leonarski_f
75e401f0e5
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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_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
79 lines
2.6 KiB
C++
79 lines
2.6 KiB
C++
// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
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// SPDX-License-Identifier: GPL-3.0-only
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#pragma once
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#include <string>
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#include <optional>
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#include <vector>
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#include <map>
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#include "../common/DiffractionGeometry.h"
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#include "../common/DiffractionExperiment.h"
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#include "../common/PixelMask.h"
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#include "../common/AzimuthalIntegrationMapping.h"
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struct JFJochReaderDataset {
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std::string arm_date;
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DiffractionExperiment experiment;
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PixelMask pixel_mask;
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std::optional<int64_t> error_value;
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std::string jfjoch_release;
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std::vector<float> az_int_bin_to_q;
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std::vector<float> az_int_bin_to_phi;
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size_t azimuthal_bins = 0;
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size_t q_bins = 0;
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std::vector<float> spot_count;
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std::vector<float> spot_count_indexed;
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std::vector<float> spot_count_low_res;
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std::vector<float> spot_count_ice_rings;
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std::vector<float> indexing_result;
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std::vector<float> indexing_lattice_count;
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std::vector<float> bkg_estimate;
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std::vector<float> resolution_estimate;
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std::vector<float> efficiency;
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std::vector<float> profile_radius;
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std::vector<float> mosaicity_deg;
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std::vector<float> b_factor;
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std::vector<float> integrated_reflections;
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std::vector<float> image_scale_factor;
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std::vector<float> image_scale_cc;
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std::vector<float> image_scale_b;
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std::vector<int64_t> max_value;
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// Maps this dataset's image index -> the original/collected image number it came from.
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// Empty means identity (image i == original image i). Lets a dataset be a subset (or strided
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// selection) of the truly collected images: reprocessing snapshots over a sub-range, and (in
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// future) a main dataset that was filtered on-the-fly during collection.
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std::vector<int> source_image_number;
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std::vector<std::string> roi;
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std::vector<std::vector<int64_t>> roi_sum;
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std::vector<std::vector<int64_t>> roi_sum_sq;
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std::vector<std::vector<int64_t>> roi_max;
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std::vector<std::vector<int64_t>> roi_npixel;
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std::vector<std::vector<float>> roi_x;
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std::vector<std::vector<float>> roi_y;
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// ROI definitions stored in the master file. The logical definitions populate
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// experiment.ROI() (they re-derive with the current geometry); roi_map is the
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// per-pixel bitmask as written (constant footprint), with roi_bit_index mapping
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// each ROI name to its bit.
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std::vector<uint16_t> roi_map;
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std::map<std::string, uint16_t> roi_bit_index;
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std::vector<std::string> calibration_data;
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JFJochReaderDataset() = default;
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JFJochReaderDataset(const JFJochReaderDataset &other) = default;
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};
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