1;

  // Set current directory to application directory.
  // This is to find Nite config in config/ directory.
  // FIXME: this is disabled for OpenCV QT compatibility.
  // QApplication app (argc, argv);
  // QDir::setCurrent(QApplication::applicationDirPath());

  // Prepare body event listeners.
  MyBodyListener body_event_listener;
  BodyEventDetector detector;
  detector.addListener(&body_event_listener);

  // Declare the global OpenNI driver. Only one can be instantiated in a program.
  OpenniDriver ni_driver;

  // Declare the frame grabber.
  OpenniGrabber grabber(ni_driver, opt::kinect_id());
  grabber.setBodyEventDetector(&detector);

  // High resolution 1280x1024 RGB Image.
  if (opt::high_resolution())
    grabber.setHighRgbResolution(true);

  // Start the grabber.
  grabber.connectToDevice();
  grabber.start();

  // Holder for the current image.
  RGBDImage image;

  // Image post processor. Compute mappings when RGB resolution is 1280x1024.
  OpenniRGBDProcessor post_processor;

  namedWindow("depth");
  namedWindow("color");
  namedWindow("users");

  while (true)
  {
    // Wait for a new frame, get a local copy and postprocess it.
    grabber.waitForNextFrame();
    grabber.copyImageTo(image);
    post_processor.processImage(image);

    // Get the last hand point position.
    cv::Point3f handpoint = body_event_listener.getLastHandPosInImage();
    ntk_dbg_print(handpoint, 1);

    // Prepare the depth view, with skeleton and handpoint.
    cv::Mat1b debug_depth_img = normalize_toMat1b(image.depth());
    if (image.skeleton())
      image.skeleton()->drawOnImage(debug_depth_img);
    circle(debug_depth_img, Point(handpoint.x, handpoint.y), 5, Scalar(0, 255, 255));

    // Prepare the color view, with skeleton and handpoint.
    cv::Mat3b debug_color_img;
    image.mappedRgb().copyTo(debug_color_img);
    if (image.skeleton())
      image.skeleton()->drawOnImage(debug_color_img);
    circle(debug_color_img, Point(handpoint.x, handpoint.y), 5, Scalar(0, 255, 255));

    // Prepare the user mask view as colors.
    cv::Mat3b debug_users;
    image.fillRgbFromUserLabels(debug_users);

    imshow("depth", debug_depth_img);
    imshow("color", debug_color_img);
    imshow("users", debug_users);
    cv::waitKey(10);
  }

  // return app.exec();
}
bool SurfelsRGBDModeler :: addNewView(const RGBDImage& image_, Pose3D& depth_pose)
{
    ntk::TimeCount tc("SurfelsRGBDModeler::addNewView", 1);
    const float max_camera_normal_angle = ntk::deg_to_rad(90);

    RGBDImage image;
    image_.copyTo(image);
    if (!image_.normal().data)
    {
        OpenniRGBDProcessor processor;
        processor.computeNormalsPCL(image);
    }

    Pose3D rgb_pose = depth_pose;
    rgb_pose.toRightCamera(image.calibration()->rgb_intrinsics, image.calibration()->R, image.calibration()->T);

    Pose3D world_to_camera_normal_pose;
    world_to_camera_normal_pose.applyTransformBefore(cv::Vec3f(0,0,0), depth_pose.cvEulerRotation());
    Pose3D camera_to_world_normal_pose = world_to_camera_normal_pose;
    camera_to_world_normal_pose.invert();

    const Mat1f& depth_im = image.depth();
    Mat1b covered_pixels (depth_im.size());
    covered_pixels = 0;

    std::list<Surfel> surfels_to_reinsert;

    // Surfel updating.
    for (SurfelMap::iterator next_it = m_surfels.begin(); next_it != m_surfels.end(); )
    {
        SurfelMap::iterator surfel_it = next_it;
        ++next_it;

        Surfel& surfel = surfel_it->second;
        if (!surfel.enabled())
            continue;

        Point3f surfel_2d = depth_pose.projectToImage(surfel.location);
        bool surfel_deleted = false;
        int r = ntk::math::rnd(surfel_2d.y);
        int c = ntk::math::rnd(surfel_2d.x);
        int d = ntk::math::rnd(surfel_2d.z);
        if (!is_yx_in_range(depth_im, r, c)
                || !image.depthMask()(r, c)
                || !image.isValidNormal(r,c))
            continue;

        const float update_max_dist = getCompatibilityDistance(depth_im(r,c));

