CUDA小白 - NPP(6) 图像处理 Geometry Transforms (1)_cuda resize

作者：盐析白兔 | 2024-04-16 04:37:56

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cuda resize

cuda小白
原始API链接 NPP

GPU架构近些年也有不少的变化，具体的可以参考别的博主的介绍，都比较详细。还有一些cuda中的专有名词的含义，可以参考《详解CUDA的Context、Stream、Warp、SM、SP、Kernel、Block、Grid》

常见的NppStatus，可以看这里。

Resize

图像尺寸的resize操作。

// 指定x和y的resize尺寸
NppStatus nppiResizeSqrPixel_8u_C3R(const Npp8u *pSrc,
									NppiSize oSrcSize,
									int nSrcStep,
									NppiRect oSrcROI,
									Npp8u *pDst,
									int nDstStep,
									NppiRect oDstROI,
									double nXFactor,
									double nYFactor,
									double nXShift,
									double nYShift,
									int eInterpolation);
// x和y的resize尺寸自动计算
NppStatus nppiResize_8u_C3R(const Npp8u *pSrc,
							int nSrcStep,
							NppiSize oSrcSize,
							NppiRect oSrcRectROI,
							Npp8u *pDst,
							int nDstStep,
							NppiSize oDstSize,
							NppiRect oDstRectROI,
							int eInterpolation);	
// 多batch的resize
// 涉及到一个新的数据类型，NppiResizeBatchCXR
NppStatus nppiResizeBatch_8u_C3R(NppiSize oSmallestSrcSize,
								 NppiRect oSrcRectROI,
								 NppiSize oSmallestDstSize,
								 NppiRect oDstRectROI,
								 int eInterpolation,
								 NppiResizeBatchCXR *pBatchList,
								 unsigned int nBatchSize);	
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code

#include <iostream>
#include <cuda_runtime.h>
#include <npp.h>
#include <opencv2/opencv.hpp>

#define CUDA_FREE(ptr) { if (ptr != nullptr) { cudaFree(ptr); ptr = nullptr; } }

int main() {
  std::string directory = "../";
  cv::Mat image_dog = cv::imread(directory + "dog.png");
  int image_width = image_dog.cols;
  int image_height = image_dog.rows;
  int image_size = image_width * image_height;

  // =============== device memory ===============
  // input
  uint8_t *in_image;
  cudaMalloc((void**)&in_image, image_size * 3 * sizeof(uint8_t));
  cudaMemcpy(in_image, image_dog.data, image_size * 3 * sizeof(uint8_t), cudaMemcpyHostToDevice);
  // output
  double scale_w = 1.0 / 4;
  double scale_h = 1.0 / 4;
  uint8_t *out_ptr1, *out_ptr2;
  int dst_width = image_width * scale_w;
  int dst_height = image_height * scale_h;
  cudaMalloc((void**)&out_ptr1, dst_width * dst_height * 3 * sizeof(uint8_t));  // 三通道
  cudaMalloc((void**)&out_ptr2, dst_width * dst_height * 3 * sizeof(uint8_t));  // 三通道

  // roi size
  NppiSize in_size, out_size;
  in_size.width = image_width;
  in_size.height = image_height;
  out_size.width = dst_width;
  out_size.height = dst_height;

  NppiRect rc1, rc2;
  rc1.x = 0;
  rc1.y = 0;
  rc1.width = image_width;
  rc1.height = image_height;
  rc2.x = 0;
  rc2.y = 0;
  rc2.width = dst_width;
  rc2.height = dst_height;

  cv::Mat out_image = cv::Mat::zeros(dst_height, dst_width, CV_8UC3);
  NppStatus status;
  // =============== nppiResizeSqrPixel_8u_C3R ===============
  // resize to half
  status = nppiResizeSqrPixel_8u_C3R(in_image, in_size, image_width * 3, rc1, out_ptr1, 
                                     dst_width * 3, rc2, scale_w, scale_h, 10.0, 50.0, 
                                     NPPI_INTER_LINEAR);
  if (status != NPP_SUCCESS) {
    std::cout << "[GPU] ERROR nppiResizeSqrPixel_8u_C3R failed, status = " << status << std::endl;
    return false;
  }
  cudaMemcpy(out_image.data, out_ptr1, dst_width * dst_height * 3, cudaMemcpyDeviceToHost);
  cv::imwrite(directory + "resize_sqr.jpg", out_image);

