int main()
{
Global::Image *pImage = Global::DataLoad("../../../Resource/polygon2.bmp");
Global::Image mImageParser(nWidthParser, nheightParser, Global::TYPE::BYTE, 1);
Global::Image mImageParser_Temp(nWidthParser, nheightParser, Global::TYPE::BYTE, 1);
Global::Image mImageParser2(nheightParser, nWidthParser, Global::TYPE::BYTE, 1);
Global::ReSize(pImage, &mImageParser);
delete pImage;
Global::Show("Test ..", &mImageParser);
ProfTimer mProfTimer;
while (1)
{
mProfTimer.Start();
//Global::Reflection(&mImageParser, &mImageParser_Temp, Global::REFLECTION::VERTICAL);
//unsigned char *data = mImageParser2.data.b;
//unsigned char *data2 = mImageParser.data.b;
unsigned char *data = pData;
unsigned char *data2 = pDataCopy;
for (long x = 0; x < uWidthLen; x++)
{
for (long y = 0; y < nheightParser; y++)
{
long lIndex(y * (uWidthLen)+x);
memcpy(data, data2 + lIndex, 2);
data += 2;
//*(data) = *(data2 + lIndex);
//*(data++) = *(data2 + lIndex + 1);
}
}
mProfTimer.Stop();
printf("mProfTimer : %f \n", mProfTimer.GetDurationInSecs());
Global::Show("Test2 ..", &mImageParser2);
}
return 0;
}
void
initialise_profiling()
{
int i;
for (i = 0; i < MAX_NR_PROFILE_ENTRIES; i++) {
pe_heap[i].next = &pe_heap[i+1];
pe_heap[i].hash = 0;
pe_heap[i].cntr = 0;
pe_heap[i].nr_entries_in_trace = 0;
}
pe_heap[i-1].next = NULL;
next_alloc = &pe_heap[0];
profTimer.interval = 0.01;
profTimer.nextDue = now() + 0.01;
signal(SIGSEGV, handle_sigsegv);
profTimer.schedule();
}
int main()
{
ProfTimer mProfTimer;
unsigned char *sTextData = TextData();
float mArrVecParser_CSV[nWidthParser];
float mArrVecParserCopy[nWidthParser];
float mArrVecParserCopy2[nWidthParser];
DataOpen("1909175498_image_profile.csv", mArrVecParser_CSV);
//DataOpen("-1916029922_image_profile.csv", mArrVecParser_CSV);
while (1)
{
memcpy(mArrVecParserCopy, mArrVecParser_CSV, sizeof(float)* nWidthParser);
Global::Image mImageParser(nWidthParser, nheightParser, Global::TYPE::BYTE, 3);
Global::Image mImageParser2(nWidthParser, nheightParser, Global::TYPE::BYTE, 3);
Global::Image mImageParserReSize(img_wid, img_hig, Global::TYPE::BYTE, 3);
for (int i = 0; i < nWidthParser; i++)
{
Global::Circle(&mImageParser, i, mArrVecParserCopy[i], 1, RGB8(0, 0, 255));
}
#if 0
int nXTest0 = 800;
int nXTest1 = 900;
int nTest;
Sample sSample;
sSample.nX0 = nXTest0;
sSample.nX1 = nXTest1;
Line(&mImageParser, mArrVecParserCopy, sSample,true);
nXTest0 = 400;
nXTest1 = 810;
//Line(&mImageParser, nXTest0, nXTest1, mArrVecParserCopy, nTest, true);
//DeletePoint(nWidthParser, nheightParser, 400, 700, mArrVecParserCopy);
#endif
#if 1
int nLineCount(1);
const int nSample = 1000;
Sample sSample[nSample];
while (nLineCount)
{
mProfTimer.Start();
nLineCount--;
int nArrNumderSize(0);
int nSampleCount(0);
memset(sSample, 0, sizeof(Sample)* nSample);
int nMaxSample = 0;
int nMaxSampleArrNum = 0;
while (nSample - nArrNumderSize)
{
float fCutLine = nheightParser / 1.2;
int nRandX0 = (std::rand() % nWidthParser);//중복은 나중에 고려
