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Feature/reactivate python bindings (#74)

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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>
This commit is contained in:
Bechir Braham
2024-07-04 11:51:48 +02:00
committed by GitHub
parent 5b7ab5a810
commit 68dcfca74e
107 changed files with 11451 additions and 1476 deletions
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8
examples/cluster_finder_example.cpp
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@ -15,7 +15,7 @@ int main() {
logger::info("RAW file");
logger::info("file rows:", file.rows(), "cols:", file.cols());
logger::info(file.total_frames());
Frame frame(0, 0, 0);
Frame frame(0, 0, Dtype::NONE);
for (auto i = 0; i < 10000; i++) {
if (file.frame_number(i) == 23389) {
logger::info("frame_number:", file.frame_number(i));
@ -41,18 +41,18 @@ int main() {
logger::info("Pedestal mean:", p.mean(0, 0), "std:", p.standard_deviation(0, 0));
logger::info("Pedestal mean:", p.mean(200, 200), "std:", p.standard_deviation(200, 200));
FileConfig cfg;
cfg.dtype = DType(typeid(double));
cfg.dtype = Dtype(typeid(double));
cfg.rows = p.rows();
cfg.cols = p.cols();
NumpyFile np_pedestal("/home/l_bechir/tmp/testNewFW20230714/pedestal.npy", "w", cfg);
cfg.dtype = DType(typeid(uint16_t));
cfg.dtype = Dtype(typeid(uint16_t));
NumpyFile np_frame("/home/l_bechir/tmp/testNewFW20230714/frame.npy", "w", cfg);
np_pedestal.write(p.mean());
np_frame.write(frame.view<uint16_t>());
auto clusters = clusterFinder.find_clusters(frame.view<uint16_t>(), p);
auto clusters = clusterFinder.find_clusters_without_threshold(frame.view<uint16_t>(), p);
logger::info("nclusters:", clusters.size());
// aare::logger::info("nclusters:", clusters.size());