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https://github.com/slsdetectorgroup/aare.git
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save work and start templating file with detector
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@ -2,25 +2,21 @@
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#include <iostream>
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template <class DataType>
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Frame<DataType>::Frame(std::byte* bytes, ssize_t rows, ssize_t cols)
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IFrame::IFrame(std::byte* bytes, ssize_t rows, ssize_t cols, ssize_t bitdepth)
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{
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this->rows = rows;
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this->cols = cols;
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data = new DataType[rows * cols];
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std::memcpy(data, bytes, sizeof(DataType) * rows * cols);
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data = new std::byte[rows * cols*bitdepth/8];
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std::memcpy(data, bytes, bitdepth/8 * rows * cols);
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}
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template <class DataType>
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DataType Frame<DataType>::get(int row, int col) {
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std::byte* IFrame::get(int row, int col) {
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if (row < 0 || row >= rows || col < 0 || col >= cols) {
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std::cerr << "Invalid row or column index" << std::endl;
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return 0;
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}
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return data[row * cols + col];
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return data+(row * cols + col)*bitdepth/8;
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}
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template class Frame<uint16_t>;
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template class Frame<uint32_t>;
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@ -7,21 +7,30 @@
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#include "defs.hpp"
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/**
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* @brief Frame class to represent a single frame of data
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* model class
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* should be able to work with streams coming from files or network
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*/
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template <class DataType>
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class Frame {
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class IFrame {
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DataType* data{nullptr};
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std::byte* data{nullptr};
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ssize_t rows{};
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ssize_t cols{};
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ssize_t bitdepth{};
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public:
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Frame(std::byte* fp, ssize_t rows, ssize_t cols);
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DataType get(int row, int col);
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~Frame(){
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IFrame(std::byte* fp, ssize_t rows, ssize_t cols, ssize_t bitdepth);
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std::byte* get(int row, int col);
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~IFrame(){
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delete[] data;
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}
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};
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template <class DataType> class Frame: public IFrame {
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public:
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Frame(std::byte* fp, ssize_t rows, ssize_t cols):IFrame(fp, rows, cols, sizeof(DataType)){}
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DataType get(int row, int col){
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return *((DataType*) IFrame::get(row, col));
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}
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};
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