119 lines
3.6 KiB
C++
119 lines
3.6 KiB
C++
// Copyright (2019-2024) Paul Scherrer Institute
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#include "ImageFormatSettings.h"
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#include "JFJochException.h"
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#include "Definitions.h"
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#define check_max(param, val, max) if ((val) > (max)) throw JFJochException(JFJochExceptionCategory::InputParameterAboveMax, param)
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#define check_min(param, val, min) if ((val) < (min)) throw JFJochException(JFJochExceptionCategory::InputParameterBelowMin, param)
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#define check_finite(param, val) if (!std::isfinite(val)) throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, param)
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ImageFormatSettings::ImageFormatSettings() {
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jungfrau_conv_to_photon_counts = true;
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auto_summation = true;
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geometry_transformation = true;
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mask_chip_edges = true;
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mask_module_edges = true;
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}
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ImageFormatSettings &ImageFormatSettings::GeometryTransformed(bool input) {
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geometry_transformation = input;
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return *this;
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}
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ImageFormatSettings &ImageFormatSettings::AutoSummation(bool input) {
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auto_summation = input;
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return *this;
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}
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ImageFormatSettings &ImageFormatSettings::PixelSigned(const std::optional<bool> &input) {
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pixel_signed = input;
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return *this;
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}
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ImageFormatSettings &ImageFormatSettings::JungfrauConvFactor_keV(const std::optional<float> &input) {
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if (!input.has_value() || (input.value() == 0.0f))
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jungfrau_conversion_factor_keV = {};
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else {
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check_min("JUNGFRAU conversion factor (keV)", input.value(), MIN_ENERGY);
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check_max("JUNGFRAU conversion factor (keV)", input.value(), MAX_ENERGY);
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jungfrau_conversion_factor_keV = input;
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}
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return *this;
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}
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ImageFormatSettings &ImageFormatSettings::BitDepthImage(const std::optional <int64_t> &input) {
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if (!input.has_value() || (input.value() == 0))
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bit_depth_image = {};
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else if ((input.value() == 16) || (input.value() == 32))
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bit_depth_image = input.value();
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else
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throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, "Bit depth of 16, 32 or 0 (auto) allowed");
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return *this;
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}
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bool ImageFormatSettings::IsGeometryTransformed() const {
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return geometry_transformation;
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}
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bool ImageFormatSettings::IsAutoSummation() const {
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return auto_summation;
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}
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std::optional<bool> ImageFormatSettings::IsPixelSigned() const {
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return pixel_signed;
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}
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std::optional<float> ImageFormatSettings::GetJungfrauConvFactor_keV() const {
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return jungfrau_conversion_factor_keV;
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}
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std::optional <int64_t> ImageFormatSettings::GetBitDepthImage() const {
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return bit_depth_image;
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}
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void ImageFormatSettings::Raw() {
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jungfrau_conv_to_photon_counts = false;
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auto_summation = false;
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geometry_transformation = false;
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pixel_signed = false;
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bit_depth_image = 16;
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jungfrau_conversion_factor_keV = {};
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}
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void ImageFormatSettings::Conv() {
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jungfrau_conv_to_photon_counts = true;
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auto_summation = true;
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geometry_transformation = true;
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pixel_signed = {};
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bit_depth_image = {};
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jungfrau_conversion_factor_keV = {};
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}
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bool ImageFormatSettings::IsJungfrauConversion() const {
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return jungfrau_conv_to_photon_counts;
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}
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ImageFormatSettings &ImageFormatSettings::JungfrauConversion(bool input) {
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jungfrau_conv_to_photon_counts = input;
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return *this;
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}
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ImageFormatSettings &ImageFormatSettings::MaskModuleEdges(bool input) {
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mask_module_edges = input;
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return *this;
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}
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ImageFormatSettings &ImageFormatSettings::MaskChipEdges(bool input) {
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mask_chip_edges = input;
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return *this;
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}
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bool ImageFormatSettings::IsMaskModuleEdges() const {
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return mask_module_edges;
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}
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bool ImageFormatSettings::IsMaskChipEdges() const {
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return mask_chip_edges;
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}
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