mirror of
https://github.com/slsdetectorgroup/aare.git
synced 2025-12-16 01:51:30 +01:00
Added ability to save a cluster larger than we search for
This commit is contained in:
@@ -19,9 +19,11 @@ class ClusterFinder {
|
||||
const PEDESTAL_TYPE c3;
|
||||
Pedestal<PEDESTAL_TYPE> m_pedestal;
|
||||
ClusterVector<ClusterType> m_clusters;
|
||||
const uint32_t ClusterSizeX;
|
||||
const uint32_t ClusterSizeY;
|
||||
|
||||
static const uint8_t ClusterSizeX = ClusterType::cluster_size_x;
|
||||
static const uint8_t ClusterSizeY = ClusterType::cluster_size_y;
|
||||
static const uint8_t SavedClusterSizeX = ClusterType::cluster_size_x;
|
||||
static const uint8_t SavedClusterSizeY = ClusterType::cluster_size_y;
|
||||
using CT = typename ClusterType::value_type;
|
||||
|
||||
public:
|
||||
@@ -34,10 +36,12 @@ class ClusterFinder {
|
||||
*
|
||||
*/
|
||||
ClusterFinder(Shape<2> image_size, PEDESTAL_TYPE nSigma = 5.0,
|
||||
size_t capacity = 1000000)
|
||||
size_t capacity = 1000000,
|
||||
uint32_t cluster_size_x = 3, uint32_t cluster_size_y = 3)
|
||||
: m_image_size(image_size), m_nSigma(nSigma),
|
||||
c2(sqrt((ClusterSizeY + 1) / 2 * (ClusterSizeX + 1) / 2)),
|
||||
c3(sqrt(ClusterSizeX * ClusterSizeY)),
|
||||
c2(sqrt((cluster_size_y + 1) / 2 * (cluster_size_x + 1) / 2)),
|
||||
c3(sqrt(cluster_size_x * cluster_size_y)),
|
||||
ClusterSizeX(cluster_size_x), ClusterSizeY(cluster_size_y),
|
||||
m_pedestal(image_size[0], image_size[1]), m_clusters(capacity) {
|
||||
LOG(logDEBUG) << "ClusterFinder: "
|
||||
<< "image_size: " << image_size[0] << "x" << image_size[1]
|
||||
@@ -74,6 +78,9 @@ class ClusterFinder {
|
||||
// // 4,4 -> +/- 2
|
||||
int dy = ClusterSizeY / 2;
|
||||
int dx = ClusterSizeX / 2;
|
||||
int dy2 = SavedClusterSizeY / 2;
|
||||
int dx2 = SavedClusterSizeX / 2;
|
||||
|
||||
int has_center_pixel_x =
|
||||
ClusterSizeX %
|
||||
2; // for even sized clusters there is no proper cluster center and
|
||||
@@ -135,18 +142,16 @@ class ClusterFinder {
|
||||
// It's worth redoing the look since most of the time we
|
||||
// don't have a photon
|
||||
int i = 0;
|
||||
for (int ir = -dy; ir < dy + has_center_pixel_y; ir++) {
|
||||
for (int ic = -dx; ic < dx + has_center_pixel_y; ic++) {
|
||||
for (int ir = -dy2; ir < dy2 + has_center_pixel_y; ir++) {
|
||||
for (int ic = -dx2; ic < dx2 + has_center_pixel_y; ic++) {
|
||||
if (ix + ic >= 0 && ix + ic < frame.shape(1) &&
|
||||
iy + ir >= 0 && iy + ir < frame.shape(0)) {
|
||||
CT tmp =
|
||||
static_cast<CT>(frame(iy + ir, ix + ic)) -
|
||||
static_cast<CT>(
|
||||
m_pedestal.mean(iy + ir, ix + ic));
|
||||
cluster.data[i] =
|
||||
tmp; // Watch for out of bounds access
|
||||
i++;
|
||||
|
||||
CT tmp = static_cast<CT>(frame(iy + ir, ix + ic)) - static_cast<CT>(m_pedestal.mean(iy + ir, ix + ic));
|
||||
cluster.data[i] = tmp; // Watch for out of bounds access
|
||||
|
||||
}
|
||||
i++;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -121,7 +121,8 @@ class ClusterFinderMT {
|
||||
* @param n_threads number of threads to use
|
||||
*/
|
||||
ClusterFinderMT(Shape<2> image_size, PEDESTAL_TYPE nSigma = 5.0,
|
||||
size_t capacity = 2000, size_t n_threads = 3)
|
||||
size_t capacity = 2000, size_t n_threads = 3,
|
||||
uint32_t cluster_size_x = 3, uint32_t cluster_size_y = 3)
|
||||
: m_n_threads(n_threads) {
|
||||
|
||||
LOG(logDEBUG1) << "ClusterFinderMT: "
|
||||
@@ -134,7 +135,7 @@ class ClusterFinderMT {
|
||||
m_cluster_finders.push_back(
|
||||
std::make_unique<
|
||||
ClusterFinder<ClusterType, FRAME_TYPE, PEDESTAL_TYPE>>(
|
||||
image_size, nSigma, capacity));
|
||||
image_size, nSigma, capacity, cluster_size_x, cluster_size_y));
|
||||
}
|
||||
for (size_t i = 0; i < n_threads; i++) {
|
||||
m_input_queues.emplace_back(std::make_unique<InputQueue>(200));
|
||||
|
||||
@@ -26,24 +26,24 @@ def _get_class(name, cluster_size, dtype):
|
||||
|
||||
|
||||
|
||||
def ClusterFinder(image_size, cluster_size, n_sigma=5, dtype = np.int32, capacity = 1024):
|
||||
def ClusterFinder(image_size, saved_cluster_size, checked_cluster_size, n_sigma=5, dtype = np.int32, capacity = 1024):
|
||||
"""
|
||||
Factory function to create a ClusterFinder object. Provides a cleaner syntax for
|
||||
the templated ClusterFinder in C++.
