cut also for frames
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This commit is contained in:
froejdh_e
2025-03-26 11:12:50 +01:00
parent 954809bc58
commit 1cdd3b1697
5 changed files with 164 additions and 278 deletions

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@ -396,6 +396,7 @@ if(AARE_TESTS)
${CMAKE_CURRENT_SOURCE_DIR}/src/NDView.test.cpp
${CMAKE_CURRENT_SOURCE_DIR}/src/ClusterFinder.test.cpp
${CMAKE_CURRENT_SOURCE_DIR}/src/ClusterVector.test.cpp
${CMAKE_CURRENT_SOURCE_DIR}/src/ClusterFile.test.cpp
${CMAKE_CURRENT_SOURCE_DIR}/src/Pedestal.test.cpp
${CMAKE_CURRENT_SOURCE_DIR}/src/NumpyFile.test.cpp
${CMAKE_CURRENT_SOURCE_DIR}/src/NumpyHelpers.test.cpp

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@ -10,7 +10,7 @@
namespace aare {
//TODO! Legacy enums, migrate to enum class
typedef enum {
cBottomLeft = 0,
cBottomRight = 1,
@ -44,15 +44,7 @@ struct ClusterAnalysis {
double etay;
};
/*
Binary cluster file. Expects data to be layed out as:
int32_t frame_number
uint32_t number_of_clusters
int16_t x, int16_t y, int32_t data[9] x number_of_clusters
int32_t frame_number
uint32_t number_of_clusters
....
*/
/**
* @brief Class to read and write cluster files
@ -61,19 +53,19 @@ uint32_t number_of_clusters
*
* int32_t frame_number
* uint32_t number_of_clusters
* int16_t x, int16_t y, int32_t data[9] x number_of_clusters
* int16_t x, int16_t y, int32_t data[9] * number_of_clusters
* int32_t frame_number
* uint32_t number_of_clusters
* etc.
*/
class ClusterFile {
FILE *fp{};
uint32_t m_num_left{};
size_t m_chunk_size{};
const std::string m_mode;
std::optional<ROI> m_roi;
std::optional<NDArray<int32_t, 2>> m_noise_map;
std::optional<NDArray<double, 2>> m_gain_map;
uint32_t m_num_left{}; /*Number of photons left in frame*/
size_t m_chunk_size{}; /*Number of clusters to read at a time*/
const std::string m_mode; /*Mode to open the file in*/
std::optional<ROI> m_roi; /*Region of interest, will be applied if set*/
std::optional<NDArray<int32_t, 2>> m_noise_map; /*Noise map to cut photons, will be applied if set*/
std::optional<NDArray<double, 2>> m_gain_map; /*Gain map to apply to the clusters, will be applied if set*/
public:
/**
@ -98,10 +90,6 @@ class ClusterFile {
*/
ClusterVector<int32_t> read_clusters(size_t n_clusters);
/**
* @brief Read a single frame from the file and return the clusters. The
* cluster vector will have the frame number set.
@ -113,19 +101,28 @@ class ClusterFile {
void write_frame(const ClusterVector<int32_t> &clusters);
// Need to be migrated to support NDArray and return a ClusterVector
// std::vector<Cluster3x3>
// read_cluster_with_cut(size_t n_clusters, double *noise_map, int nx, int ny);
/**
* @brief Return the chunk size
*/
size_t chunk_size() const { return m_chunk_size; }
/**
* @brief Set the region of interest to use when reading clusters. If set only clusters within
* the ROI will be read.
*/
void set_roi(ROI roi);
/**
* @brief Set the noise map to use when reading clusters. If set clusters below the noise
* level will be discarded. Selection criteria one of: Central pixel above noise, highest
* 2x2 sum above 2 * noise, total sum above 3 * noise.
*/
void set_noise_map(const NDView<int32_t, 2> noise_map);
/**
* @brief Set the gain map to use when reading clusters. If set the gain map will be applied
* to the clusters that pass ROI and noise_map selection.
