Six methods the pages name or describe carried no citation: Padilla & Yeates (the L test), Steller, Bolotovsky & Rossmann (the projection/FFT autoindexing MOSFLM implements), TORO (what ffbidx implements), Krivy & Gruber and the ITA lattice-character table (the reduction and Bravais assignment), Cheetah's peakfinder8 (the per-ring background statistics of the adaptive finder) and Hennequin et al.'s SparseCCL (already credited to traccc, now also to its authors). Each gets its ACKNOWLEDGEMENT.md paragraph, a References entry in CPU_DATA_ANALYSIS.md, and a one-line credit at the algorithm. The Sheriff & Hendrickson / Popov & Bourenkov entry is re-scoped so each claim sits on the paper that supports it - P&B 2003 is titled, and credited for the sigma-aware anisotropy estimation its statistic modelling contains, not for the tensor and its constraints. All DOIs verified against the publishers; the SparseCCL DOI resolves to IEEE document 9049184 (IEEE blocks content scraping, so verified by the resolved document id plus two independent sources). Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EFEJG6WBQv8th4UJFNe53N
184 lines
7.7 KiB
C++
184 lines
7.7 KiB
C++
// SPDX-FileCopyrightText: 2024 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
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// SPDX-License-Identifier: GPL-3.0-only
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// SparseCCL code taken from https://github.com/acts-project/traccc/blob/main/core/include/traccc/clusterization/detail/sparse_ccl.hpp
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// (c) 2021-2022 CERN for the benefit of the ACTS project
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// Mozilla Public License Version 2.0
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// The algorithm: Hennequin, Couturier, Gligorov & Lacassagne (2019) DASIP 2019, 65-70 (SparseCCL)
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//
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// The union-find and the two-scan structure are theirs. How a pixel's earlier neighbours are FOUND
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// is not: see sparseccl below.
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#include <algorithm>
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#include <bitset>
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#include "StrongPixelSet.h"
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StrongPixelSet::StrongPixelSet() : strong_pixel_count(0) {
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pixels.reserve(max_strong_pixel_per_module);
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}
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void StrongPixelSet::AddStrongPixel(uint16_t col, uint16_t line, int32_t photons) {
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pixels.push_back(strong_pixel{.col = col, .line = line, .counts = photons});
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++strong_pixel_count;
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}
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uint32_t StrongPixelSet::find_root(uint32_t e) {
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uint32_t r = e;
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while (L[r] != r)
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r = L[r];
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return r;
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}
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uint32_t StrongPixelSet::make_union(uint32_t e1, uint32_t e2) {
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uint32_t e;
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if (e1 < e2) {
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e = e1;
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L[e2] = e;
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} else {
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e = e2;
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L[e1] = e;
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}
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return e;
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}
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std::vector<DiffractionSpot> StrongPixelSet::sparseccl(const SpotFindingSettings &settings) {
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L.resize(pixels.size());
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unsigned int labels = 0;
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// First scan: pixel association. The pixels arrive in raster order - line ascending, column
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// ascending within a line - which upstream uses to walk a sliding window of the last two lines,
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// testing every pixel in it for adjacency. That is quadratic in how many strong pixels a line
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// pair holds: fine for the silicon-tracker hits it was written for, but a flooded detector line
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// holds four thousand of them, and labelling a fully lit frame took 76 seconds.
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//
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// Since the columns ascend, the window need not be walked. A pixel's earlier 8-neighbours are
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// exactly the one to its left and the at most three above it, so keep the previous line's range
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// and a cursor into it that only ever moves forward - the same four neighbours the GPU extractor
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// finds by binary search. Same edge set, same unions in the same order, therefore the same
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// labels; the flooded frame now takes 0.16 s.
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uint32_t line_begin = 0; // first pixel of the line being scanned
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uint32_t prev_begin = 0, prev_end = 0; // the pixels of the line above it
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uint32_t up = 0; // cursor into [prev_begin, prev_end)
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for (uint32_t i = 0; i < pixels.size(); ++i) {
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L[i] = i;
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if (i > 0 && pixels[i].line != pixels[i - 1].line) {
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// The line above is the previous one only if it really is the line above: a line with no
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// strong pixel at all leaves nothing to join to.
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prev_begin = (pixels[i].line == pixels[i - 1].line + 1) ? line_begin : i;
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prev_end = i;
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line_begin = i;
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up = prev_begin;
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}
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uint32_t ai = i;
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while (up < prev_end && pixels[up].col + 1 < pixels[i].col)
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++up;
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for (uint32_t j = up; j < prev_end && pixels[j].col <= pixels[i].col + 1; ++j)
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ai = make_union(ai, find_root(j));
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// The pixel to the left comes last, as it did when the window was walked in order.
