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Jungfraujoch/reader/JFJochReaderImage.cpp
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v1.0.0-rc.157 (#67)
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.

* rugnux: Rebrand the offline data-processing subsystem as `rugnux` and consolidate all offline analysis into the single `rugnux` binary - `jfjoch_process` is now `rugnux`, the former `jfjoch_azint` is now `rugnux --azint-only`, and `jfjoch_scale` is now `rugnux --scale` (see the new docs/NAMING.md and docs/RUGNUX.md). Scaling and merging are on by default for rotation and stills (`--no-merge` disables them), replacing the previous opt-in `-M, --scale-merge`.
* rugnux: CLI fixes - default `-N` to all hardware threads, parse numeric option arguments strictly (reject non-numeric or trailing input instead of silently yielding 0), require `--wavelength > 0`, and correct the reproduced command line and `--scale` reference-cell handling.
* rugnux: De-novo space-group improvements - recover genuine high symmetry and centred Bravais lattices from intensities, add an automatic CC1/2 high-resolution cutoff, and report L-test twinning statistics.
* rugnux: Index weakly-diffracting low-resolution rotation data that previously failed (e.g. F-cubic crystals that diffract only to ~4 A on a detector reaching ~1.5 A). The per-frame indexing gate now measures the indexed fraction only within the resolution range the lattice actually diffracts to, so the many sub-diffraction ice/noise spots no longer make the fraction floor unreachable; the two-pass first pass tries several image-sampling schemes (spread across the whole rotation vs a consecutive wedge whose native stride keeps a reflection's rocking curve continuous, letting the FFT resolve a long axis) and keeps the one that indexes the most frames; and the de-novo space-group search no longer discards all reflections (and crashes) when every resolution shell falls below <I/sigma> = 1.
* rugnux: Lower the low-resolution R-meas for strongly-diffracting rotation data - drop edge-of-sweep truncated fulls whose rocking curve was captured below `--min-captured-fraction` (default 0.7 for rotation), and report R-meas only over the observations kept by outlier rejection (matching XDS). The 0.7 default also strips the partiality-extrapolated fulls that dominate the intensity second moment on weakly-diffracting crystals, so the de-novo space-group search is no longer starved by the error-model I/sigma floor and recovers the correct symmetry (e.g. the F-cubic Benas crystals: Benas_3 -> F432, Benas_7 -> P6122, instead of P4/P1); on the reference battery every other crystal keeps its space group.
* rugnux: Write the refined geometry (beam, tilt, axis) to _process.h5 and place non-standard mmCIF items under a reserved `jfjoch` prefix.
* jfjoch_broker: Ordinary acquisition failures (receiver/writer/analysis problems, missed packets, writer disconnect) now return to the Idle state with an Error-severity message, so a run can be retried without an expensive re-initialisation; only failures that leave the detector in an undefined state (new JFJochCriticalException, e.g. PCIe/FPGA faults) go to the Error state and force re-initialisation.
* jfjoch_broker: A synchronous /start now reports its failure to the HTTP caller instead of returning HTTP 200, and an incomplete or truncated dataset (missing packets, writer disconnect) is reported as an error rather than a "reduce frame rate" warning.
* jfjoch_broker: Drop uncollected placeholder rows (number = -1) from the scan_result REST endpoint.
* jfjoch_broker: Fix the inverted per-image compression ratio reported by the Lite receiver (was compressed/uncompressed instead of uncompressed/compressed).
* jfjoch_broker: Bragg integration adds a quantization-noise variance floor with a box-sum fallback, and treats the type-maximum marker as an invalid pixel for unsigned image types.
* jfjoch_writer: Detect file-overwrite conflicts at start for back-channel transports, and reset the writer when end-of-collection finalisation fails.
* jfjoch_viewer: Preview overlays follow the geometry (resolution/ROI arcs, true beam centre, predictions, coral secondary-lattice spots, legend), add save-as-JPEG, and fix an HTTP live-follow memory leak.
* Frontend: Improved aesthetics and usability, and added in-browser pixel-mask and JUNGFRAU-pedestal visualisation.
