leonarski_f
58910274bf
MXAnalysisWithoutFPGA never filled DataMessage.roi, so ROI integrals were only available on the FPGA path. Add a software ROI engine that mirrors the FPGA roi_calc kernel: per-ROI sum, sum of squares, good-pixel count, max and intensity-weighted centre of mass, with each pixel carrying a 16-bit mask so it can contribute to any subset of up to 16 ROIs. New image_analysis/roi/ library (JFJochROIIntegration), structured like azint: a base that precomputes the per-pixel mask and names, a templated CPU engine (generic over pixel type for a future 16-bit path), and a GPU kernel using per-block shared-memory atomics for the STXM case (half-detector ROIs). Masked pixels are excluded entirely; saturated pixels are excluded from the sums but still count towards the max, matching roi_calc exactly. The engine is only constructed when at least one ROI is defined. Downstream CBOR/HDF5 already consume message.roi, so no further changes are needed. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
12 lines
421 B
C++
12 lines
421 B
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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#include "ROIIntegrationCPU.h"
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ROIIntegrationCPU::ROIIntegrationCPU(const DiffractionExperiment &experiment)
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: ROIIntegration(experiment) {}
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void ROIIntegrationCPU::Run(const ImagePreprocessorBuffer &image, std::map<std::string, ROIMessage> &out) {
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RunROI(image, out);
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}
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