detectors/aare
25
0
Fork 0
mirror of https://github.com/slsdetectorgroup/aare.git synced 2025-04-20 05:40:03 +02:00
Code Issues Actions Packages Releases Activity

generalize is_selected

Browse Source
This commit is contained in:
Mazzoleni Alice Francesca 2025-04-03 09:28:54 +02:00
parent 85a6b5b95e
commit de9fc16e89
3 changed files with 34 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
include/aare/Cluster.hpp
View File

@ -100,4 +100,20 @@ struct is_cluster<Cluster<T, X, Y, CoordType>> : std::true_type {}; // Cluster
template <typename T> constexpr bool is_cluster_v = is_cluster<T>::value; template <typename T> constexpr bool is_cluster_v = is_cluster<T>::value;
template <typename ClusterType,
typename = std::enable_if_t<is_cluster_v<ClusterType>>>
struct extract_template_arguments; // Forward declaration
// helper struct to extract template argument
template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType>
struct extract_template_arguments<
Cluster<T, ClusterSizeX, ClusterSizeY, CoordType>> {
using type = T;
static constexpr int cluster_size_x = ClusterSizeX;
static constexpr int cluster_size_y = ClusterSizeY;
using coordtype = CoordType;
};
} // namespace aare } // namespace aare

20
include/aare/ClusterFile.hpp
View File

@ -429,16 +429,24 @@ bool ClusterFile<ClusterType, Enable>::is_selected(ClusterType &cl) {
return false; return false;
} }
} }
// TODO types are wrong generalize
auto cluster_size_x = extract_template_arguments<
std::remove_reference_t<decltype(cl)>>::cluster_size_x;
auto cluster_size_y = extract_template_arguments<
std::remove_reference_t<decltype(cl)>>::cluster_size_y;
size_t cluster_center_index =
(cluster_size_x / 2) + (cluster_size_y / 2) * cluster_size_x;
if (m_noise_map) { if (m_noise_map) {
int32_t sum_1x1 = cl.data[4]; // central pixel auto sum_1x1 = cl.data[cluster_center_index]; // central pixel
int32_t sum_2x2 = auto sum_2x2 = cl.max_sum_2x2().first; // highest sum of 2x2 subclusters
cl.max_sum_2x2().first; // highest sum of 2x2 subclusters auto total_sum = cl.sum(); // sum of all pixels
int32_t sum_3x3 = cl.sum(); // sum of all pixels
auto noise = auto noise =
(*m_noise_map)(cl.y, cl.x); // TODO! check if this is correct (*m_noise_map)(cl.y, cl.x); // TODO! check if this is correct
if (sum_1x1 <= noise || sum_2x2 <= 2 * noise || sum_3x3 <= 3 * noise) { if (sum_1x1 <= noise || sum_2x2 <= 2 * noise ||
total_sum <= 3 * noise) {
return false; return false;
} }
} }

8
src/ClusterVector.test.cpp
View File

@ -187,8 +187,8 @@ TEST_CASE("Concatenate two cluster vectors where we need to allocate",
} }
struct ClusterTestData { struct ClusterTestData {
int8_t ClusterSizeX; uint8_t ClusterSizeX;
int8_t ClusterSizeY; uint8_t ClusterSizeY;
std::vector<int64_t> index_map_x; std::vector<int64_t> index_map_x;
std::vector<int64_t> index_map_y; std::vector<int64_t> index_map_y;
}; };
@ -213,8 +213,8 @@ TEST_CASE("Gain Map Calculation Index Map", "[.ClusterVector][.gain_map]") {
{-2, -2, -2, -2, -2, -1, -1, -1, -1, -1, 0, 0, 0, {-2, -2, -2, -2, -2, -1, -1, -1, -1, -1, 0, 0, 0,
0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2}}); 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2}});
int8_t ClusterSizeX = clustertestdata.ClusterSizeX; uint8_t ClusterSizeX = clustertestdata.ClusterSizeX;
int8_t ClusterSizeY = clustertestdata.ClusterSizeY; uint8_t ClusterSizeY = clustertestdata.ClusterSizeY;
std::vector<int64_t> index_map_x(ClusterSizeX * ClusterSizeY); std::vector<int64_t> index_map_x(ClusterSizeX * ClusterSizeY);
std::vector<int64_t> index_map_y(ClusterSizeX * ClusterSizeY); std::vector<int64_t> index_map_y(ClusterSizeX * ClusterSizeY);