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Jungfraujoch/image_analysis/bragg_integration/BraggIntegrationEngineCPU.h
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v1.0.0-rc.156 (#66)
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>
2026-07-03 19:18:56 +02:00

37 lines
1.9 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
#include "BraggIntegrationEngine.h"
class CompressedImage;
// Plain-C++ reference/fallback engine: a faithful serial re-expression of BraggIntegrate2D (box
// sum) and ProfileIntegrate2D (Kabsch profile fit) reading the preprocessed int32 image. Also the
// numeric oracle the CUDA engine is checked against.
class BraggIntegrationEngineCPU : public BraggIntegrationEngine {
// Core integrator, templated on a pixel sampler so it reads either the preprocessed int32 buffer
// or a raw CompressedImage of any pixel type - both presented per-pixel in the INT32_MIN(masked)/
// INT32_MAX(saturated) convention - without ever materialising a second full-image copy.
template <class Sampler>
std::vector<Reflection> RunImpl(const Sampler &img, const std::vector<Reflection> &predicted,
size_t npredicted, int64_t image_number);
public:
explicit BraggIntegrationEngineCPU(const DiffractionExperiment &experiment);
using BraggIntegrationEngine::Run; // keep the preprocessed-buffer overload visible
std::vector<Reflection> Run(const ImagePreprocessorBuffer &image,
const std::vector<Reflection> &predicted, size_t npredicted,
int64_t image_number) override;
// FPGA workflow: integrate straight off the assembled detector image, reading only the pixels
// inside each reflection disk (no whole-image conversion - the FPGA host cannot afford one at its
// frame rate). Masked pixels carry the type minimum and saturated the type maximum.
std::vector<Reflection> Run(const CompressedImage &image,
const std::vector<Reflection> &predicted, size_t npredicted,
int64_t image_number);
};