  // =============== nppiResize_8u_C3R ===============
  // resize to half
  status = nppiResize_8u_C3R(in_image, image_width * 3, in_size, rc1, out_ptr2, 
                             dst_width * 3, out_size, rc2, NPPI_INTER_LINEAR);
  if (status != NPP_SUCCESS) {
    std::cout << "[GPU] ERROR nppiResize_8u_C3R failed, status = " << status << std::endl;
    return false;
  }
  cudaMemcpy(out_image.data, out_ptr2, dst_width * dst_height * 3, cudaMemcpyDeviceToHost);
  cv::imwrite(directory + "resize.jpg", out_image);

  // free
  CUDA_FREE(in_image)
  CUDA_FREE(out_ptr1)
  CUDA_FREE(out_ptr2)
}
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make

cmake_minimum_required(VERSION 3.20)
project(test)

find_package(OpenCV REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})

find_package(CUDA REQUIRED)
include_directories(${CUDA_INCLUDE_DIRS})
file(GLOB CUDA_LIBS "/usr/local/cuda/lib64/*.so")

add_executable(test test.cpp)
target_link_libraries(test
                      ${OpenCV_LIBS}
                      ${CUDA_LIBS}
)
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result

请添加图片描述
注意：
1.resizesqr的接口支持x和y不同scale的resize操作，并且可以添加左上角的offset值（result中的x和y分别添加了10像素和50像素的offset）

Remap

重映射，remap实现功能与原始的Opencv的功能一致。

NppStatus nppiRemap_8u_C3R(const Npp8u *pSrc,
							NppiSize oSrcSize,
							int nSrcStep,
							NppiRect oSrcROI,
							const Npp32f *pXMap,
							int nXMapStep,
							const Npp32f *pYMap,
							int nYMapStep,
							Npp8u *pDst,
							int nDstStep,
							NppiSize oDstSizeROI,
							int eInterpolation);
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code

#include <iostream>
#include <cuda_runtime.h>
#include <npp.h>
#include <opencv2/opencv.hpp>

#define CUDA_FREE(ptr) { if (ptr != nullptr) { cudaFree(ptr); ptr = nullptr; } }

int main() {
  std::string directory = "../";
  cv::Mat image_dog = cv::imread(directory + "dog.png");
  int image_width = image_dog.cols;
  int image_height = image_dog.rows;
  int image_size = image_width * image_height;

  // =============== device memory ===============
  // input
  uint8_t *in_image;
  cudaMalloc((void**)&in_image, image_size * 3 * sizeof(uint8_t));
  cudaMemcpy(in_image, image_dog.data, image_size * 3 * sizeof(uint8_t), cudaMemcpyHostToDevice);

  cv::Mat mat_mapx = cv::Mat::zeros(image_height, image_width, CV_32FC1);
  cv::Mat mat_mapy = cv::Mat::zeros(image_height, image_width, CV_32FC1);
  for (int i = 0; i < image_height; ++i) {
    for (int j = 0; j < image_width; ++j) {
      mat_mapx.at<float>(i, j) = (float)j;
      mat_mapy.at<float>(i, j) = (float)(image_height - i - 1);
    }
  }

  float *mapx, *mapy;
  cudaMalloc((void**)&mapx, image_size * sizeof(float));
  cudaMalloc((void**)&mapy, image_size * sizeof(float));
  cudaMemcpy(mapx, mat_mapx.data, image_size * sizeof(float), cudaMemcpyHostToDevice);
  cudaMemcpy(mapy, mat_mapy.data, image_size * sizeof(float), cudaMemcpyHostToDevice);

  // output
  uint8_t *out_ptr1;
  cudaMalloc((void**)&out_ptr1, image_size * 3 * sizeof(uint8_t));  // 三通道

  // size
  NppiSize in_size, out_size;
  in_size.width = image_width;
  in_size.height = image_height;
  out_size.width = image_width;
  out_size.height = image_height;

