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generalize is_selected
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@ -100,4 +100,20 @@ struct is_cluster<Cluster<T, X, Y, CoordType>> : std::true_type {}; // Cluster
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template <typename T> constexpr bool is_cluster_v = is_cluster<T>::value;
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template <typename ClusterType,
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typename = std::enable_if_t<is_cluster_v<ClusterType>>>
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struct extract_template_arguments; // Forward declaration
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// helper struct to extract template argument
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template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
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typename CoordType>
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struct extract_template_arguments<
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Cluster<T, ClusterSizeX, ClusterSizeY, CoordType>> {
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using type = T;
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static constexpr int cluster_size_x = ClusterSizeX;
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static constexpr int cluster_size_y = ClusterSizeY;
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using coordtype = CoordType;
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};
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} // namespace aare
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@ -429,16 +429,24 @@ bool ClusterFile<ClusterType, Enable>::is_selected(ClusterType &cl) {
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return false;
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}
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}
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// TODO types are wrong generalize
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auto cluster_size_x = extract_template_arguments<
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std::remove_reference_t<decltype(cl)>>::cluster_size_x;
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auto cluster_size_y = extract_template_arguments<
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std::remove_reference_t<decltype(cl)>>::cluster_size_y;
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size_t cluster_center_index =
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(cluster_size_x / 2) + (cluster_size_y / 2) * cluster_size_x;
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if (m_noise_map) {
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int32_t sum_1x1 = cl.data[4]; // central pixel
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int32_t sum_2x2 =
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cl.max_sum_2x2().first; // highest sum of 2x2 subclusters
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int32_t sum_3x3 = cl.sum(); // sum of all pixels
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auto sum_1x1 = cl.data[cluster_center_index]; // central pixel
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auto sum_2x2 = cl.max_sum_2x2().first; // highest sum of 2x2 subclusters
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auto total_sum = cl.sum(); // sum of all pixels
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auto noise =
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(*m_noise_map)(cl.y, cl.x); // TODO! check if this is correct
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if (sum_1x1 <= noise || sum_2x2 <= 2 * noise || sum_3x3 <= 3 * noise) {
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if (sum_1x1 <= noise || sum_2x2 <= 2 * noise ||
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total_sum <= 3 * noise) {
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return false;
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}
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}
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@ -187,8 +187,8 @@ TEST_CASE("Concatenate two cluster vectors where we need to allocate",
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}
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struct ClusterTestData {
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int8_t ClusterSizeX;
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int8_t ClusterSizeY;
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uint8_t ClusterSizeX;
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uint8_t ClusterSizeY;
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std::vector<int64_t> index_map_x;
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std::vector<int64_t> index_map_y;
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};
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@ -213,8 +213,8 @@ TEST_CASE("Gain Map Calculation Index Map", "[.ClusterVector][.gain_map]") {
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{-2, -2, -2, -2, -2, -1, -1, -1, -1, -1, 0, 0, 0,
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0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2}});
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int8_t ClusterSizeX = clustertestdata.ClusterSizeX;
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int8_t ClusterSizeY = clustertestdata.ClusterSizeY;
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uint8_t ClusterSizeX = clustertestdata.ClusterSizeX;
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uint8_t ClusterSizeY = clustertestdata.ClusterSizeY;
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std::vector<int64_t> index_map_x(ClusterSizeX * ClusterSizeY);
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std::vector<int64_t> index_map_y(ClusterSizeX * ClusterSizeY);
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