        Vec3f camera_normal = image.normal()(r, c);
        normalize(camera_normal);

        Vec3f world_normal = camera_to_world_normal_pose.cameraTransform(camera_normal);
        normalize(world_normal);

        Vec3f eyev = camera_eye_vector(depth_pose, r, c);
        double camera_angle = acos(camera_normal.dot(-eyev));

        if (camera_angle > max_camera_normal_angle)
            continue;

        float normal_angle = acos(world_normal.dot(surfel.normal));
        // Surfels have different normals, maybe two different faces of the same object.
        if (normal_angle > (m_update_max_normal_angle*M_PI/180.0))
        {
            // Removal check. If a surfel has a different normal and is closer to the camera
            // than the new scan, remove it.
            if ((-surfel_2d.z) < depth_im(r,c) && surfel.n_views < 3)
            {
                m_surfels.erase(surfel_it);
                surfel_deleted = true;
            }
            continue;
        }

        // If existing surfel is far from new depth value:
        // - If existing one had a worst point of view, and was seen only once, remove it.
        // - Otherwise do not include the new one.
        if (std::abs(surfel_2d.z - depth_im(r,c)) > update_max_dist)
        {
            if (surfel.min_camera_angle > camera_angle && surfel.n_views < 3)
            {
                m_surfels.erase(surfel_it);
                surfel_deleted = true;
            }
            else
                covered_pixels(r,c) = 1;
            continue;
        }

        // Compatible surfel found.
        const float depth = depth_im(r,c) + m_global_depth_offset;

        Point3f p3d = depth_pose.unprojectFromImage(Point2f(c,r), depth);
        cv::Vec3b rgb_color = bgr_to_rgb(image.mappedRgb()(r, c));

        Surfel image_surfel;
        image_surfel.location = p3d;
        image_surfel.normal = world_normal;
        image_surfel.color = rgb_color;
        image_surfel.min_camera_angle = camera_angle;
        image_surfel.n_views = 1;
        image_surfel.radius = computeSurfelRadius(depth, camera_normal[2], depth_pose.meanFocal());
        mergeToLeftSurfel(surfel, image_surfel);

        covered_pixels(r,c) = 1;
        // needs to change the cell?
        Cell new_cell = worldToCell(surfel.location);
        if (new_cell != surfel_it->first)
        {
            surfels_to_reinsert.push_back(surfel);
            m_surfels.erase(surfel_it);
        }
    }

    foreach_const_it(it, surfels_to_reinsert, std::list<Surfel>)
    {
        Cell new_cell = worldToCell(it->location);
        m_surfels.insert(std::make_pair(new_cell, *it));
    }
Пример #3
0
  void RGBDFrameRecorder :: saveCurrentFrame(const RGBDImage& image)
  {
    std::string frame_dir = format("%s/view%04d", m_dir.absolutePath().toStdString().c_str(), m_frame_index);
    std::string raw_frame_dir = format("%s/raw", frame_dir.c_str(), m_frame_index);

    QDir dir (frame_dir.c_str());
    dir.mkpath("raw");

    std::string filename;

    if (!m_only_raw)
    {
      filename = cv::format("%s/color.png", frame_dir.c_str());
      imwrite(filename, image.rgb());
    }

    filename = cv::format("%s/raw/color.png", frame_dir.c_str());
    imwrite(filename, image.rawRgb());

    if (!m_only_raw && image.mappedDepth().data)
    {
      filename = cv::format("%s/mapped_depth.png", frame_dir.c_str());
      imwrite_normalized(filename, image.mappedDepth());

      filename = cv::format("%s/mapped_color.png", frame_dir.c_str());
      imwrite(filename, image.mappedRgb());

      filename = cv::format("%s/depth.yml", frame_dir.c_str());
      imwrite_yml(filename, image.mappedDepth());
    }

    if (!m_only_raw)
    {
      filename = cv::format("%s/raw/depth.png", frame_dir.c_str());
      if (image.rawDepth().data)
        imwrite_normalized(filename.c_str(), image.rawDepth());