* CI: Name the Windows installer jfjoch-viewer-* instead of jfjoch-*.Reviewed-on: #67

Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-07-11 07:19:11 +02:00

294 lines
10 KiB
C++

// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#include "JFJochReaderImage.h"
#include "../common/PixelMask.h"
#include "JFJochDecompress.h"
#include <queue>
#include <algorithm>
#include <cmath>
JFJochReaderImage::JFJochReaderImage(const DataMessage &in_message,
const std::shared_ptr<const JFJochReaderDataset> &in_dataset)
: message(in_message),
dataset(in_dataset),
image(in_dataset->experiment.GetPixelsNum(), 0) {
ProcessInputImage(in_message.image);
message.image = CompressedImage(image, in_dataset->experiment.GetXPixelsNum(),
in_dataset->experiment.GetYPixelsNum());
}
JFJochReaderImage::JFJochReaderImage(const JFJochReaderImage &other)
: dataset(other.dataset),
image(other.image),
message(other.message),
saturated_pixel(other.saturated_pixel),
error_pixel(other.error_pixel),
valid_pixel(other.valid_pixel),
valid_min(other.valid_min),
valid_max(other.valid_max),
valid_count(other.valid_count),
has_valid(other.has_valid),
top_pixels_acc(other.top_pixels_acc),
top_pixels(other.top_pixels),
count_histogram(other.count_histogram),
auto_foreground(other.auto_foreground) {
// Need to make image use local copy
message.image = CompressedImage(image, dataset->experiment.GetXPixelsNum(),
dataset->experiment.GetYPixelsNum());
}
void JFJochReaderImage::ProcessInputImage(const CompressedImage &in_image) {
size_t npixel = in_image.GetWidth() * in_image.GetHeight();
if (npixel == 0)
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"Image size cannot be zero");
std::vector<uint8_t> tmp;
const auto compression_start_time = std::chrono::steady_clock::now();
const uint8_t *image_ptr = in_image.GetUncompressedPtr(tmp);
const auto compression_end_time = std::chrono::steady_clock::now();
if (in_image.GetCompressionAlgorithm() != CompressionAlgorithm::NO_COMPRESSION)
message.compression_time_s = std::chrono::duration<float>(compression_end_time - compression_start_time).count();
switch (in_image.GetMode()) {
case CompressedImageMode::Int8:
ProcessInputImage<int8_t>(image_ptr, npixel, INT8_MAX, INT8_MIN);
break;
case CompressedImageMode::Int16:
ProcessInputImage<int16_t>(image_ptr, npixel, INT16_MAX, INT16_MIN);
break;
case CompressedImageMode::Int32:
ProcessInputImage<int32_t>(image_ptr, npixel, INT32_MAX, INT32_MIN);
break;
case CompressedImageMode::Uint8:
ProcessInputImage<uint8_t>(image_ptr, npixel, UINT8_MAX, INT64_MAX);
break;
case CompressedImageMode::Uint16:
ProcessInputImage<uint16_t>(image_ptr, npixel, UINT16_MAX, INT64_MAX);
break;
case CompressedImageMode::Uint32:
ProcessInputImage<uint32_t>(image_ptr, npixel, INT32_MAX, INT64_MAX);
break;
default:
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, "Floating point images not supported");
}
}
template<class T>
void JFJochReaderImage::ProcessInputImage(const void *data, size_t npixel, int64_t sat_value, int64_t special_value) {
if (npixel != image.size())
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"Mismatch in input size");
const T* img_ptr = reinterpret_cast<const T*>(data);
// Reset per-image stats
saturated_pixel.clear();
error_pixel.clear();
valid_count = 0;
has_valid = false;
top_pixels_acc.Clear();
top_pixels.clear();
top_pixels.reserve(top_pixels_acc.Capacity());
bool has_input_mask = false;
const auto &mask = dataset->pixel_mask->GetMask();
if (mask.size() == npixel)
has_input_mask = true;
for (size_t i = 0; i < npixel; i++) {
int32_t val;
if (img_ptr[i] <= INT32_MAX)
val = static_cast<int32_t>(img_ptr[i]);
else
val = INT32_MAX;
uint32_t mask_val = 0;
if (has_input_mask)
mask_val = mask[i];
if ((mask_val & (
(1<<PixelMask::ModuleGapPixelBit)
| (1<<PixelMask::ChipGapPixelBit)
| (1<<PixelMask::ModuleEdgePixelBit))) != 0) {
image[i] = GAP_PXL_VALUE;
} else if ((mask_val != 0) || (img_ptr[i] == special_value)) {
image[i] = ERROR_PXL_VALUE;
error_pixel.emplace(static_cast<int64_t>(i));
} else if (val >= sat_value) {
image[i] = SATURATED_PXL_VALUE;
saturated_pixel.emplace(static_cast<int64_t>(i));
} else {
image[i] = val;
if (!has_valid) {
has_valid = true;
valid_min = val;
valid_max = val;
} else {
valid_min = std::min(valid_min, val);
valid_max = std::max(valid_max, val);
}
valid_count++;
count_histogram.Add(val);
