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Jungfraujoch/image_analysis/MXAnalysisWithoutFPGA.cpp
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v1.0.0-rc.153 (#63)
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_broker: Add EXPERIMENTAL pixelrefine mode for image processing
* jfjoch_broker: Allow to load user mask from 8-bit and 16-bit TIFF files
* jfjoch_broker: Add ROI calculation in non-FPGA workflow
* jfjoch_broker: Fixes to TCP image pusher
* jfjoch_broker: Remove NUMA bindings
* jfjoch_broker: Improvements to indexing
* jfjoch_broker: For PSI EIGER, trimming energies are taken from the detector configuration (now compulsory) instead of hardcoded values
* jfjoch_writer: Save ROI definitions and the per-pixel ROI bitmap in the master file; azimuthal ROIs support phi (angular) sectors
* jfjoch_viewer: Major redesign with dockable panels and saved layouts, plus on-canvas creation/move/resize of box, circle and azimuthal ROIs
* jfjoch_viewer: Run jfjoch_process reprocessing jobs from inside the GUI and overlay per-run results

Reviewed-on: #63
2026-06-23 20:29:49 +02:00

156 lines
7.0 KiB
C++

// SPDX-FileCopyrightText: 2024 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#include "MXAnalysisWithoutFPGA.h"
#include "spot_finding/StrongPixelSet.h"
#include "../compression/JFJochDecompress.h"
#include "spot_finding/SpotUtils.h"
#include "bragg_prediction/BraggPredictionFactory.h"
#include "image_preprocessing/ImagePreprocessorCPU.h"
#include "azint/AzIntEngineCPU.h"
#include "roi/ROIIntegrationCPU.h"
#include "spot_finding/ImageSpotFinderCPU.h"
#ifdef JFJOCH_USE_CUDA
#include "azint/AzIntEngineGPU.h"
#include "roi/ROIIntegrationGPU.h"
#include "spot_finding/ImageSpotFinderGPU.h"
#include "image_preprocessing/ImagePreprocessorGPU.h"
#include "image_preprocessing/ImagePreprocessorBufferGPU.h"
#include "../common/CUDAWrapper.h"
#endif
MXAnalysisWithoutFPGA::MXAnalysisWithoutFPGA(const DiffractionExperiment &in_experiment,
const AzimuthalIntegrationMapping &in_integration,
const PixelMask &in_mask,
IndexAndRefine &in_indexer)
: experiment(in_experiment),
integration(in_integration),
npixels(experiment.GetPixelsNum()),
xpixels(experiment.GetXPixelsNum()),
indexer(in_indexer),
prediction(CreateBraggPrediction(experiment.IsRotationIndexing())),
mask(in_mask),
mask_resolution(experiment.GetPixelsNum(), false),
mask_high_res(-1),
mask_low_res(-1) {
#ifdef JFJOCH_USE_CUDA
if (get_gpu_count() == 0) {
#endif
preprocessor_buffer = std::make_unique<ImagePreprocessorBuffer>(experiment.GetPixelsNum());
spotFinder = std::make_unique<ImageSpotFinderCPU>(experiment.GetXPixelsNum(), experiment.GetYPixelsNum());
azint = std::make_unique<AzIntEngineCPU>(integration);
preprocessor = std::make_unique<ImagePreprocessorCPU>(in_experiment, in_mask);
if (experiment.ROI().size() >= 1)
roi = std::make_unique<ROIIntegrationCPU>(experiment);
#ifdef JFJOCH_USE_CUDA
} else {
stream = std::make_shared<CudaStream>();
preprocessor_buffer = std::make_unique<ImagePreprocessorBufferGPU>(experiment.GetPixelsNum());
preprocessor = std::make_unique<ImagePreprocessorGPU>(in_experiment, in_mask, stream);
spotFinder = std::make_unique<ImageSpotFinderGPU>(experiment.GetXPixelsNum(), experiment.GetYPixelsNum(), stream);
azint = std::make_unique<AzIntEngineGPU>(integration, stream);
if (experiment.ROI().size() >= 1)
roi = std::make_unique<ROIIntegrationGPU>(experiment, stream);
}
#endif
}
void MXAnalysisWithoutFPGA::Analyze(DataMessage &output,
AzimuthalIntegrationProfile &profile,
const SpotFindingSettings &spot_finding_settings) {
if ((output.image.GetWidth() != xpixels)
|| (output.image.GetWidth() * output.image.GetHeight() != npixels))