      filename = cv::format("%s/depth.png", frame_dir.c_str());
      if (image.depth().data)
        imwrite_normalized(filename.c_str(), image.depth());

      filename = cv::format("%s/intensity.png", frame_dir.c_str());
      if (image.intensity().data)
        imwrite_normalized(filename.c_str(), image.intensity());
    }

    if (image.rawDepth().data)
    {
      if (m_use_binary_raw)
      {
        filename = cv::format("%s/raw/depth.raw", frame_dir.c_str());
        imwrite_Mat1f_raw(filename.c_str(), image.rawDepth());
      }
      else
      {
        filename = cv::format("%s/raw/depth.yml", frame_dir.c_str());
        imwrite_yml(filename.c_str(), image.rawDepth());
      }
    }

    if (image.rawIntensity().data)
    {
      if (m_use_binary_raw)
      {
        filename = cv::format("%s/raw/intensity.raw", frame_dir.c_str());
        imwrite_Mat1f_raw(filename.c_str(), image.rawIntensity());
      }
      else
      {
        filename = cv::format("%s/raw/intensity.yml", frame_dir.c_str());
        imwrite_yml(filename.c_str(), image.rawIntensity());
      }
    }

    if (!m_only_raw)
    {
      filename = cv::format("%s/raw/amplitude.png", frame_dir.c_str());
      if (image.rawAmplitude().data)
        imwrite_normalized(filename.c_str(), image.rawAmplitude());

      filename = cv::format("%s/amplitude.png", frame_dir.c_str());
      if (image.amplitude().data)
        imwrite_normalized(filename.c_str(), image.amplitude());
    }

    if (image.rawAmplitude().data)
    {
      if (m_use_binary_raw)
      {
        filename = cv::format("%s/raw/amplitude.raw", frame_dir.c_str());
        imwrite_Mat1f_raw(filename.c_str(), image.rawAmplitude());
      }
      else
      {
        filename = cv::format("%s/raw/amplitude.yml", frame_dir.c_str());
        imwrite_yml(filename.c_str(), image.rawAmplitude());
      }
    }

    ++m_frame_index;
  }
Пример #4
0
  void RGBDFrameRecorder :: writeFrame(const RGBDImage& image, const std::string& frame_dir)
  {
      std::string raw_frame_dir = format("%s/raw", frame_dir.c_str(), m_frame_index);

      QDir dir (frame_dir.c_str());
      dir.mkpath("raw");

      std::string filename;

      if (m_save_rgb_pose && image.calibration())
      {
        filename = cv::format("%s/rgb_pose.avs", frame_dir.c_str());
        image.rgbPose().saveToAvsFile(filename.c_str());
      }

      if (!m_only_raw)
      {
        filename = cv::format("%s/color.png", frame_dir.c_str());
        imwrite(filename, image.rgb());
      }

      if (m_save_pcl_point_cloud)
      {
        filename = cv::format("%s/cloud.pcd", frame_dir.c_str());
#ifdef NESTK_USE_PCL
        pcl::PointCloud<pcl::PointXYZ> cloud;
        rgbdImageToPointCloud(cloud, image);
        pcl::io::savePCDFileASCII(filename.c_str(), cloud);
#endif
      }

      if (m_use_compressed_format)
          filename = cv::format("%s/raw/color.png", frame_dir.c_str());
      else
          filename = cv::format("%s/raw/color.bmp", frame_dir.c_str());
      imwrite(filename, image.rawRgb());

      if (!m_only_raw && image.mappedDepth().data)
      {
        filename = cv::format("%s/mapped_depth.png", frame_dir.c_str());
        imwrite_normalized(filename, image.mappedDepth());

        filename = cv::format("%s/mapped_color.png", frame_dir.c_str());
        imwrite(filename, image.mappedRgb());

        filename = cv::format("%s/depth.yml", frame_dir.c_str());
        imwrite_yml(filename, image.mappedDepth());
      }

      if (!m_only_raw)
      {
        filename = cv::format("%s/raw/depth.png", frame_dir.c_str());
        if (image.rawDepth().data)
          imwrite_normalized(filename.c_str(), image.rawDepth());