top_pixels_acc.Add(val, static_cast<int32_t>(i));
}
}
auto_foreground = count_histogram.Percentile(auto_foreground_range).value_or(10);
// Export top pixels (already sorted descending) into the existing vector interface
for (int i = 0; i < top_pixels_acc.Size(); i++) {
const auto &e = top_pixels_acc[i];
top_pixels.emplace_back(e.value, e.index);
}
}
std::optional<std::pair<int32_t, int32_t>> JFJochReaderImage::ValidMinMax() const {
if (!has_valid)
return {};
return std::make_pair(valid_min, valid_max);
}
const std::vector<std::pair<int32_t, int32_t>> &JFJochReaderImage::GetTopPixels() const {
return top_pixels;
}
const DataMessage &JFJochReaderImage::ImageData() const {
return message;
}
DataMessage &JFJochReaderImage::ImageData() {
return message;
}
const std::vector<int32_t> &JFJochReaderImage::Image() const {
return image;
}
const std::unordered_set<int64_t> &JFJochReaderImage::SaturatedPixels() const {
return saturated_pixel;
}
const std::unordered_set<int64_t> &JFJochReaderImage::ErrorPixels() const {
return error_pixel;
}
const JFJochReaderDataset &JFJochReaderImage::Dataset() const {
if (!dataset)
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"Dataset not set");
return *dataset;
}
void JFJochReaderImage::AddImage(const JFJochReaderImage &other) {
if (other.Image().size() != image.size())
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"Mismatch in size");
message.indexing_result = false;
message.resolution_estimate = {};
message.bkg_estimate = {};
message.spots = {};
error_pixel.clear();
saturated_pixel.clear();
valid_count = 0;
has_valid = false;
top_pixels_acc.Clear();
top_pixels.clear();
top_pixels.reserve(top_pixels_acc.Capacity());
count_histogram.clear();
for (size_t i = 0; i < image.size(); i++) {
if (image[i] == GAP_PXL_VALUE || other.image[i] == GAP_PXL_VALUE) {
image[i] = GAP_PXL_VALUE;
} else if (image[i] == ERROR_PXL_VALUE || other.image[i] == ERROR_PXL_VALUE) {
image[i] = ERROR_PXL_VALUE;
error_pixel.emplace(static_cast<int64_t>(i));
} else if (image[i] == SATURATED_PXL_VALUE || other.image[i] == SATURATED_PXL_VALUE) {
image[i] = SATURATED_PXL_VALUE;
saturated_pixel.emplace(static_cast<int64_t>(i));
} else {
int64_t sum = static_cast<int64_t>(image[i]) + static_cast<int64_t>(other.image[i]);
if (sum <= INT32_MIN + 5) [[unlikely]] {
image[i] = ERROR_PXL_VALUE;
error_pixel.emplace(static_cast<int64_t>(i));
} else if (sum > dataset->experiment.GetSaturationLimit()) [[unlikely]] {
image[i] = SATURATED_PXL_VALUE;
saturated_pixel.emplace(static_cast<int64_t>(i));
} else {
const int32_t val = static_cast<int32_t>(sum);
image[i] = val;
if (!has_valid) {
has_valid = true;
valid_min = val;
valid_max = val;
} else {
valid_min = std::min(valid_min, val);
valid_max = std::max(valid_max, val);
}
valid_count++;
count_histogram.Add(val);
top_pixels_acc.Add(val, static_cast<int32_t>(i));
}
}
}
auto_foreground = count_histogram.Percentile(auto_foreground_range).value_or(10);
for (int i = 0; i < top_pixels_acc.Size(); i++) {
const auto &e = top_pixels_acc[i];
top_pixels.emplace_back(e.value, e.index);
}
}
std::vector<float> JFJochReaderImage::GetAzInt1D() const {
if (dataset->azimuthal_bins <= 1) {
return message.az_int_profile;
} else if (message.az_int_profile.size() == dataset->azimuthal_bins * dataset->q_bins
&& dataset->azimuthal_bins * dataset->q_bins > 0 ) {
std::vector<float> tmp(dataset->q_bins);
for (int i = 0; i < message.az_int_profile.size(); i++)
tmp[i % dataset->q_bins] += message.az_int_profile[i];
return tmp;
} else
return {};
}
std::vector<float> JFJochReaderImage::GetAzInt1D_BinToQ() const {
if (dataset->azimuthal_bins <= 1) {
return dataset->az_int_bin_to_q;
} else if (dataset->az_int_bin_to_q.size() == dataset->azimuthal_bins * dataset->q_bins
&& dataset->azimuthal_bins * dataset->q_bins > 0 ) {
std::vector<float> tmp(dataset->q_bins);
for (int i = 0; i < dataset->q_bins; i++)
tmp[i] = dataset->az_int_bin_to_q[i];
return tmp;
} else
return {};
}
std::shared_ptr<JFJochReaderDataset> JFJochReaderImage::CreateMutableDataset() {
std::shared_ptr<JFJochReaderDataset> new_dataset = std::make_shared<JFJochReaderDataset>(*dataset);
dataset = new_dataset;
return new_dataset;
}
int32_t JFJochReaderImage::GetAutoContrastValue() const {
return auto_foreground;
}
std::vector<float> JFJochReaderImage::GetHistogram() const {
return count_histogram.GetCount();
}