  NppiRect rc1;
  rc1.x = 0;
  rc1.y = 0;
  rc1.width = image_width;
  rc1.height = image_height;

  cv::Mat out_image = cv::Mat::zeros(image_height, image_width, CV_8UC3);
  NppStatus status;
  // =============== nppiResizeSqrPixel_8u_C3R ===============
  // resize to half
  status = nppiRemap_8u_C3R(in_image, in_size, image_width * 3, rc1, mapx, 
                            image_width * sizeof(float), mapy, image_width * sizeof(float), 
                            out_ptr1, image_width * 3, out_size, NPPI_INTER_LINEAR);
  if (status != NPP_SUCCESS) {
    std::cout << "[GPU] ERROR nppiRemap_8u_C3R failed, status = " << status << std::endl;
    return false;
  }
  cudaMemcpy(out_image.data, out_ptr1, image_size* 3, cudaMemcpyDeviceToHost);
  cv::imwrite(directory + "remap.jpg", out_image);

  // free
  CUDA_FREE(in_image)
  CUDA_FREE(mapx)
  CUDA_FREE(mapy)
  CUDA_FREE(out_ptr1)
}
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make

cmake_minimum_required(VERSION 3.20)
project(test)

find_package(OpenCV REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})

find_package(CUDA REQUIRED)
include_directories(${CUDA_INCLUDE_DIRS})
file(GLOB CUDA_LIBS "/usr/local/cuda/lib64/*.so")

add_executable(test test.cpp)
target_link_libraries(test
                      ${OpenCV_LIBS}
                      ${CUDA_LIBS}
)
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result

请添加图片描述
注意点：

mapx和mapy的数据类型是NPP32f(float)类型，因此在指定x和y的step的时候需要惩乘上float的字节数，不然出来的结果不对。

Rotate

旋转，该模块除了直接提供旋转的接口，还同步提供了根据角度和品阿姨计算旋转矩阵的接口

// 除了当前接口，还提供了一个返回四元素的接口
NppStatus nppiGetRotateBound(NppiRect oSrcROI,
							 double aBoundingBox[2][2],
							 double nAngle,
							 double nShiftX,
							 double nShiftY);
// 旋转
NppStatus nppiRotate_8u_C3R(const Npp8u *pSrc,
							NppiSize oSrcSize,
							int nSrcStep,
							NppiRect oSrcROI,
							Npp8u *pDst,
							int nDstStep,
							NppiRect oDstROI,
							double nAngle,
							double nShiftX,
							double nShiftY,
							int eInterpolation);
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code

#include <iostream>
#include <cuda_runtime.h>
#include <npp.h>
#include <opencv2/opencv.hpp>

#define CUDA_FREE(ptr) { if (ptr != nullptr) { cudaFree(ptr); ptr = nullptr; } }

int main() {
  std::string directory = "../";
  cv::Mat image_dog = cv::imread(directory + "dog.png");
  int image_width = image_dog.cols;
  int image_height = image_dog.rows;
  int image_size = image_width * image_height;

  // =============== device memory ===============
  // input
  uint8_t *in_image;
  cudaMalloc((void**)&in_image, image_size * 3 * sizeof(uint8_t));
  cudaMemcpy(in_image, image_dog.data, image_size * 3 * sizeof(uint8_t), cudaMemcpyHostToDevice);

  // output
  uint8_t *out_ptr1;
  cudaMalloc((void**)&out_ptr1, image_size * 3 * sizeof(uint8_t));  // 三通道

  // size
  NppiSize in_size, out_size;
  in_size.width = image_width;
  in_size.height = image_height;
  out_size.width = image_width;
  out_size.height = image_height;

  NppiRect rc1;
  rc1.x = 0;
  rc1.y = 0;
  rc1.width = image_width;
  rc1.height = image_height;

  cv::Mat out_image = cv::Mat::zeros(image_height, image_width, CV_8UC3);
  NppStatus status;
  // =============== nppiResizeSqrPixel_8u_C3R ===============
  // resize to half
  double angle = 30.0;
  double shift_x = image_width / 4;
  double shift_y = image_height / 4;
  status = nppiRotate_8u_C3R(in_image, in_size, image_width * 3, rc1, out_ptr1, image_width * 3, 
                             rc1, angle, shift_x, shift_y, NPPI_INTER_LINEAR);
  if (status != NPP_SUCCESS) {
    std::cout << "[GPU] ERROR nppiRemap_8u_C3R failed, status = " << status << std::endl;
    return false;
  }
  cudaMemcpy(out_image.data, out_ptr1, image_size* 3, cudaMemcpyDeviceToHost);
  cv::imwrite(directory + "rotate.jpg", out_image);