        filename = cv::format("%s/depth.png", frame_dir.c_str());
        if (image.depth().data)
          imwrite_normalized(filename.c_str(), image.depth());

        filename = cv::format("%s/intensity.png", frame_dir.c_str());
        if (image.intensity().data)
            imwrite_normalized(filename.c_str(), image.intensity());
      }

      if (image.rawDepth().data)
      {
        if (m_use_binary_raw)
        {
          filename = cv::format("%s/raw/depth.raw", frame_dir.c_str());
          imwrite_Mat1f_raw(filename.c_str(), image.rawDepth());
        }
        else
        {
          filename = cv::format("%s/raw/depth.yml", frame_dir.c_str());
          imwrite_yml(filename.c_str(), image.rawDepth());
        }
      }

      if (m_save_intensity && image.rawIntensity().data)
      {
        if (m_use_binary_raw)
        {
          filename = cv::format("%s/raw/intensity.raw", frame_dir.c_str());
          imwrite_Mat1f_raw(filename.c_str(), image.rawIntensity());
        }
        else
        {
          filename = cv::format("%s/raw/intensity.yml", frame_dir.c_str());
          imwrite_yml(filename.c_str(), image.rawIntensity());
        }
      }

      if (!m_only_raw)
      {
        filename = cv::format("%s/raw/amplitude.png", frame_dir.c_str());
        if (image.rawAmplitude().data)
          imwrite_normalized(filename.c_str(), image.rawAmplitude());

        filename = cv::format("%s/amplitude.png", frame_dir.c_str());
        if (image.amplitude().data)
          imwrite_normalized(filename.c_str(), image.amplitude());
      }

      if (image.rawAmplitude().data)
      {
        if (m_use_binary_raw)
        {
          filename = cv::format("%s/raw/amplitude.raw", frame_dir.c_str());
          imwrite_Mat1f_raw(filename.c_str(), image.rawAmplitude());
        }
        else
        {
          filename = cv::format("%s/raw/amplitude.yml", frame_dir.c_str());
          imwrite_yml(filename.c_str(), image.rawAmplitude());
        }
      }
  }
Пример #5
0
int main(int argc, char **argv)
{
    // Parse command line options.
    arg_base::set_help_option("-h");
    arg_parse(argc, argv);

    // Set debug level to 1.
    ntk::ntk_debug_level = 1;

    // Set current directory to application directory.
    // This is to find Nite config in config/ directory.
    QApplication app (argc, argv);
    QDir::setCurrent(QApplication::applicationDirPath());

    // Declare the global OpenNI driver. Only one can be instantiated in a program.
    OpenniDriver ni_driver;

    // Declare the frame grabber.
    OpenniGrabber grabber(ni_driver, opt::kinect_id());

    // High resolution 1280x1024 RGB Image.
    if (opt::high_resolution())
        grabber.setHighRgbResolution(true);

    // Use mirrored images.
    grabber.setMirrored(true);

    // Start the grabber.
    grabber.connectToDevice();
    grabber.start();

    // Holder for the current image.
    RGBDImage image;

    // Image post processor. Compute mappings when RGB resolution is 1280x1024.
    OpenniRGBDProcessor post_processor;

    namedWindow("depth");
    namedWindow("color");
    namedWindow("users");

    char last_c = 0;
    while (true && (last_c != 27))
    {
        // Wait for a new frame, get a local copy and postprocess it.
        grabber.waitForNextFrame();
        grabber.copyImageTo(image);
        post_processor.processImage(image);

        // Prepare the depth view, with skeleton and handpoint.
        cv::Mat1b debug_depth_img = normalize_toMat1b(image.depth());
        if (image.skeleton())
            image.skeleton()->drawOnImage(debug_depth_img);

        // Prepare the color view (mapped to depth frame), with skeleton and handpoint.
        cv::Mat3b debug_color_img;
        image.mappedRgb().copyTo(debug_color_img);
        if (image.skeleton())
            image.skeleton()->drawOnImage(debug_color_img);

        // Prepare the user mask view as colors.
        cv::Mat3b debug_users;
        image.fillRgbFromUserLabels(debug_users);

        imshow("depth", debug_depth_img);
        imshow("color", debug_color_img);
        imshow("users", debug_users);
        last_c = (cv::waitKey(10) & 0xff);
    }
}