|
||||
"""
|
||||
cls = _get_class("ClusterFinder", cluster_size, dtype)
|
||||
return cls(image_size, n_sigma=n_sigma, capacity=capacity)
|
||||
cls = _get_class("ClusterFinder", saved_cluster_size, dtype)
|
||||
return cls(image_size, n_sigma=n_sigma, capacity=capacity, cluster_size_x=checked_cluster_size[0], cluster_size_y=checked_cluster_size[1])
|
||||
|
||||
|
||||
|
||||
def ClusterFinderMT(image_size, cluster_size = (3,3), dtype=np.int32, n_sigma=5, capacity = 1024, n_threads = 3):
|
||||
def ClusterFinderMT(image_size, saved_cluster_size = (3,3), checked_cluster_size = (3,3), dtype=np.int32, n_sigma=5, capacity = 1024, n_threads = 3):
|
||||
"""
|
||||
Factory function to create a ClusterFinderMT object. Provides a cleaner syntax for
|
||||
the templated ClusterFinderMT in C++.
|
||||
"""
|
||||
|
||||
cls = _get_class("ClusterFinderMT", cluster_size, dtype)
|
||||
return cls(image_size, n_sigma=n_sigma, capacity=capacity, n_threads=n_threads)
|
||||
cls = _get_class("ClusterFinderMT", saved_cluster_size, dtype)
|
||||
return cls(image_size, n_sigma=n_sigma, capacity=capacity, n_threads=n_threads, cluster_size_x=checked_cluster_size[0], cluster_size_y=checked_cluster_size[1])
|
||||
|
||||
|
||||
|
||||
|
||||
@@ -30,8 +30,9 @@ void define_ClusterFinder(py::module &m, const std::string &typestr) {
|
||||
|
||||
py::class_<ClusterFinder<ClusterType, uint16_t, pd_type>>(
|
||||
m, class_name.c_str())
|
||||
.def(py::init<Shape<2>, pd_type, size_t>(), py::arg("image_size"),
|
||||
py::arg("n_sigma") = 5.0, py::arg("capacity") = 1'000'000)
|
||||
.def(py::init<Shape<2>, pd_type, size_t, uint32_t, uint32_t>(), py::arg("image_size"),
|
||||
py::arg("n_sigma") = 5.0, py::arg("capacity") = 1'000'000,
|
||||
py::arg("cluster_size_x") = 3, py::arg("cluster_size_y") = 3)
|
||||
.def("push_pedestal_frame",
|
||||
[](ClusterFinder<ClusterType, uint16_t, pd_type> &self,
|
||||
py::array_t<uint16_t> frame) {
|
||||
|
||||
@@ -30,9 +30,10 @@ void define_ClusterFinderMT(py::module &m, const std::string &typestr) {
|
||||
|
||||
py::class_<ClusterFinderMT<ClusterType, uint16_t, pd_type>>(
|
||||
m, class_name.c_str())
|
||||
.def(py::init<Shape<2>, pd_type, size_t, size_t>(),
|
||||
.def(py::init<Shape<2>, pd_type, size_t, size_t, uint32_t, uint32_t>(),
|
||||
py::arg("image_size"), py::arg("n_sigma") = 5.0,
|
||||
py::arg("capacity") = 2048, py::arg("n_threads") = 3)
|
||||
py::arg("capacity") = 2048, py::arg("n_threads") = 3,
|
||||
py::arg("cluster_size_x") = 3, py::arg("cluster_size_y") = 3)
|
||||
.def("push_pedestal_frame",
|
||||
[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
|
||||
py::array_t<uint16_t> frame) {
|
||||
|
||||
@@ -84,4 +84,9 @@ PYBIND11_MODULE(_aare, m) {
|
||||
DEFINE_CLUSTER_BINDINGS(int, 9, 9, uint16_t, i);
|
||||
DEFINE_CLUSTER_BINDINGS(double, 9, 9, uint16_t, d);
|
||||
DEFINE_CLUSTER_BINDINGS(float, 9, 9, uint16_t, f);
|
||||
|
||||
DEFINE_CLUSTER_BINDINGS(int, 21, 21, uint16_t, i);
|
||||
DEFINE_CLUSTER_BINDINGS(double, 21, 21, uint16_t, d);
|
||||
DEFINE_CLUSTER_BINDINGS(float, 21, 21, uint16_t, f);
|
||||
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user