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https://github.com/slsdetectorgroup/aare.git
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108 lines
4.3 KiB
C++
108 lines
4.3 KiB
C++
#include "aare/CtbRawFile.hpp"
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#include "aare/File.hpp"
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#include "aare/Frame.hpp"
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#include "aare/RawFile.hpp"
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#include "aare/RawMasterFile.hpp"
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#include "aare/RawSubFile.hpp"
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#include "aare/defs.hpp"
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// #include "aare/fClusterFileV2.hpp"
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#include <cstdint>
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#include <filesystem>
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#include <pybind11/iostream.h>
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#include <pybind11/numpy.h>
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#include <pybind11/pybind11.h>
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#include <pybind11/stl.h>
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#include <pybind11/stl/filesystem.h>
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#include <string>
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namespace py = pybind11;
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using namespace ::aare;
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void define_raw_file_io_bindings(py::module &m) {
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py::class_<RawFile>(m, "RawFile")
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.def(py::init<const std::filesystem::path &>())
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.def("read_frame",
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[](RawFile &self) {
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py::array image;
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std::vector<ssize_t> shape;
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shape.reserve(2);
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shape.push_back(self.rows());
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shape.push_back(self.cols());
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// return headers from all subfiles
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py::array_t<DetectorHeader> header(self.n_modules());
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const uint8_t item_size = self.bytes_per_pixel();
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if (item_size == 1) {
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image = py::array_t<uint8_t>(shape);
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} else if (item_size == 2) {
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image = py::array_t<uint16_t>(shape);
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} else if (item_size == 4) {
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image = py::array_t<uint32_t>(shape);
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}
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self.read_into(
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reinterpret_cast<std::byte *>(image.mutable_data()),
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header.mutable_data());
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return py::make_tuple(header, image);
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})
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.def(
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"read_n",
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[](RawFile &self, size_t n_frames) {
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// adjust for actual frames left in the file
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n_frames =
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std::min(n_frames, self.total_frames() - self.tell());
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if (n_frames == 0) {
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throw std::runtime_error("No frames left in file");
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}
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std::vector<size_t> shape{n_frames, self.rows(), self.cols()};
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// return headers from all subfiles
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py::array_t<DetectorHeader> header;
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if (self.n_modules() == 1) {
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header = py::array_t<DetectorHeader>(n_frames);
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} else {
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header = py::array_t<DetectorHeader>(
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{self.n_modules_in_roi(), n_frames});
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}
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// py::array_t<DetectorHeader> header({self.n_mod(), n_frames});
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py::array image;
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const uint8_t item_size = self.bytes_per_pixel();
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if (item_size == 1) {
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image = py::array_t<uint8_t>(shape);
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} else if (item_size == 2) {
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image = py::array_t<uint16_t>(shape);
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} else if (item_size == 4) {
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image = py::array_t<uint32_t>(shape);
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}
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self.read_into(
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reinterpret_cast<std::byte *>(image.mutable_data()),
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n_frames, header.mutable_data());
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return py::make_tuple(header, image);
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},
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R"(
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Read n frames from the file.
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)")
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.def("frame_number", &RawFile::frame_number)
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.def_property_readonly("bytes_per_frame", &RawFile::bytes_per_frame)
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.def_property_readonly("pixels_per_frame", &RawFile::pixels_per_frame)
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.def_property_readonly("bytes_per_pixel", &RawFile::bytes_per_pixel)
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.def("seek", &RawFile::seek, R"(
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Seek to a frame index in file.
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)")
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.def("tell", &RawFile::tell, R"(
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Return the current frame number.)")
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.def_property_readonly("total_frames", &RawFile::total_frames)
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.def_property_readonly("rows", &RawFile::rows)
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.def_property_readonly("cols", &RawFile::cols)
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.def_property_readonly("bitdepth", &RawFile::bitdepth)
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.def_property_readonly("geometry", &RawFile::geometry)
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.def_property_readonly("detector_type", &RawFile::detector_type)
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.def_property_readonly("master", &RawFile::master)
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.def_property_readonly("n_modules", &RawFile::n_modules)
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.def_property_readonly("n_modules_in_roi", &RawFile::n_modules_in_roi);
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} |