Пример #1
0
 bool Downsampler::operator() (const Streamline<>& in, Streamline<>& out) const
 {
   out.clear();
   out.index = in.index;
   out.weight = in.weight;
   if (ratio <= 1 || in.empty())
     return false;
   if (in.size() == 1)
     return true;
   out.push_back (in.front());
   const size_t midpoint = in.size()/2;
   size_t index = (((midpoint - 1) % ratio) + 1);
   while (index < in.size() - 1) {
     out.push_back (in[index]);
     index += ratio;
   }
   out.push_back (in.back());
   return true;
 }
Пример #2
0
        bool Worker::operator() (Streamline<>& in, Streamline<>& out) const
        {

          out.clear();
          out.index = in.index;
          out.weight = in.weight;

          if (!thresholds (in)) {
            // Want to test thresholds before wasting time on resampling
            if (inverse)
              in.swap (out);
            return true;
          }

          // Assign to ROIs
          if (properties.include.size() || properties.exclude.size()) {

            include_visited.assign (properties.include.size(), false);

            if (ends_only) {
              for (size_t i = 0; i != 2; ++i) {
                const Eigen::Vector3f& p (i ? in.back() : in.front());
                properties.include.contains (p, include_visited);
                if (properties.exclude.contains (p)) {
                  if (inverse)
                    in.swap (out);
                  return true;
                }
              }
            } else {
              for (const auto& p : in) {
                properties.include.contains (p, include_visited);
                if (properties.exclude.contains (p)) {
                  if (inverse)
                    in.swap (out);
                  return true;
                }
              }
            }

            // Make sure all of the include regions were visited
            for (const auto& i : include_visited) {
              if (!i) {
                if (inverse)
                  in.swap (out);
                return true;
              }
            }

          }

          if (properties.mask.size()) {

            // Split tck into separate tracks based on the mask
            vector<vector<Eigen::Vector3f>> cropped_tracks;
            vector<Eigen::Vector3f> temp;

            for (const auto& p : in) {
              const bool contains = properties.mask.contains (p);
              if (contains == inverse) {
                if (temp.size() >= 2)
                  cropped_tracks.push_back (temp);
                temp.clear();
              } else {
                temp.push_back (p);
              }
            }
            if (temp.size() >= 2)
              cropped_tracks.push_back (temp);

            if (cropped_tracks.empty())
              return true;

            if (cropped_tracks.size() == 1) {
              cropped_tracks[0].swap (out);
              return true;
            }

            // Stitch back together in preparation for sending down queue as a single track
            out.push_back ({ NaN, NaN, NaN });
            for (const auto& i : cropped_tracks) {
              for (const auto& p : i)
                out.push_back (p);
              out.push_back ({ NaN, NaN, NaN });
            }
            return true;

          } else {

            if (!inverse)
              in.swap (out);
            return true;

          }

        }