RGB/BGR --> HSV
File:
src/image.hppLines 3081–3112 /**
* @brief Converts a RGB/BGR input image to HSV in place.
*
* Assuming an RGB input image would look like in NCHW format:
*
* ```
* ┌----------------------------...-┐ ┌----------------------------...-┐
* |B, B, B, B, B, B, ... channel 2 | |V, V, V, V, V, V, ... channel 2 |
* | ┌---------------------------...-┐ | ┌---------------------------...-┐
* | |G, G, G, G, G, G, ...channel 1 | | |S, S, S, S, S, S, ...channel 1 |
* | | ┌---------------------------...-┐ | | ┌---------------------------...-┐
* | | |R, R, R, R, R, R, ...channel 0 | => | | |H, H, H, H, H, H, ...channel 0 |
* | | |R, R, R, R, R, R, ... | | | |H, H, H, H, H, H, ... |
* └ | |---------------------------...-| └ | |---------------------------...-|
* | |. | | |. |
* └ |. | └ |. |
* |. | |. |
* └---------------------------...-┘ └---------------------------...-┘
* ```
*
* The ouput is HSV channels for the input image. 8bit color depth is assumed.
* @tparam convertMethod depending upon conversion HSV TO RGB , Or BGR TO HSV
* @tparam DdrInOutShape The in/out image shape
* @tparam OcmAllocatorType Type of OCM memory allocator
* @param InputImage The input image tensor. Input is in (r,g,b) or (b,g,r) format.
* @param OutputImage The output image tensor. Output is in (h, s, v) format (0 < hue < 180 as in CV2).
* @param ocmMemAlloc OCM memory allocator
* @param convertMethod Options are ColorConversionMethod::BGR_TO_HSV or ColorConversionMethod::RGB_TO_HSV.
*/
// clang-format on
template <ColorConversionMethod convertMethod, typename DdrInOutShape, typename OcmAllocatorType>
INLINE void colorConvert(DdrInOutShape& InputImage, DdrInOutShape& OutputImage, OcmAllocatorType& ocmMemAlloc) {
Grayscale
File:
/src/image.hppLines 2832–2851 /**
* @brief Grayscale color conversion that accepts input in planar format, i.e. `(1, 1, height, width)`.
*
* @tparam OcmInputImageShape Tensor with `uint8` type and shape `(1, 3, height, width)`.
* @tparam OcmOutputImageShape Tensor with `uint8` type and shape `(1, 1, height, width)`.
* @param ocmInput Input tensor.
* @param ocmOut Output tensor.
* @param fxChannel1Weight Grayscale weight for first chanel (defaults assume BGR order).
* @param fxChannel2Weight Grayscale weight for second chanel (defaults assume BGR order).
* @param fxChannel3Weight Grayscale weight for third chanel (defaults assume BGR order).
*/
template <
typename OcmInputImageShape,
typename OcmOutputImageShape,
typename std::enable_if_t<OcmInputImageShape::NUM_COLS == OcmOutputImageShape::NUM_COLS, std::int32_t> = 0>
void grayscale(OcmInputImageShape& ocmInput,
OcmOutputImageShape& ocmOut,
FixedPoint16<12> fxChannel1Weight = 0.114,
FixedPoint16<12> fxChannel2Weight = 0.587,
FixedPoint16<12> fxChannel3Weight = 0.299) {
File:
/src/image.hppLines 2868–2890 /**
* @brief Grayscale color conversion that accepts input in interleaved format, i.e. `(1, 1, height, 3 * width)`.
*
* Channels are packed in width.
*
* @tparam OcmInputImageShape Tensor with `uint8` type and shape `(1, 1, height, 3 * width)`.
* @tparam OcmOutputImageShape Tensor with `uint8` type and shape `(1, 1, height, width)`.
* @param ocmInputImage Input tensor.
* @param ocmOutputImage Output tensor.
* @param fxChannel1Weight Grayscale weight for first chanel (defaults assume BGR order).
* @param fxChannel2Weight Grayscale weight for second chanel (defaults assume BGR order).
* @param fxChannel3Weight Grayscale weight for third chanel (defaults assume BGR order).
*/
// clang-format on
template <
typename OcmInputImageShape,
typename OcmOutputImageShape,
typename std::enable_if_t<OcmInputImageShape::NUM_COLS == OcmOutputImageShape::NUM_COLS * 3, std::int32_t> = 0>
void grayscale(OcmInputImageShape& ocmInputImage,
OcmOutputImageShape& ocmOutputImage,
FixedPoint16<12> fxChannel1Weight = 0.114,
FixedPoint16<12> fxChannel2Weight = 0.587,
FixedPoint16<12> fxChannel3Weight = 0.299) {
