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cudaColorspace.h
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/*
* Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
* THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*/
#ifndef __CUDA_COLORSPACE_H__
#define __CUDA_COLORSPACE_H__
#include "cudaUtility.h"
#include "imageFormat.h"
/**
* Convert between two image formats using the GPU.
*
* This function supports various conversions between RGB/RGBA, BGR/BGRA, Bayer, grayscale, and YUV.
* In addition to converting between the previously listed colorspaces, you can also change the
* number of channels or data format (for example, `IMAGE_RGB8` to `IMAGE_RGBA32F`).
*
* For the list of image formats available, @see imageFormat enum.
*
* Limitations and unsupported conversions include:
*
* - The YUV formats don't support BGR/BGRA or grayscale (RGB/RGBA only)
* - YUV NV12, YUYV, YVYU, and UYVY can only be converted to RGB/RGBA (not from)
* - Bayer formats can only be converted to RGB8 (`uchar3`) and RGBA8 (`uchar4`)
*
* @param input CUDA device pointer to the input image
* @param inputFormat format enum of the input image
* @param output CUDA device pointer to the input image
* @param outputFormat format enum of the output image
* @param width width of the input and output images (in pixels)
* @param height height of the input and output images (in pixels)
* @param pixel_range for floating-point to 8-bit conversions, specifies the range of pixel intensities
* in the input image that get normalized to `[0,255]`. The default input range is
* `[0,255]`, and as such no normalization occurs. Other common pixel ranges include
* `[0,1]` and `[-1,1]`, and these pixel values would be re-scaled for `[0,255]` output.
* Note that this parameter is only used for float-to-uchar conversions where the data
* is downcast (for example, `IMAGE_RGB32F` to `IMAGE_RGB8`).
* @param stream the optional CUDA stream to enqueue the kernel on.
* @ingroup colorspace
*/
cudaError_t cudaConvertColor( void* input, imageFormat inputFormat,
void* output, imageFormat outputFormat,
size_t width, size_t height,
const float2& pixel_range=make_float2(0,255),
cudaStream_t stream=0 );
/**
* Convert between two image formats using the GPU.
*
* This function supports various conversions between RGB/RGBA, BGR/BGRA, Bayer, grayscale, and YUV.
* In addition to converting between the previously listed colorspaces, you can also change the
* number of channels or data format (for example, `IMAGE_RGB8` to `IMAGE_RGBA32F`).
*
* For the list of image formats available, @see imageFormat enum.
*
* Limitations and unsupported conversions include:
*
* - The YUV formats don't support BGR/BGRA or grayscale (RGB/RGBA only)
* - YUV NV12, YUYV, YVYU, and UYVY can only be converted to RGB/RGBA (not from)
* - Bayer formats can only be converted to RGB8 (`uchar3`) and RGBA8 (`uchar4`)
*
* @param input CUDA device pointer to the input image
* @param inputFormat format enum of the input image
* @param output CUDA device pointer to the input image
* @param outputFormat format enum of the output image
* @param width width of the input and output images (in pixels)
* @param height height of the input and output images (in pixels)
* @param stream the CUDA stream to enqueue the kernel on.
* @ingroup colorspace
*/
cudaError_t cudaConvertColor( void* input, imageFormat inputFormat,
void* output, imageFormat outputFormat,
size_t width, size_t height,
cudaStream_t stream );
/**
* Convert between to image formats using the GPU.
*
* This templated overload of cudaConvertColor() supports uchar3 (`IMAGE_RGB8`),
* uchar4 (`IMAGE_RGBA8`), float3 (`IMAGE_RGB32F`), and float4 (`IMAGE_RGBA32F`).
*
* To convert to/from other formats such as YUV, grayscale, and BGR/BGRA, see
* the other version of cudaConvertColor() that uses explicity imageFormat enums.
*
* @param input CUDA device pointer to the input image
* @param output CUDA device pointer to the input image
* @param width width of the input and output images (in pixels)
* @param height height of the input and output images (in pixels)
* @param pixel_range for floating-point to 8-bit conversions, specifies the range of pixel intensities
* in the input image that get normalized to `[0,255]`. The default input range is
* `[0,255]`, and as such no normalization occurs. Other common pixel ranges include
* `[0,1]` and `[-1,1]`, and these pixel values would be re-scaled for `[0,255]` output.
* Note that this parameter is only used for float-to-uchar conversions where the data
* is downcast (for example, `IMAGE_RGB32F` to `IMAGE_RGB8`).
* @param stream the optional CUDA stream to enqueue the kernel on.
*
* @ingroup colorspace
*/
template<typename T_in, typename T_out>
cudaError_t cudaConvertColor( T_in* input, T_out* output,
size_t width, size_t height,
const float2& pixel_range=make_float2(0,255),
cudaStream_t stream=0)
{
return cudaConvertColor(input, imageFormatFromType<T_in>(), output, imageFormatFromType<T_out>(), width, height, pixel_range, stream);
}
#endif