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Jungfraujoch/common/PanelRows.h
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leonarski_f b00c668e3a
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v1.0.0-rc.179 (#90)
* 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>
2026-10-24 14:52:29 +02:00

40 lines
1.7 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
#include <algorithm>
#include <cstddef>
#include <cstdint>
#include <vector>
#include "DetectorModules.h"
// DetectorModules::ForEachPixel cut to the image rows [row0, row1), so that a dense map can be built a band
// of rows per thread. Calls f(panel, index, px, py) for every pixel of those rows that is on a panel, in
// index order: row by row, and within a row panel by panel from left to right. Pixels on no panel are not
// visited. Empty table: every pixel of the rows, panel -1, plane == image.
template<class F>
void ForEachPixelInRows(const DetectorModules &modules, int64_t width, int64_t row0, int64_t row1, F &&f) {
if (modules.empty()) {
for (int64_t y = row0; y < row1; y++)
for (int64_t x = 0; x < width; x++)
f(int64_t(-1), static_cast<size_t>(y * width + x), static_cast<double>(x), static_cast<double>(y));
return;
}
const auto &m = modules.Get();
std::vector<int64_t> on_row;
for (int64_t y = row0; y < row1; y++) {
on_row.clear();
for (size_t p = 0; p < m.size(); p++)
if (y >= m[p].y0 && y < m[p].y0 + m[p].height)
on_row.push_back(static_cast<int64_t>(p));
std::sort(on_row.begin(), on_row.end(), [&](int64_t a, int64_t b) { return m[a].x0 < m[b].x0; });
for (const int64_t p: on_row)
for (int64_t x = m[p].x0; x < m[p].x0 + m[p].width; x++) {
const auto [px, py] = m[p].ImageToPlane(static_cast<double>(x), static_cast<double>(y));
f(p, static_cast<size_t>(y * width + x), px, py);
}
}
}