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53 lines
1.4 KiB
C++
53 lines
1.4 KiB
C++
#pragma once
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#include "aare/NDView.hpp"
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#include "aare/defs.hpp"
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#include <cstddef>
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#include <cstdint>
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#include <memory>
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#include <vector>
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#include <sys/types.h>
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#include <vector>
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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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class Frame {
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ssize_t m_rows;
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ssize_t m_cols;
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ssize_t m_bitdepth;
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std::byte *m_data;
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public:
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Frame(ssize_t rows, ssize_t cols, ssize_t m_bitdepth);
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Frame(std::byte *fp, ssize_t rows, ssize_t cols, ssize_t m_bitdepth);
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std::byte *get(int row, int col);
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template <typename T> void set(int row, int col, T data);
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// std::vector<std::vector<DataType>> get_array();
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ssize_t rows() const { return m_rows; }
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ssize_t cols() const { return m_cols; }
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ssize_t bitdepth() const { return m_bitdepth; }
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std::byte *_get_data() { return m_data; }
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Frame &operator=(Frame &other) {
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m_rows = other.rows();
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m_cols = other.cols();
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m_bitdepth = other.bitdepth();
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m_data = new std::byte[m_rows * m_cols * m_bitdepth / 8];
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std::memcpy(m_data, other.m_data, m_rows * m_cols * m_bitdepth / 8);
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return *this;
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}
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template <typename T>
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NDView<T> view() {
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std::vector<ssize_t> shape = {m_rows, m_cols};
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T* data = reinterpret_cast<T *>(m_data);
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return NDView<T>(data, shape);
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}
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~Frame() { delete[] m_data; }
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};
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