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if (i > line_begin && pixels[i - 1].col + 1 == pixels[i].col)
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ai = make_union(ai, find_root(i - 1));
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}
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// second scan: transitive closure
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for (uint32_t i = 0; i < L.size(); ++i) {
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if (L[i] == i) {
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L[i] = labels++;
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} else {
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L[i] = L[L[i]];
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}
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}
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std::vector<DiffractionSpot> spots(labels);
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// The bounding box travels with the accumulation rather than on DiffractionSpot: it is wanted
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// only to judge the shape here, and carrying it further would leave a member that
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// ConvertToImageCoordinates silently invalidates.
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std::vector<uint16_t> min_col(labels, UINT16_MAX), max_col(labels, 0);
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std::vector<uint16_t> min_line(labels, UINT16_MAX), max_line(labels, 0);
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for (uint32_t i = 0; i < L.size(); i++) {
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const uint32_t l = L[i];
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spots[l].AddPixel(pixels[i].col, pixels[i].line, pixels[i].counts);
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min_col[l] = std::min(min_col[l], pixels[i].col);
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max_col[l] = std::max(max_col[l], pixels[i].col);
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min_line[l] = std::min(min_line[l], pixels[i].line);
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max_line[l] = std::max(max_line[l], pixels[i].line);
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}
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std::vector<DiffractionSpot> out;
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for (uint32_t l = 0; l < labels; l++) {
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if (spots[l].PixelCount() > settings.max_pix_per_spot)
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continue;
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const int64_t w = static_cast<int64_t>(max_col[l]) - min_col[l] + 1;
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const int64_t h = static_cast<int64_t>(max_line[l]) - min_line[l] + 1;
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if (SpotShapeAccepted(spots[l].PixelCount(), std::max(w, h)))
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out.push_back(spots[l]);
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}
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return out;
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}
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void StrongPixelSet::FindComponentsImage(const SpotFindingSettings &settings, std::vector<DiffractionSpot> &spots) {
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// No StrongPixelLimit test here: the caller knows how big the image is and has already applied it.
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// Size and shape are applied by sparseccl.
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for (const auto &spot: sparseccl(settings))
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spots.push_back(spot);
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}
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void StrongPixelSet::FindSpots(const DiffractionExperiment &experiment, const SpotFindingSettings &settings,
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std::vector<DiffractionSpot> &spots, uint16_t module_number) {
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// Per module, so the bar is the module's own - and ReadFPGAOutput has already refused anything
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// past max_strong_pixel_per_module, far below it.
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if (!pixels.empty() && (strong_pixel_count < StrongPixelLimit(RAW_MODULE_SIZE))) {
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for (const auto &spot: sparseccl(settings)) {
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if (spot.PixelCount() >= settings.min_pix_per_spot.value_or(2)) {
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auto s = spot;
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s.ConvertToImageCoordinates(experiment, module_number);
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spots.push_back(s);
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}
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}
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}
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}
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void StrongPixelSet::ReadFPGAOutput(const DiffractionExperiment & experiment,
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const DeviceOutput &output) {
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// Too many strong pixels will kill performance in data processing, so protection is needed
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// Also if there are no strong pixels, there is no point in looking for them
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if ((output.spot_finding_result.strong_pixel_count == 0) ||
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(output.spot_finding_result.strong_pixel_count > max_strong_pixel_per_module)) {
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// If max strong pixel per module condition kicks-in, still report correct strong pixel count
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strong_pixel_count = output.spot_finding_result.strong_pixel_count;
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return;
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}
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auto pixel_depth = experiment.GetByteDepthImage();
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auto out_ptr = (uint32_t *) output.spot_finding_result.strong_pixel;
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for (int i = 0; i < RAW_MODULE_SIZE / (8 * sizeof(out_ptr[0])); i++) {
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size_t npixel = i * 8 * sizeof(out_ptr[0]);
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size_t line = npixel / RAW_MODULE_COLS;
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if (out_ptr[i] != 0) {
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std::bitset<32> bitset(out_ptr[i]);
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for (int j = 0; j < 32; j++) {
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if (bitset.test(j)) {
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size_t col = (npixel | j) % RAW_MODULE_COLS;
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if (pixel_depth == 2)
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AddStrongPixel(col, line, output.pixels[npixel | j]);
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else if (pixel_depth == 1)
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AddStrongPixel(col, line, ((int8_t *)output.pixels)[npixel | j]);
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else if (pixel_depth == 4)
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AddStrongPixel(col, line, ((int32_t *)output.pixels)[npixel | j]);
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}
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}
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}
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}
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}
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uint32_t StrongPixelSet::GetStrongPixelCount() const {
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return strong_pixel_count;
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}
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