mirror of
https://github.com/slsdetectorgroup/aare.git
synced 2025-06-06 21:00:41 +02:00
68dcfca74e
major changes: - add python bindings for all c++ features except network_io - changes to cross compile on windows,linux and macos - fix bugs with cluster_finder - use Dtype in Frame instead of bitdepth - remove boost::program_options and replace with our implementation - add Transforms class that applies a sequence of functions (c++ or python functions) on a Frame. - remove frame reorder and flip from SubFile.cpp. use Transforms instead - Test clusterFinder and Pedestal results in comparison with slsDetectorCalibration --------- Co-authored-by: Bechir <bechir.brahem420@gmail.com> Co-authored-by: Erik Fröjdh <erik.frojdh@gmail.com>
32 lines
1.1 KiB
C++
32 lines
1.1 KiB
C++
#include "aare.hpp"
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#include "aare/examples/defs.hpp"
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#include <cassert>
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#include <iostream>
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using namespace aare;
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int main() {
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auto PROJECT_ROOT_DIR = std::filesystem::path(getenv("AARE_ROOT_DIR"));
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std::filesystem::path const fpath("/home/l_bechir/tmp/testNewFW20230714/cu_half_speed_master_4.json");
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auto f = File(fpath, "r");
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// calculate pedestal
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Pedestal pedestal(400,400,1000);
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for (int i = 0; i < 1000; i++) {
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auto frame = f.read();
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pedestal.push<uint16_t>(frame);
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}
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// find clusters
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ClusterFinder clusterFinder(3, 3, 5, 0);
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f.seek(0);
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std::vector<std::vector<Cluster>> clusters_vector;
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auto start = std::chrono::high_resolution_clock::now();
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for (int i = 0; i < 1000; i++) {
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auto frame = f.iread(i);
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auto clusters = clusterFinder.find_clusters_without_threshold(frame.view<uint16_t>(), pedestal,false);
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clusters_vector.emplace_back(clusters);
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}
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auto end = std::chrono::high_resolution_clock::now();
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std::chrono::duration<double> elapsed_seconds = end-start;
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std::cout << "elapsed time: " << elapsed_seconds.count() << "s\n";
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} |