极品飞车电影电影最新地址mhi!*极品飞车电影电影本月更新~~~~~mhi

你现在的位置:&&&&&&发首西班牙语歌曲---A Neansai Mhile Gra
发首西班牙语歌曲---A Neansai Mhile Gra
A Neansai Mhile Gra
by Cherish The Ladies
抱歉我不懂西班牙语,歌词也没有搜到(搜到了也不认得),这歌是高中时在《音乐天堂》上看到的,那时候只有磁带可听,过了好多年后网上也终于有下载了,贴来大家分享一下。
歌曲很温柔,但我记得当时书上说这歌是和战争有关的,好像是颂扬和鼓励自己国家的战士还是什么,具体内容只有等懂西语的大牛们来讲讲了,呵呵。
--------------------人山中挣扎 人海中搜索
乱到已不记得 当初你为何出发
前身早糟蹋 前境不可察
愿你记得你可掌握到得这一刹楼主管理员给此话题奖励了1分!
呼唤十八叔~~~
--------------------不要迷茫,不要悲伤,活在当下...
呵呵 who啊 懂西语的么?
--------------------人山中挣扎 人海中搜索
乱到已不记得 当初你为何出发
前身早糟蹋 前境不可察
愿你记得你可掌握到得这一刹
--------------------不要迷茫,不要悲伤,活在当下...
哇 崇拜ing~~
--------------------人山中挣扎 人海中搜索
乱到已不记得 当初你为何出发
前身早糟蹋 前境不可察
愿你记得你可掌握到得这一刹
AnonymousNancy, my love, beautiful woman without blemish.May luck and fortune accompany you.Your hands are whiter than the foam on the beachOr than the swan that swims on the Erne River.
Your eyes are more beautiful than a dewdropAnd your voice sounds prettier than harpstringsAnd if you don't run away with me, life will be overAnd because of you, they will bury me.
I hear the voices of many women everywhere Here, there and on the other side of the Erne RiverEven Cork with its ports and the city BallinasloeNancy is the most beautiful of all of them
Oh Mary and my God, wouldn't we live wellIf we could both be together?On a nice, peaceful afternoon, my beloved and IWhispering things to us on the deserted plateau.
Carry my letter to kind Nancy of the braidsAnd tell her how saddened I amTell her that I don't sleep at nightThat a sharp pain punctures my side
Tell it to her eyes, tell it to her hairTell it to her good and sensible moodTell it to her head and also to her sweet mouthTell her that she has managed to shorten my days.
--------------------
。。。。歌词写的好美呀,太谢谢你了!~
--------------------人山中挣扎 人海中搜索
乱到已不记得 当初你为何出发
前身早糟蹋 前境不可察
愿你记得你可掌握到得这一刹
Gan údar1. A Neansaí, 'mhíle grá, a bhruinneall 'tá gan smál.Go bhfeice mise'n t-ádh 'gus an séan ort.Ba ghile do dhá láimh ná cúr geal na tráNá'n eala 's í a' snámh ar an ?irne.
Is glaise liom do shúil ná braon beag den drúchtIs binne liomsa tú ná na téadaí'S mur' n-éalaí tusa liomsa titfidh mé i lionn dubh'Gus cuirfear insa chill 'do dhéidh mé.
2. Is iomaí sin guth mná a chluinimse 'ngach airdAbhus agus taobh thall den ?irneGo Corcaigh na gCuan 's go Béal Ath' na Sluaigh'Sí Neansaí 'thug bua ar a' méid sin
A Mhuire 'gus a Dhia, nárbh aoibhinn deas é'r saolDá mbeinnse agus í le chéile?Tráthnóna aoibhinn ciúin, ó mise 'gus mo rúnAg cogarnaíl ar uaigneas sléibhe.
3. Beir litir uaimse suas chuig Neansaí chaoin na gcuachIs aithris di gur buartha atá méAithris di arís nach gcodlaím féin aon oícheLe harraing atá trí mo thaobh deas
Aithris é dá súil, aithris é dá cúlAithris é dá méin mhaith chéillíAithris é dá ceann 's dá béilín atá binnGur ghiorraigh sí go cinnte mo laetha'.
--------------------
题目是什么意思啊?
--------------------人山中挣扎 人海中搜索
乱到已不记得 当初你为何出发
前身早糟蹋 前境不可察
愿你记得你可掌握到得这一刹
很好听的一首歌
--------------------我爱你只因岁月如梭
不再出现 不复记忆
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可用积分:25分《电影搞笑片段》第三期 - 第7区视频 - 爱拍原创现在的位置:
用OpenCV来检测目标移动的一段代码
由于以前做过类似的小项目,那时候目标移动并没有解决的很好,很多边界以及细节没有考虑,不过这里也有一个使用OpenCV的一些接口在做到目标检测的代码,是上的:
As asked many times about how to use openCV to detect body movements
or other object movements, i borrow an example from openCV installation
samples, which regards to motion detections particularly in motion
directions. Some relevant posts have been posted before ,
but to declare the use of openCV samples, this artical is posted. The
picture demonstrating above has clearly showed the detection results
which is, from left up to right down, just as the object moves, which is
actually my head and part of shoulder.
