leonarski_f
b00c668e3a
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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>
32 lines
1.1 KiB
C++
32 lines
1.1 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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#pragma once
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#include <map>
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#include <vector>
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#include <cstdint>
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#include <optional>
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#include "DetectorSetup.h"
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#include "ROIDefinition.h"
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#include "DiffractionGeometry.h"
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#include "DetectorModules.h"
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class ROIMap {
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ROIDefinition rois;
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static constexpr const size_t roi_limit = 16;
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public:
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void SetROI(const ROIDefinition& input);
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// Box and circle ROIs are drawn in image pixels; azimuthal ROIs at each pixel's place on the plane
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// (`modules`, empty when that is where the image has it).
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[[nodiscard]] std::vector<uint16_t> GetROIMap(const DiffractionGeometry &geom, const DetectorModules &modules,
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size_t width, size_t height) const;
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[[nodiscard]] std::map<std::string, uint16_t> GetROINameMap() const;
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[[nodiscard]] const ROIDefinition& GetROIDefinition() const;
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[[nodiscard]] bool empty() const;
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[[nodiscard]] size_t size() const;
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[[nodiscard]] std::vector<ROIConfig> ExportMetadata() const;
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};
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