DeltaCV

An open-source high performance library for image processing. including CPU optimization and GPU optimization. PRs are welcome.

For more details on DeltaCV ,please go to https://dasuda.top/category/#/DeltaCV.

•  Author: Haibo Wang
  
•  Email: [email protected]
•  Home Page: dasuda.top

1. Shared Memory

Dependencies

• Boost

Location

cpu/include/deltaCV/cpu/shm.hpp

Include

#include "deltaCV/cpu/shm.hpp"

For more details， see my blog;

2. SIMD

Dependencies

• OpenCV(This library dose not depend on OpenCV, but the input of the function is often type-cv::Mat)
• SSE
• AVX

Compile options

You need put these compile options in your CMakeLists.txt.

set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mavx2")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -march=haswell")

Samples

All samples are in cpu/examples/.

• [x] inRange
• [x] ycrcbWithSeg
• [x] weightedGrayWithSeg
• [x] grayBRWithSeg
• [x] grayBRWithSegStandard

Performance Table

Image Size: 1024 x 1280（H x W）

3. CUDA

Dependencies

• CUDA
• OpenCV

Samples

All samples are in gpu/examples/.

• [x] binarization
• [ ] colorSpace
• [ ] edgeDetection
• [ ] erode_dilate
• [ ] getHist
• [ ] equalizeHist
• [ ] blur

Performance Table

Image Size: 480 x 640（H x W）

Function List

Color space transformation

• RGB2GRAY(uchar3* dataIn,unsigned char* dataOut,int imgRows,int imgCols): in gpu/src/colorSpace.cu. Converting RGB images to gray-scale images.

• RGB2HSV(uchar3* dataIn,uchar3* dataOut,int imgRows,int imgCols,uchar3 minVal,uchar3 maxVal): in gpu/src/colorSpace.cu. Converting RGB images to HSV images， and using threshold segmentation to RGB images based on minVal and maxVal.

Binarization

• thresholdBinarization(unsigned char* dataIn,unsigned char* dataOut,short int imgRows,short int imgCols,unsigned char thresholdMin,unsigned char thresholdMax,unsigned char valMin,unsigned char valMax): in gpu/src/binarization.cu. Similar to OpenCV function threshold(), I designed 5 modes: THRESH_BINARY, THRESH_BINARY_INV, THRESH_TRUNC, THRESH_TOZERO, THRESH_TOZERO_INV.

/*
 * Compare 'threshold()' funciton in OpenCV
 * When:
 *      thresholdMin = thresholdMax and valMin = 0  ==> THRESH_BINARY
 *      thresholdMin = thresholdMax and valMax = 0  ==> THRESH_BINARY_INV
 *      thresholdMax = valMax and thresholdMin = 0  ==> THRESH_TRUNC
 *      thresholdMax = 255 and valMin = 0  ==> THRESH_TOZERO
 *      thresholdMin = 0 and valMax = 0  ==> THRESH_TOZERO_INV
 */

• ostu_gpu(unsigned char* dataIn,unsigned char* dataOut,unsigned int* hist,float* sum_Pi,float* sum_i_Pi,float* u_0,float* varance,int* thres,short int imgRows,short int imgCols): in gpu/src/binarization.cu. Binarization using ostu.

Edge Detection

• sobel(unsigned char* dataIn,unsigned char* dataOut,short int imgRows,short int imgCols): in gpu/src/edgeDetection.cu. Edge detection using sobel operator.

• scharr(unsigned char* dataIn,unsigned char* dataOut,short int imgRows,short int imgCols): in gpu/src/edgeDetection.cu. Edge detection using scharr operator.

Erode and Dilate

• erode(unsigned char* dataIn,unsigned char* dataOut,short int imgRows,short int imgCols,short int erodeElementRows,short int erodeElementCols): in gpu/src/erode_dilate.cu.

• dilate(unsigned char* dataIn,unsigned char* dataOut,short int imgRows,short int imgCols,short int dilateElementRows,short int dilateElementCols): in gpu/src/erode_dilate.cu.

Histogram

• getHist(unsigned char* dataIn, unsigned int* hist)： in gpu/src/getHist.cu.
• [wrapper]equalizeHist_gpu(unsigned char* dataIn,unsigned int* hist,unsigned int* sum_ni,unsigned char* dataOut,short int imgRows,short int imgCols,dim3 tPerBlock,dim3 bPerGrid)： in gpu/src/getHist.cu.(Unfinished)

Guassian Blur

• guassianBlur3_gpu(unsigned char* dataIn,unsigned char* dataOut,short int imgRows,short int imgCols,dim3 tPerBlock,dim3 bPerGrid): in gpu/src/blur.cu. Guassian blur with 3*3 kernel