*/
void set_gain_map(const NDView<double, 2> gain_map);
@ -137,15 +134,13 @@ class ClusterFile {
private:
ClusterVector<int32_t> read_clusters_with_cut(size_t n_clusters);
ClusterVector<int32_t> read_clusters_without_cut(size_t n_clusters);
ClusterVector<int32_t> read_frame_with_cut();
ClusterVector<int32_t> read_frame_without_cut();
bool is_selected(Cluster3x3 &cl);
Cluster3x3 read_one_cluster();
};
int analyze_data(int32_t *data, int32_t *t2, int32_t *t3, char *quad,
double *eta2x, double *eta2y, double *eta3x, double *eta3y);
int analyze_cluster(Cluster3x3 &cl, int32_t *t2, int32_t *t3, char *quad,
double *eta2x, double *eta2y, double *eta3x, double *eta3y);
//TODO! helper functions that doesn't really belong here
NDArray<double, 2> calculate_eta2(ClusterVector<int> &clusters);
Eta2 calculate_eta2(Cluster3x3 &cl);
Eta2 calculate_eta2(Cluster2x2 &cl);

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@ -60,11 +60,22 @@ void ClusterFile::write_frame(const ClusterVector<int32_t> &clusters) {
!(clusters.cluster_size_y() == 3)) {
throw std::runtime_error("Only 3x3 clusters are supported");
}
//First write the frame number - 4 bytes
int32_t frame_number = clusters.frame_number();
fwrite(&frame_number, sizeof(frame_number), 1, fp);
if(fwrite(&frame_number, sizeof(frame_number), 1, fp)!=1){
throw std::runtime_error(LOCATION + "Could not write frame number");
}
//Then write the number of clusters - 4 bytes
uint32_t n_clusters = clusters.size();
fwrite(&n_clusters, sizeof(n_clusters), 1, fp);
fwrite(clusters.data(), clusters.item_size(), clusters.size(), fp);
if(fwrite(&n_clusters, sizeof(n_clusters), 1, fp)!=1){
throw std::runtime_error(LOCATION + "Could not write number of clusters");
}
//Now write the clusters in the frame
if(fwrite(clusters.data(), clusters.item_size(), clusters.size(), fp)!=clusters.size()){
throw std::runtime_error(LOCATION + "Could not write clusters");
}
}
@ -110,6 +121,7 @@ ClusterVector<int32_t> ClusterFile::read_clusters_without_cut(size_t n_clusters)
if (nph_read < n_clusters) {
// keep on reading frames and photons until reaching n_clusters
while (fread(&iframe, sizeof(iframe), 1, fp)) {
clusters.set_frame_number(iframe);
// read number of clusters in frame
if (fread(&nph, sizeof(nph), 1, fp)) {
if (nph > (n_clusters - nph_read))
@ -192,7 +204,49 @@ Cluster3x3 ClusterFile::read_one_cluster(){
return c;
}
ClusterVector<int32_t> ClusterFile::read_frame() {
ClusterVector<int32_t> ClusterFile::read_frame(){
if (m_mode != "r") {
throw std::runtime_error(LOCATION + "File not opened for reading");
}
if (m_noise_map || m_roi){
return read_frame_with_cut();
}else{
return read_frame_without_cut();
}
}
ClusterVector<int32_t> ClusterFile::read_frame_without_cut() {
if (m_mode != "r") {
throw std::runtime_error("File not opened for reading");
}
if (m_num_left) {
throw std::runtime_error(
"There are still photons left in the last frame");
}
int32_t frame_number;
if (fread(&frame_number, sizeof(frame_number), 1, fp) != 1) {
throw std::runtime_error(LOCATION + "Could not read frame number");
}
int32_t n_clusters; // Saved as 32bit integer in the cluster file
if (fread(&n_clusters, sizeof(n_clusters), 1, fp) != 1) {
