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>
45 lines
1.3 KiB
C++
45 lines
1.3 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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#include "IndexerFactory.h"
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#include "FFBIDXIndexerCPU.h"
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#include "../../common/CUDAWrapper.h"
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#ifdef JFJOCH_USE_CUDA
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#include "FFBIDXIndexer.h"
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#include "FFTIndexerGPU.h"
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#endif
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#ifdef JFJOCH_USE_FFTW
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#include "FFTIndexerCPU.h"
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#endif
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std::unique_ptr<Indexer> CreateIndexer(const DiffractionExperiment& experiment) {
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std::unique_ptr<Indexer> indexer;
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switch (experiment.GetIndexingAlgorithm()) {
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case IndexingAlgorithmEnum::FFBIDX:
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#ifdef JFJOCH_USE_CUDA
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if (get_gpu_count() > 0)
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indexer = std::make_unique<FFBIDXIndexer>();
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#endif
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if (!indexer)
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indexer = std::make_unique<FFBIDXIndexerCPU>();
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indexer->Setup(experiment);
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break;
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case IndexingAlgorithmEnum::FFTW:
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#ifdef JFJOCH_USE_FFTW
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indexer = std::make_unique<FFTIndexerCPU>(experiment.GetIndexingSettings());
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indexer->Setup(experiment);
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#endif
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break;
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case IndexingAlgorithmEnum::FFT:
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#ifdef JFJOCH_USE_CUDA
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indexer = std::make_unique<FFTIndexerGPU>(experiment.GetIndexingSettings());
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indexer->Setup(experiment);
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#endif
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break;
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default:
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break;
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}
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return indexer;
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} |