Though this example is far too simple to
put in practical use, this can be still useful for further applications
as long as the codes are improved, at least the detection rules are
remained. Here below is the list of source code which can be used
directly as a .cpp file, check it out:
#ifdef _CH_
#pragma package
#endif#ifndef _EiC
// motion templates sample code
#include “cv.h”
#include “highgui.h”
// various tracking parameters (in seconds)
const double MHI_DURATION = 1;
const double MAX_TIME_DELTA = 0.5;
const double MIN_TIME_DELTA = 0.05;
// number of cyclic frame buffer used for motion detection
// (should, probably, depend on FPS)
const int N = 4;
// ring image buffer
IplImage **buf = 0;
int last = 0;
// temporary images
IplImage *mhi = 0; // MHI
IplImage *orient = 0; // orientation
IplImage *mask = 0; // valid orientation mask
IplImage *segmask = 0; // motion segmentation map
CvMemStorage* storage = 0; // temporary storage
// parameters:
img – input video frame
dst – resultant motion picture
args – optional parameters
update_mhi( IplImage* img, IplImage* dst, int diff_threshold )
double timestamp = (double)clock()/CLOCKS_PER_SEC; // get current time in seconds
CvSize size = cvSize(img-&width,img-&height); // get current frame size
int i, idx1 = last, idx2;
CvRect comp_
// allocate images at the beginning or
// reallocate them if the frame size is changed
if( !mhi || mhi-&width != size.width || mhi-&height != size.height ) {
if( buf == 0 ) {
buf = (IplImage**)malloc(N*sizeof(buf[0]));
memset( buf, 0, N*sizeof(buf[0]));
for( i = 0; i & N; i++ ) {
cvReleaseImage( &buf[i] );
buf[i] = cvCreateImage( size, IPL_DEPTH_8U, 1 );
cvZero( buf[i] );
cvReleaseImage( &mhi );
cvReleaseImage( &orient );
cvReleaseImage( &segmask );
cvReleaseImage( &mask );
mhi = cvCreateImage( size, IPL_DEPTH_32F, 1 );
cvZero( mhi ); // clear MHI at the beginning
orient = cvCreateImage( size, IPL_DEPTH_32F, 1 );
segmask = cvCreateImage( size, IPL_DEPTH_32F, 1 );
mask = cvCreateImage( size, IPL_DEPTH_8U, 1 );
cvCvtColor( img, buf[last], CV_BGR2GRAY ); // convert frame to grayscale
idx2 = (last + 1) % N; // index of (last - (N-1))th frame
last = idx2;
silh = buf[idx2];
cvAbsDiff( buf[idx1], buf[idx2], silh ); // get difference between frames
cvThreshold( silh, silh, diff_threshold, 1, CV_THRESH_BINARY ); // and threshold it
cvUpdateMotionHistory( silh, mhi, timestamp, MHI_DURATION ); // update MHI
// convert MHI to blue 8u image
cvCvtScale( mhi, mask, 255./MHI_DURATION,
(MHI_DURATION - timestamp)*255./MHI_DURATION );
cvZero( dst );
cvCvtPlaneToPix( mask, 0, 0, 0, dst );
// calculate motion gradient orientation and valid orientation mask
cvCalcMotionGradient( mhi, mask, orient, MAX_TIME_DELTA, MIN_TIME_DELTA, 3 );
if( !storage )
storage = cvCreateMemStorage(0);
cvClearMemStorage(storage);
// segment motion: get sequence of motion components
// segmask is marked motion components map. It is not used further
seq = cvSegmentMotion( mhi, segmask, storage, timestamp, MAX_TIME_DELTA );
// iterate through the motion components,
// One more iteration (i == -1) corresponds to the whole image (global motion)
for( i = -1; i & seq-& i++ ) {
if( i & 0 ) { // case of the whole image
comp_rect = cvRect( 0, 0, size.width, size.height );
color = CV_RGB(255,255,255);
magnitude = 100;
else { // i-th motion component
comp_rect = ((CvConnectedComp*)cvGetSeqElem( seq, i ))-&
if( comp_rect.width + comp_rect.height & 100 ) // reject very small components
color = CV_RGB(255,0,0);
magnitude = 30;
// select component ROI
cvSetImageROI( silh, comp_rect );
cvSetImageROI( mhi, comp_rect );
cvSetImageROI( orient, comp_rect );
cvSetImageROI( mask, comp_rect );
// calculate orientation
angle = cvCalcGlobalOrientation( orient, mask, mhi, timestamp, MHI_DURATION);
angle = 360.0 -
// adjust for images with top-left origin
count = cvNorm( silh, 0, CV_L1, 0 ); // calculate number of points within silhouette ROI
cvResetImageROI( mhi );
cvResetImageROI( orient );
cvResetImageROI( mask );
cvResetImageROI( silh );
// check for the case of little motion
if( count & comp_rect.width*comp_rect.height * 0.05 )
// draw a clock with arrow indicating the direction
center = cvPoint( (comp_rect.x + comp_rect.width/2),
(comp_rect.y + comp_rect.height/2) );
cvCircle( dst, center, cvRound(magnitude*1.2), color, 3, CV_AA, 0 );
cvLine( dst, center, cvPoint( cvRound( center.x + magnitude*cos(angle*CV_PI/180)),
cvRound( center.y - magnitude*sin(angle*CV_PI/180))), color, 3, CV_AA, 0 );
int main(int argc, char** argv)
IplImage* motion = 0;
CvCapture* capture = 0;
if( argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0])))
capture = cvCaptureFromCAM( argc == 2 ? argv[1][0] - '0' : 0 );
else if( argc == 2 )
capture = cvCaptureFromFile( argv[1] );
if( capture )
cvNamedWindow( &Motion&, 1 );
if( !cvGrabFrame( capture ))
image = cvRetrieveFrame( capture );
if( image )
if( !motion )
motion = cvCreateImage( cvSize(image-&width,image-&height), 8, 3 );
cvZero( motion );
motion-&origin = image-&
update_mhi( image, motion, 30 );
cvShowImage( “Motion”, motion );
if( cvWaitKey(10) &= 0 )
cvReleaseCapture( &capture );
cvDestroyWindow( “Motion” );
#ifdef _EiC
main(1,”motempl.c”);
To download the source code, please refer to directory “OpenCV\samples\c\motempl.c“.
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