throw std::runtime_error(LOCATION + "Could not read number of clusters");
}
ClusterVector<int32_t> clusters(3, 3, n_clusters);
clusters.set_frame_number(frame_number);
if (fread(clusters.data(), clusters.item_size(), n_clusters, fp) !=
static_cast<size_t>(n_clusters)) {
throw std::runtime_error(LOCATION + "Could not read clusters");
}
clusters.resize(n_clusters);
if (m_gain_map)
clusters.apply_gain_map(m_gain_map->view());
return clusters;
}
ClusterVector<int32_t> ClusterFile::read_frame_with_cut() {
if (m_mode != "r") {
throw std::runtime_error("File not opened for reading");
}
@ -205,22 +259,27 @@ ClusterVector<int32_t> ClusterFile::read_frame() {
throw std::runtime_error("Could not read frame number");
}
int32_t n_clusters; // Saved as 32bit integer in the cluster file
if (fread(&n_clusters, sizeof(n_clusters), 1, fp) != 1) {
if (fread(&m_num_left, sizeof(m_num_left), 1, fp) != 1) {
throw std::runtime_error("Could not read number of clusters");
}
// std::vector<Cluster3x3> clusters(n_clusters);
ClusterVector<int32_t> clusters(3, 3, n_clusters);
ClusterVector<int32_t> clusters(3, 3);
clusters.reserve(m_num_left);
clusters.set_frame_number(frame_number);
if (fread(clusters.data(), clusters.item_size(), n_clusters, fp) !=
static_cast<size_t>(n_clusters)) {
throw std::runtime_error("Could not read clusters");
while(m_num_left){
Cluster3x3 c = read_one_cluster();
if(is_selected(c)){
clusters.push_back(c.x, c.y, reinterpret_cast<std::byte*>(c.data));
}
}
clusters.resize(n_clusters);
if (m_gain_map)
clusters.apply_gain_map(m_gain_map->view());
return clusters;
}
bool ClusterFile::is_selected(Cluster3x3 &cl) {
//Should fail fast
if (m_roi) {
@ -242,133 +301,6 @@ bool ClusterFile::is_selected(Cluster3x3 &cl) {
return true;
}
// std::vector<Cluster3x3> ClusterFile::read_cluster_with_cut(size_t n_clusters,
// double *noise_map,
// int nx, int ny) {
// if (m_mode != "r") {
// throw std::runtime_error("File not opened for reading");
// }
// std::vector<Cluster3x3> clusters(n_clusters);
// // size_t read_clusters_with_cut(FILE *fp, size_t n_clusters, Cluster *buf,
// // uint32_t *n_left, double *noise_map, int
// // nx, int ny) {
// int iframe = 0;
// // uint32_t nph = *n_left;
// uint32_t nph = m_num_left;
// // uint32_t nn = *n_left;
// uint32_t nn = m_num_left;
// size_t nph_read = 0;
// int32_t t2max, tot1;
// int32_t tot3;
// // Cluster *ptr = buf;
// Cluster3x3 *ptr = clusters.data();
// int good = 1;
// double noise;
// // read photons left from previous frame
// if (noise_map)
// printf("Using noise map\n");
// if (nph) {
// if (nph > n_clusters) {
// // if we have more photons left in the frame then photons to
// // read we read directly the requested number
// nn = n_clusters;
// } else {
// nn = nph;
// }
// for (size_t iph = 0; iph < nn; iph++) {
// // read photons 1 by 1
// size_t n_read =
// fread(reinterpret_cast<void *>(ptr), sizeof(Cluster3x3), 1, fp);
// if (n_read != 1) {
// clusters.resize(nph_read);
// return clusters;
// }
// // TODO! error handling on read
// good = 1;
// if (noise_map) {
// if (ptr->x >= 0 && ptr->x < nx && ptr->y >= 0 && ptr->y < ny) {
// tot1 = ptr->data[4];
// analyze_cluster(*ptr, &t2max, &tot3, NULL, NULL, NULL, NULL,
