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aare/include/aare/Frame.hpp
2025-06-10 16:09:06 +02:00

123 lines
3.7 KiB
C++

#pragma once
#include "aare/Dtype.hpp"
#include "aare/NDArray.hpp"
#include "aare/defs.hpp"
#include <cstddef>
#include <cstdint>
#include <memory>
#include <vector>
namespace aare {
/**
* @brief Frame class to represent a single frame of data. Not much more than a
* pointer and some info. Limited interface to accept frames from many sources.
*/
class Frame {
uint32_t m_rows;
uint32_t m_cols;
Dtype m_dtype;
std::byte *m_data;
// TODO! Add frame number?
public:
/**
* @brief Construct a new Frame
* @param rows number of rows
* @param cols number of columns
* @param dtype data type of the pixels
* @note the data is initialized to zero
*/
Frame(uint32_t rows, uint32_t cols, Dtype dtype);
/**
* @brief Construct a new Frame
* @param bytes pointer to the data to be copied into the frame
* @param rows number of rows
* @param cols number of columns
* @param dtype data type of the pixels
*/
Frame(const std::byte *bytes, uint32_t rows, uint32_t cols, Dtype dtype);
~Frame() { delete[] m_data; };
/** @warning Copy is disabled to ensure performance when passing
* frames around. Can discuss enabling it.
*
*/
Frame &operator=(const Frame &other) = delete;
Frame(const Frame &other) = delete;
// enable move
Frame &operator=(Frame &&other) noexcept;
Frame(Frame &&other) noexcept;
Frame clone() const; //<- Explicit copy
uint32_t rows() const;
uint32_t cols() const;
size_t bitdepth() const;
Dtype dtype() const;
uint64_t size() const;
size_t bytes() const;
std::byte *data() const;
/**
* @brief Get the pointer to the pixel at the given row and column
* @param row row index
* @param col column index
* @return pointer to the pixel
* @warning The user should cast the pointer to the appropriate type. Think
* twice if this is the function you want to use.
*/
std::byte *pixel_ptr(uint32_t row, uint32_t col) const;
/**
* @brief Set the pixel at the given row and column to the given value
* @tparam T type of the value
* @param row row index
* @param col column index
* @param data value to set
*/
template <typename T> void set(uint32_t row, uint32_t col, T data) {
assert(sizeof(T) == m_dtype.bytes());
if (row >= m_rows || col >= m_cols) {
throw std::out_of_range("Invalid row or column index");
}
std::memcpy(m_data + (row * m_cols + col) * m_dtype.bytes(), &data,
m_dtype.bytes());
}
template <typename T> T get(uint32_t row, uint32_t col) {
assert(sizeof(T) == m_dtype.bytes());
if (row >= m_rows || col >= m_cols) {
throw std::out_of_range("Invalid row or column index");
}
// TODO! add tests then reimplement using pixel_ptr
T data;
std::memcpy(&data, m_data + (row * m_cols + col) * m_dtype.bytes(),
m_dtype.bytes());
return data;
}
/**
* @brief Return an NDView of the frame. This is the preferred way to access
* data in the frame.
*
* @tparam T type of the pixels
* @return NDView<T, 2>
*/
template <typename T> NDView<T, 2> view() {
std::array<ssize_t, 2> shape = {static_cast<ssize_t>(m_rows),
static_cast<ssize_t>(m_cols)};
T *data = reinterpret_cast<T *>(m_data);
return NDView<T, 2>(data, shape);
}
/**
* @brief Copy the frame data into a new NDArray. This is a deep copy.
*/
template <typename T> NDArray<T> image() {
return NDArray<T>(this->view<T>());
}
};
} // namespace aare