1. 背景知識

OPENCV（Open Source Computer Vision）被廣泛的使用在計(jì)算機(jī)視覺開發(fā)上。使用Vivado HLS視頻庫在zynq-7000全可編程soc上加速OPENCV 應(yīng)用的開發(fā)，將大大提升我們的計(jì)算機(jī)視覺開發(fā)。

圖1和圖2展示了如何使用opencv加速zynq-7000全可編程 soc的計(jì)算機(jī)視覺開發(fā)。

1> 使用Vivado HLS開發(fā)opencv的計(jì)算機(jī)視覺IP；

2> 將IP添加到SOC系統(tǒng)中

3> 驗(yàn)證和下板實(shí)驗(yàn)

本次重點(diǎn)為HLS的圖像讀入顯示，視頻讀入顯示，以及攝像頭的讀入顯示。

2. HLS 使用到的函數(shù)

enum

{

/* 8bit,color or not */

CV_LOAD_IMAGE_UNCHANGED =-1,//讀取圖像的原通道數(shù)

/* 8bit,gray */

CV_LOAD_IMAGE_GRAYSCALE =0,//讀取灰度圖片

/* ?,color */

CV_LOAD_IMAGE_COLOR =1,//讀取彩色圖片

/* anydepth, ? */

CV_LOAD_IMAGE_ANYDEPTH =2,//任意深度

/* ?,any color */

CV_LOAD_IMAGE_ANYCOLOR =4//任意顏色

};

/* loadimage from file

iscolor can be a combination of aboveflags where CV_LOAD_IMAGE_UNCHANGED

overrides the other flags

using CV_LOAD_IMAGE_ANYCOLOR alone isequivalent to CV_LOAD_IMAGE_UNCHANGED

unless CV_LOAD_IMAGE_ANYDEPTH is specifiedimages are converted to 8bit

*/

CVAPI(IplImage*) cvLoadImage(constchar*filename, int iscolor CV_DEFAULT(CV_LOAD_IMAGE_COLOR));

Filename 文件名

Iscolor 圖像的顏色和深度

使用方法：

IplImage*src = cvLoadImage(filename,CV_LOAD_IMAGE_GRAYSCALE);

其他函數(shù)可以采用點(diǎn)擊右鍵 open declaration查看。

Test.cpp 源碼：

#include"Test.h"

#include"hls_opencv.h"

usingnamespace cv;

int main (int argc, char**argv) {

/*

//方法1 cvLoadImage函數(shù)加載圖片

IplImage* src =cvLoadImage(INPUT_IMAGE,CV_LOAD_IMAGE_GRAYSCALE);

IplImage* dst =cvCreateImage(cvGetSize(src), src->depth, src->nChannels);//獲取原始圖像大小

AXI_STREAM src_axi, dst_axi;

IplImage2AXIvideo(src, src_axi);

AXIvideo2IplImage(src_axi, dst);

cvSaveImage(OUTPUT_IMAGE, dst);

cvShowImage( "result_1080p",dst);

cvReleaseImage(&src);

cvWaitKey();

*/

/*

//方法2 cvLoadImage函數(shù)加載圖片

Mat src_rgb = imread(INPUT_IMAGE,CV_LOAD_IMAGE_COLOR);//加載圖片并灰度顯示

IplImage src = src_rgb;

cvSaveImage(OUTPUT_IMAGE, &src);

cvShowImage("src",&src);

waitKey(0);

return 0;

*/

/*

//讀取視頻文件

IplImage *frame;

CvCapture *capture =cvCaptureFromAVI("1.avi");//獲取視頻數(shù)據(jù)

cvNamedWindow("AVI player",0);

while(true)

{

if(cvGrabFrame(capture))

{

frame = cvRetrieveFrame(capture);

cvShowImage("AVI player",frame);

if(cvWaitKey(10)>=0) break;

}

else

{

break;

}

}

cvReleaseCapture(&capture);

cvDestroyWindow("AVI player");

return 0;

*/

//攝像頭操作

IplImage *frame;

CvCapture *capture = cvCaptureFromCAM(1);//捕獲攝像頭數(shù)據(jù)0--筆記本自帶攝像頭 1--外部攝像頭

cvNamedWindow("AVIplayer",0);

while(true)

{

if(cvGrabFrame(capture))

{

frame = cvRetrieveFrame(capture);

cvShowImage("AVIplayer",frame);

if(cvWaitKey(10)>=0)break;

}

else

{

break;//沒有采集到視頻數(shù)據(jù)退出

}

}

cvReleaseCapture(&capture);

cvDestroyWindow("AVIplayer");

return 0;

}

Test.h源碼：

#ifndef_TOP_H_

#define_TOP_H_

#include"hls_video.h"

//maximum image size

#defineMAX_WIDTH 1920

#defineMAX_HEIGHT 1080

// I/OImage Settings

#defineINPUT_IMAGE "test_1080p.jpg"

#defineOUTPUT_IMAGE "result_1080p.bmp"

#defineOUTPUT_IMAGE_GOLDEN "result_1080p_golden.bmp"

//typedef video library core structures

typedef hls::stream> AXI_STREAM;

typedef hls::Scalar<3, unsignedchar> RGB_PIXEL;

typedef hls::Mat?RGB_IMAGE;

#endif

3. VIVADO HLS圖像獲取實(shí)驗(yàn)

對于工程的創(chuàng)建請參考《HLS入門一》

實(shí)驗(yàn)原圖1

//方法1cvLoadImage函數(shù)加載圖片

IplImage* src = cvLoadImage(INPUT_IMAGE,CV_LOAD_IMAGE_GRAYSCALE);

實(shí)驗(yàn)結(jié)果1

//讀取視頻文件

IplImage *frame;

CvCapture *capture = cvCaptureFromAVI("1.avi");//獲取視頻數(shù)據(jù)

cvNamedWindow("AVIplayer",0);