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"Mismatch in pixel size");
const auto compression_start_time = std::chrono::steady_clock::now();
const uint8_t *image_ptr = output.image.GetUncompressedPtr(decompression_buffer);
const auto compression_end_time = std::chrono::steady_clock::now();
if (output.image.GetCompressionAlgorithm() != CompressionAlgorithm::NO_COMPRESSION)
output.compression_time_s = std::chrono::duration<float>(compression_end_time - compression_start_time).count();
const auto preprocessing_start_time = std::chrono::steady_clock::now();
auto ret = preprocessor->Analyze(*preprocessor_buffer, image_ptr, output.image.GetMode());
const auto preprocessing_end_time = std::chrono::steady_clock::now();
output.preprocessing_time_s = std::chrono::duration<float>(preprocessing_end_time - preprocessing_start_time).count();
const auto azint_start_time = std::chrono::steady_clock::now();
azint->Run(*preprocessor_buffer, profile);
const auto azint_end_time = std::chrono::steady_clock::now();
output.azint_time_s = std::chrono::duration<float>(azint_end_time - azint_start_time).count();
if (roi)
roi->Run(*preprocessor_buffer, output.roi);
if (spot_finding_settings.enable) {
// Update resolution mask
if (mask_high_res != spot_finding_settings.high_resolution_limit
|| mask_low_res != spot_finding_settings.low_resolution_limit)
UpdateMaskResolution(spot_finding_settings);
const auto spot_finding_start_time = std::chrono::steady_clock::now();
const std::vector<DiffractionSpot> spots = spotFinder->Run(*preprocessor_buffer, spot_finding_settings, mask_resolution);
SpotAnalyze(experiment, spot_finding_settings, spots, output);
const auto spot_finding_end_time = std::chrono::steady_clock::now();
output.spot_finding_time_s = std::chrono::duration<float>(spot_finding_end_time - spot_finding_start_time).count();
if (spot_finding_settings.indexing)
indexer.ProcessImage(output, spot_finding_settings,
CompressedImage(preprocessor_buffer->getBuffer(), experiment.GetXPixelsNum(), experiment.GetYPixelsNum()),
*prediction);
}
output.max_viable_pixel_value = ret.max_value;
output.min_viable_pixel_value = ret.min_value;
output.error_pixel_count = ret.error_pixel_count;
output.saturated_pixel_count = ret.saturated_pixel_count;
output.az_int_profile = profile.GetResult();
output.az_int_profile_count = profile.GetPixelCount();
output.az_int_profile_std = profile.GetStd();
output.bkg_estimate = profile.GetBkgEstimate(integration.Settings());
}
void MXAnalysisWithoutFPGA::RebuildROI() {
if (experiment.ROI().empty()) {
roi.reset();
return;
}
#ifdef JFJOCH_USE_CUDA
if (stream) {
roi = std::make_unique<ROIIntegrationGPU>(experiment, stream);
return;
}
#endif
roi = std::make_unique<ROIIntegrationCPU>(experiment);
}
void MXAnalysisWithoutFPGA::AnalyzeROIOnly(DataMessage &output) {
if ((output.image.GetWidth() != xpixels)
|| (output.image.GetWidth() * output.image.GetHeight() != npixels))
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"Mismatch in pixel size");
const uint8_t *image_ptr = output.image.GetUncompressedPtr(decompression_buffer);
preprocessor->Analyze(*preprocessor_buffer, image_ptr, output.image.GetMode());
RunROIOnly(output);
}
void MXAnalysisWithoutFPGA::RunROIOnly(DataMessage &output) {
output.roi.clear();
if (roi)
roi->Run(*preprocessor_buffer, output.roi);
}
void MXAnalysisWithoutFPGA::UpdateMaskResolution(const SpotFindingSettings &settings) {
mask_low_res = settings.low_resolution_limit;
mask_high_res = settings.high_resolution_limit;
auto const &resolution_map = integration.Resolution();
for (int i = 0; i < mask_resolution.size(); i++)
mask_resolution[i] = (resolution_map[i] > mask_low_res) || (resolution_map[i] < mask_high_res);
}