v1.0.0-rc.156 (#66)
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This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use. * jfjoch_process: Major rotation (rot3d) data processing overhaul - robust profile-fit integration, Cauchy-loss scaling with optional absorption surface, de-novo indexing and space-group/centering determination fixes, and merging statistics + ISa in the mmCIF output. * jfjoch_process: Add EXPERIMENTAL ice-ring detection (--detect-ice-rings) that excludes ice reflections from scaling. * Compression: Add BSHUF_ZSTD_RLE_HUFF, make compression size-aware (drop frames that don't fit rather than aborting), and add the jfjoch_recompress tool. * jfjoch_viewer: Report "Multiple lattices detected" and grey out "Analyze dataset" on a live connection. * jfjoch_broker: Write smargon chi/phi goniometer positions to NXmx; read sensor thickness/material from HDF5 metadata. * CI: Build Windows (CUDA and non-CUDA) installers.Reviewed-on: #66 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
This commit was merged in pull request #66.
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@@ -13,12 +13,14 @@
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#include "azint/AzIntEngineCPU.h"
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#include "roi/ROIIntegrationCPU.h"
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#include "spot_finding/ImageSpotFinderCPU.h"
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#include "bragg_integration/BraggIntegrationEngineCPU.h"
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#ifdef JFJOCH_USE_CUDA
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#include "azint/AzIntEngineGPU.h"
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#include "roi/ROIIntegrationGPU.h"
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#include "spot_finding/ImageSpotFinderGPU.h"
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#include "image_preprocessing/ImagePreprocessorGPU.h"
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#include "image_preprocessing/ImagePreprocessorBufferGPU.h"
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#include "bragg_integration/BraggIntegrationEngineGPU.h"
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#include "../common/CUDAWrapper.h"
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#endif
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@@ -44,6 +46,7 @@ MXAnalysisWithoutFPGA::MXAnalysisWithoutFPGA(const DiffractionExperiment &in_exp
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spotFinder = std::make_unique<ImageSpotFinderCPU>(experiment.GetXPixelsNum(), experiment.GetYPixelsNum());
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azint = std::make_unique<AzIntEngineCPU>(integration);
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preprocessor = std::make_unique<ImagePreprocessorCPU>(in_experiment, in_mask);
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bragg_engine = std::make_unique<BraggIntegrationEngineCPU>(in_experiment);
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if (experiment.ROI().size() >= 1)
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roi = std::make_unique<ROIIntegrationCPU>(experiment);
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#ifdef JFJOCH_USE_CUDA
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@@ -53,6 +56,7 @@ MXAnalysisWithoutFPGA::MXAnalysisWithoutFPGA(const DiffractionExperiment &in_exp
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preprocessor = std::make_unique<ImagePreprocessorGPU>(in_experiment, in_mask, stream);
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spotFinder = std::make_unique<ImageSpotFinderGPU>(experiment.GetXPixelsNum(), experiment.GetYPixelsNum(), stream);
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azint = std::make_unique<AzIntEngineGPU>(integration, stream);
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bragg_engine = std::make_unique<BraggIntegrationEngineGPU>(in_experiment, stream);
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if (experiment.ROI().size() >= 1)
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roi = std::make_unique<ROIIntegrationGPU>(experiment, stream);
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}
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@@ -99,9 +103,10 @@ void MXAnalysisWithoutFPGA::Analyze(DataMessage &output,
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output.spot_finding_time_s = std::chrono::duration<float>(spot_finding_end_time - spot_finding_start_time).count();
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if (spot_finding_settings.indexing)
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indexer.ProcessImage(output, spot_finding_settings,
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CompressedImage(preprocessor_buffer->getBuffer(), experiment.GetXPixelsNum(), experiment.GetYPixelsNum()),
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*prediction);
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indexer.ProcessImage(output, spot_finding_settings, *prediction,
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[this](const std::vector<Reflection> &predicted, size_t npredicted, int64_t image_number) {
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return bragg_engine->Run(*preprocessor_buffer, predicted, npredicted, image_number);
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});
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}
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output.max_viable_pixel_value = ret.max_value;
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@@ -113,6 +118,8 @@ void MXAnalysisWithoutFPGA::Analyze(DataMessage &output,
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output.az_int_profile_std = profile.GetStd();
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output.bkg_estimate = profile.GetBkgEstimate(integration.Settings());
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output.ice_ring_score = profile.GetIceRingScore(integration.Settings(),
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spot_finding_settings.ice_ring_width_Q_recipA);
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}
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void MXAnalysisWithoutFPGA::RebuildROI() {
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