  // free
  CUDA_FREE(in_image)
  CUDA_FREE(out_ptr1)
}
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make

cmake_minimum_required(VERSION 3.20)
project(test)

find_package(OpenCV REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})

find_package(CUDA REQUIRED)
include_directories(${CUDA_INCLUDE_DIRS})
file(GLOB CUDA_LIBS "/usr/local/cuda/lib64/*.so")

add_executable(test test.cpp)
target_link_libraries(test
                      ${OpenCV_LIBS}
                      ${CUDA_LIBS}
)
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result

请添加图片描述

Mirror

主要是用于将图像用于镜像操作。

enum NppiAxis {
	NPP_HORIZONTAL_AXIS,
	NPP_VERTICAL_AXIS,
	NPP_BOTH_AXIS
};
// 新增枚举，用于表示镜像的轴
NppStatus nppiMirror_8u_C3R(const Npp8u *pSrc,
							int nSrcStep,
							Npp8u *pDst,
							int nDstStep,
							NppiSize oROI,
							NppiAxis flip);	
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code

#include <iostream>
#include <cuda_runtime.h>
#include <npp.h>
#include <opencv2/opencv.hpp>

#define CUDA_FREE(ptr) { if (ptr != nullptr) { cudaFree(ptr); ptr = nullptr; } }

int main() {
  std::string directory = "../";
  cv::Mat image_dog = cv::imread(directory + "dog.png");
  int image_width = image_dog.cols;
  int image_height = image_dog.rows;
  int image_size = image_width * image_height;

  // =============== device memory ===============
  // input
  uint8_t *in_image;
  cudaMalloc((void**)&in_image, image_size * 3 * sizeof(uint8_t));
  cudaMemcpy(in_image, image_dog.data, image_size * 3 * sizeof(uint8_t), cudaMemcpyHostToDevice);

  // output
  uint8_t *out_ptr1;
  cudaMalloc((void**)&out_ptr1, image_size * 3 * sizeof(uint8_t));  // 三通道

  NppiSize in_size;
  in_size.width = image_width;
  in_size.height = image_height;

  cv::Mat out_image = cv::Mat::zeros(image_height, image_width, CV_8UC3);
  NppStatus status;
  // =============== nppiMirror_8u_C3R ===============
  status = nppiMirror_8u_C3R(in_image, image_width * 3, out_ptr1, image_width * 3, 
                             in_size, NPP_HORIZONTAL_AXIS);
  if (status != NPP_SUCCESS) {
    std::cout << "[GPU] ERROR nppiMirror_8u_C3R failed, status = " << status << std::endl;
    return false;
  }
  cudaMemcpy(out_image.data, out_ptr1, image_size* 3, cudaMemcpyDeviceToHost);
  cv::imwrite(directory + "mirror_horizontal.jpg", out_image);

  // =============== nppiMirror_8u_C3R ===============
  status = nppiMirror_8u_C3R(in_image, image_width * 3, out_ptr1, image_width * 3, 
                             in_size, NPP_VERTICAL_AXIS);
  if (status != NPP_SUCCESS) {
    std::cout << "[GPU] ERROR nppiMirror_8u_C3R failed, status = " << status << std::endl;
    return false;
  }
  cudaMemcpy(out_image.data, out_ptr1, image_size* 3, cudaMemcpyDeviceToHost);
  cv::imwrite(directory + "mirror_vertical.jpg", out_image);

  // =============== nppiMirror_8u_C3R ===============
  status = nppiMirror_8u_C3R(in_image, image_width * 3, out_ptr1, image_width * 3, 
                             in_size, NPP_BOTH_AXIS);
  if (status != NPP_SUCCESS) {
    std::cout << "[GPU] ERROR nppiMirror_8u_C3R failed, status = " << status << std::endl;
    return false;
  }
  cudaMemcpy(out_image.data, out_ptr1, image_size* 3, cudaMemcpyDeviceToHost);
  cv::imwrite(directory + "mirror_both.jpg", out_image);

  // free
  CUDA_FREE(in_image)
  CUDA_FREE(out_ptr1)
}
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make

cmake_minimum_required(VERSION 3.20)
project(test)

find_package(OpenCV REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})

find_package(CUDA REQUIRED)
include_directories(${CUDA_INCLUDE_DIRS})
file(GLOB CUDA_LIBS "/usr/local/cuda/lib64/*.so")

add_executable(test test.cpp)
target_link_libraries(test
                      ${OpenCV_LIBS}
                      ${CUDA_LIBS}
)
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result

请添加图片描述

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