// NULL);
// noise = noise_map[ptr->y * nx + ptr->x];
// if (tot1 > noise || t2max > 2 * noise || tot3 > 3 * noise) {
// ;
// } else {
// good = 0;
// printf("%d %d %f %d %d %d\n", ptr->x, ptr->y, noise,
// tot1, t2max, tot3);
// }
// } else {
// printf("Bad pixel number %d %d\n", ptr->x, ptr->y);
// good = 0;
// }
// }
// if (good) {
// ptr++;
// nph_read++;
// }
// (m_num_left)--;
// if (nph_read >= n_clusters)
// break;
// }
// }
// if (nph_read < n_clusters) {
// // // keep on reading frames and photons until reaching
// // n_clusters
// while (fread(&iframe, sizeof(iframe), 1, fp)) {
// // // printf("%d\n",nph_read);
// if (fread(&nph, sizeof(nph), 1, fp)) {
// // // printf("** %d\n",nph);
// m_num_left = nph;
// for (size_t iph = 0; iph < nph; iph++) {
// // // read photons 1 by 1
// size_t n_read = fread(reinterpret_cast<void *>(ptr),
// sizeof(Cluster3x3), 1, fp);
// if (n_read != 1) {
// clusters.resize(nph_read);
// return clusters;
// // return nph_read;
// }
// good = 1;
// if (noise_map) {
// if (ptr->x >= 0 && ptr->x < nx && ptr->y >= 0 &&
// ptr->y < ny) {
// tot1 = ptr->data[4];
// analyze_cluster(*ptr, &t2max, &tot3, NULL, NULL,
// NULL, NULL, NULL);
// // noise = noise_map[ptr->y * nx + ptr->x];
// noise = noise_map[ptr->y + ny * ptr->x];
// if (tot1 > noise || t2max > 2 * noise ||
// tot3 > 3 * noise) {
// ;
// } else
// good = 0;
// } else {
// printf("Bad pixel number %d %d\n", ptr->x, ptr->y);
// good = 0;
// }
// }
// if (good) {
// ptr++;
// nph_read++;
// }
// (m_num_left)--;
// if (nph_read >= n_clusters)
// break;
// }
// }
// if (nph_read >= n_clusters)
// break;
// }
// }
// // printf("%d\n",nph_read);
// clusters.resize(nph_read);
// return clusters;
// }
NDArray<double, 2> calculate_eta2(ClusterVector<int> &clusters) {
//TOTO! make work with 2x2 clusters
NDArray<double, 2> eta2({static_cast<int64_t>(clusters.size()), 2});
@ -462,111 +394,4 @@ Eta2 calculate_eta2(Cluster2x2 &cl) {
}
int analyze_cluster(Cluster3x3 &cl, int32_t *t2, int32_t *t3, char *quad,
double *eta2x, double *eta2y, double *eta3x,
double *eta3y) {
return analyze_data(cl.data, t2, t3, quad, eta2x, eta2y, eta3x, eta3y);
}
int analyze_data(int32_t *data, int32_t *t2, int32_t *t3, char *quad,
double *eta2x, double *eta2y, double *eta3x, double *eta3y) {
int ok = 1;
int32_t tot2[4];
int32_t t2max = 0;
char c = 0;
int32_t val, tot3;
tot3 = 0;
for (int i = 0; i < 4; i++)
tot2[i] = 0;
for (int ix = 0; ix < 3; ix++) {
for (int iy = 0; iy < 3; iy++) {
val = data[iy * 3 + ix];
// printf ("%d ",data[iy * 3 + ix]);
tot3 += val;
if (ix <= 1 && iy <= 1)
tot2[cBottomLeft] += val;
if (ix >= 1 && iy <= 1)
tot2[cBottomRight] += val;
if (ix <= 1 && iy >= 1)
tot2[cTopLeft] += val;
if (ix >= 1 && iy >= 1)
tot2[cTopRight] += val;
}
// printf ("\n");
}
// printf ("\n");
if (t2 || quad) {
t2max = tot2[0];
c = cBottomLeft;
for (int i = 1; i < 4; i++) {
if (tot2[i] > t2max) {
t2max = tot2[i];
c = i;
}
}
// printf("*** %d %d %d %d --
// %d\n",tot2[0],tot2[1],tot2[2],tot2[3],t2max);
if (quad)
*quad = c;
if (t2)
*t2 = t2max;
}
if (t3)
*t3 = tot3;
if (eta2x || eta2y) {
if (eta2x)
*eta2x = 0;
if (eta2y)
*eta2y = 0;
switch (c) {
case cBottomLeft:
if (eta2x && (data[3] + data[4]) != 0)
