leonarski_f
75e401f0e5
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This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use. * jfjoch_broker: Add EXPERIMENTAL pixelrefine mode for image processing * jfjoch_broker: Allow to load user mask from 8-bit and 16-bit TIFF files * jfjoch_broker: Add ROI calculation in non-FPGA workflow * jfjoch_broker: Fixes to TCP image pusher * jfjoch_broker: Remove NUMA bindings * jfjoch_broker: Improvements to indexing * jfjoch_broker: For PSI EIGER, trimming energies are taken from the detector configuration (now compulsory) instead of hardcoded values * jfjoch_writer: Save ROI definitions and the per-pixel ROI bitmap in the master file; azimuthal ROIs support phi (angular) sectors * jfjoch_viewer: Major redesign with dockable panels and saved layouts, plus on-canvas creation/move/resize of box, circle and azimuthal ROIs * jfjoch_viewer: Run jfjoch_process reprocessing jobs from inside the GUI and overlay per-run results Reviewed-on: #63
67 lines
2.5 KiB
C++
67 lines
2.5 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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#include "HDF5ImageSource.h"
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#include "../common/JFJochException.h"
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void HDF5ImageSource::Configure(HDF5ImageLocator::Layout layout) {
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locator_.Configure(std::move(layout));
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}
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void HDF5ImageSource::Clear() {
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locator_.Clear();
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}
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HDF5ImageLocator::Location HDF5ImageSource::Resolve(int64_t global) const {
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return locator_.Resolve(global);
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}
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std::vector<HDF5DataSourceMessage> HDF5ImageSource::GetSourceMapping(uint64_t first_image,
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std::optional<uint64_t> image_count,
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uint64_t total_images) const {
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return locator_.GetSourceMapping(first_image, image_count, total_images);
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}
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CompressedImage HDF5ImageSource::ReadImageAt(std::vector<uint8_t> &buffer,
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const HDF5ImageLocator::Location &loc) const {
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return LoadImageDataset(buffer, *loc.file, loc.local_index);
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}
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CompressedImage HDF5ImageSource::LoadImageDataset(std::vector<uint8_t> &tmp, HDF5Object &file, hsize_t number) {
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std::vector<hsize_t> start = {static_cast<hsize_t>(number), 0, 0};
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const std::string dataset_name = "/entry/data/data";
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HDF5DataSet dataset(file, dataset_name);
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HDF5DataSpace dataspace(dataset);
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HDF5DataType datatype(dataset);
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HDF5Dcpl dcpl(dataset);
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if (dataspace.GetNumOfDimensions() != 3)
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throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
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"/entry/data/data dataset must be 3D");
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auto dim = dataspace.GetDimensions();
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CompressionAlgorithm algorithm = CompressionAlgorithm::NO_COMPRESSION;
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auto chunk_size = dcpl.GetChunking();
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if ((chunk_size.size() == 3) && (chunk_size[0] == 1) && (chunk_size[1] == dim[1]) && (chunk_size[2] == dim[2])) {
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dataset.ReadDirectChunk(tmp, start);
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algorithm = dcpl.GetCompression();
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} else {
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dataset.ReadVectorToU8(tmp, start, {1, dim[1], dim[2]});
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algorithm = CompressionAlgorithm::NO_COMPRESSION;
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}
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if (datatype.IsFloat())
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throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
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"Float datasets not supported at this time");
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return {
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tmp, dim[2], dim[1],
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CalcImageMode(datatype.GetElemSize(), datatype.IsFloat(), datatype.IsSigned()),
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algorithm
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};
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}
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