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* Rugnux: Stills processing needs only the unit cell and space group beyond what the file records - detector distance, beam centre, tilt, panel placement, saturation level, gain and polarisation plane are found from the images - and is up to twice as fast. * Rugnux: Stills can be indexed without a GPU, with a CPU implementation of the fast-feedback indexer (macOS, computers without a GPU). * Rugnux: Rotation and stills data are integrated in the detector's own units with one gain model, improving data from CCD detectors. * Web frontend: The Rugnux live page shows the placed model with its electron density and anomalous difference map in a Mol* viewer. Reviewed-on: #90 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
40 lines
1.7 KiB
C++
40 lines
1.7 KiB
C++
// SPDX-FileCopyrightText: 2026 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 <algorithm>
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#include <cstddef>
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#include <cstdint>
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#include <vector>
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#include "DetectorModules.h"
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// DetectorModules::ForEachPixel cut to the image rows [row0, row1), so that a dense map can be built a band
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// of rows per thread. Calls f(panel, index, px, py) for every pixel of those rows that is on a panel, in
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// index order: row by row, and within a row panel by panel from left to right. Pixels on no panel are not
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// visited. Empty table: every pixel of the rows, panel -1, plane == image.
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template<class F>
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void ForEachPixelInRows(const DetectorModules &modules, int64_t width, int64_t row0, int64_t row1, F &&f) {
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if (modules.empty()) {
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for (int64_t y = row0; y < row1; y++)
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for (int64_t x = 0; x < width; x++)
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f(int64_t(-1), static_cast<size_t>(y * width + x), static_cast<double>(x), static_cast<double>(y));
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return;
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}
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const auto &m = modules.Get();
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std::vector<int64_t> on_row;
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for (int64_t y = row0; y < row1; y++) {
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on_row.clear();
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for (size_t p = 0; p < m.size(); p++)
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if (y >= m[p].y0 && y < m[p].y0 + m[p].height)
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on_row.push_back(static_cast<int64_t>(p));
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std::sort(on_row.begin(), on_row.end(), [&](int64_t a, int64_t b) { return m[a].x0 < m[b].x0; });
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for (const int64_t p: on_row)
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for (int64_t x = m[p].x0; x < m[p].x0 + m[p].width; x++) {
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const auto [px, py] = m[p].ImageToPlane(static_cast<double>(x), static_cast<double>(y));
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f(p, static_cast<size_t>(y * width + x), px, py);
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}
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}
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}
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