*eta2x = static_cast<double>(data[4]) / (data[3] + data[4]);
if (eta2y && (data[1] + data[4]) != 0)
*eta2y = static_cast<double>(data[4]) / (data[1] + data[4]);
break;
case cBottomRight:
if (eta2x && (data[2] + data[5]) != 0)
*eta2x = static_cast<double>(data[5]) / (data[4] + data[5]);
if (eta2y && (data[1] + data[4]) != 0)
*eta2y = static_cast<double>(data[4]) / (data[1] + data[4]);
break;
case cTopLeft:
if (eta2x && (data[7] + data[4]) != 0)
*eta2x = static_cast<double>(data[4]) / (data[3] + data[4]);
if (eta2y && (data[7] + data[4]) != 0)
*eta2y = static_cast<double>(data[7]) / (data[7] + data[4]);
break;
case cTopRight:
if (eta2x && t2max != 0)
*eta2x = static_cast<double>(data[5]) / (data[5] + data[4]);
if (eta2y && t2max != 0)
*eta2y = static_cast<double>(data[7]) / (data[7] + data[4]);
break;
default:;
}
}
if (eta3x || eta3y) {
if (eta3x && (data[3] + data[4] + data[5]) != 0)
*eta3x = static_cast<double>(-data[3] + data[3 + 2]) /
(data[3] + data[4] + data[5]);
if (eta3y && (data[1] + data[4] + data[7]) != 0)
*eta3y = static_cast<double>(-data[1] + data[2 * 3 + 1]) /
(data[1] + data[4] + data[7]);
}
return ok;
}
} // namespace aare

65
src/ClusterFile.test.cpp Normal file
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@ -0,0 +1,65 @@
#include "aare/ClusterFile.hpp"
#include "test_config.hpp"
#include "aare/defs.hpp"
#include <catch2/catch_test_macros.hpp>
#include <filesystem>
using aare::ClusterFile;
TEST_CASE("Read one frame from a a cluster file", "[.integration]") {
//We know that the frame has 97 clusters
auto fpath = test_data_path() / "clusters" / "single_frame_97_clustrers.clust";
REQUIRE(std::filesystem::exists(fpath));
ClusterFile f(fpath);
auto clusters = f.read_frame();
REQUIRE(clusters.size() == 97);
REQUIRE(clusters.frame_number() == 135);
}
TEST_CASE("Read one frame using ROI", "[.integration]") {
//We know that the frame has 97 clusters
auto fpath = test_data_path() / "clusters" / "single_frame_97_clustrers.clust";
REQUIRE(std::filesystem::exists(fpath));
ClusterFile f(fpath);
aare::ROI roi;
roi.xmin = 0;
roi.xmax = 50;
roi.ymin = 200;
roi.ymax = 249;
f.set_roi(roi);
auto clusters = f.read_frame();
REQUIRE(clusters.size() == 49);
REQUIRE(clusters.frame_number() == 135);
//Check that all clusters are within the ROI
for (size_t i = 0; i < clusters.size(); i++) {
auto c = clusters.at<aare::Cluster3x3>(i);
REQUIRE(c.x >= roi.xmin);
REQUIRE(c.x <= roi.xmax);
REQUIRE(c.y >= roi.ymin);
REQUIRE(c.y <= roi.ymax);
}
}
TEST_CASE("Read clusters from single frame file", "[.integration]") {
auto fpath = test_data_path() / "clusters" / "single_frame_97_clustrers.clust";
REQUIRE(std::filesystem::exists(fpath));
ClusterFile f(fpath);
auto clusters = f.read_clusters(500);
REQUIRE(clusters.size() == 97);
//Cluster vector should hold the last read frame number:
REQUIRE(clusters.frame_number() == 135);
}

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@ -7,6 +7,6 @@ inline auto test_data_path(){
if(const char* env_p = std::getenv("AARE_TEST_DATA")){
return std::filesystem::path(env_p);
}else{
throw std::runtime_error("AARE_TEST_DATA_PATH not set");
throw std::runtime_error("Path to test data: $AARE_TEST_DATA not set");
}
}