int nRandX1 = (std::rand() % nWidthParser);//중복은 나중에 고려
if (nRandX0 == nRandX1 || mArrVecParserCopy[nRandX0] < fCutLine || mArrVecParserCopy[nRandX1] < fCutLine)
{
continue;
}
sSample[nSampleCount].nX0 = nRandX0;
sSample[nSampleCount].nX1 = nRandX1;
if (Line(&mImageParser, mArrVecParserCopy, sSample[nSampleCount]))
{
if (sSample[nSampleCount].nSn > nMaxSample && sSample[nSampleCount].nSn > 10)
{
nMaxSample = sSample[nSampleCount].nSn;
nMaxSampleArrNum = nSampleCount;
nSampleCount++;
//printf(" nMaxSampleArrNum : %d \n", nMaxSampleArrNum);
}
nArrNumderSize++;
}
}
//mVecParserCopy
if (nSampleCount > 0)
{
Line(0, mArrVecParserCopy, sSample[nMaxSampleArrNum], true);
memcpy(mArrVecParserCopy2, mArrVecParser_CSV, sizeof(float)* nWidthParser);
ReAgainst(nWidthParser, nheightParser, sSample[nMaxSampleArrNum], mArrVecParserCopy2);
}
mProfTimer.Stop();
printf("mProfTimer : %f \n", mProfTimer.GetDurationInSecs());
if (nSampleCount > 0)
{
Line(&mImageParser, mArrVecParserCopy, sSample[nMaxSampleArrNum], true);
DeletePoint(nWidthParser, nheightParser, sSample[nMaxSampleArrNum], mArrVecParserCopy);
for (int i = 0; i < nWidthParser; i++)
{
Global::Circle(&mImageParser2, i, mArrVecParserCopy2[i], 2, RGB8(0, 0, 255));
}
}
//break;
}
#endif
#if 0
Global::Show("Parser ", &mImageParser);
Global::Show("Test ", &mImageParser2);
#else
Global::Filter2D(&mImageParser2, &mImageParser2, Global::FILTER::GAUSSIAN, 1);
Global::ReSize(&mImageParser2, &mImageParserReSize);
Global::Show("Test ", &mImageParserReSize);
Global::Filter2D(&mImageParser, &mImageParser, Global::FILTER::GAUSSIAN, 1);
Global::ReSize(&mImageParser, &mImageParserReSize);
Global::Show("Parser ", &mImageParserReSize);
#endif
//Sleep(1);
}
delete sTextData;
return 0;
}
/*
void CompareHistogram(Frame &pre,Frame &cur,Frame &next)
{
vector<local*>::iterator pre_iter=cur.sa.begin();
for (int i=0;i<cur.sa.size();i++)
{
cur.sa[i]->hist;
}
for (int i=0;i<4;i++)
{
for (int j=0;j<8;j++)
{
cur.sa[i*j+j]->hist;
}
}
}*/
int main(void)
{
static long code=1000000;
const static long start_frame=0;
ofstream zhjg("zhjg.txt");
ofstream logs("log.txt");
list<vector<vector<ComponentFeature>>> video_Feature;
CvCapture *input_video = cvCaptureFromFile(
"D:\\amit\\subway_exit_turnstiles.AVI"
);
if (input_video == NULL)
{
fprintf(stderr, "Error: Can't open video.\n");
return -1;
}
CvSize frame_size;
frame_size.height =(int) cvGetCaptureProperty( input_video, CV_CAP_PROP_FRAME_HEIGHT );
frame_size.width =(int) cvGetCaptureProperty( input_video, CV_CAP_PROP_FRAME_WIDTH );
/* Determine the number of frames in the AVI. */
cvQueryFrame( input_video);
long number_of_frames;
number_of_frames=cvGetCaptureProperty(input_video,CV_CAP_PROP_FRAME_COUNT);
cvSetCaptureProperty( input_video, CV_CAP_PROP_POS_FRAMES, 0);
//cvNamedWindow("Optical Flow", CV_WINDOW_AUTOSIZE);
long current_frame = start_frame;
while(true)
{
static IplImage *frame = NULL, *frame1 = NULL, *frame1_1C = NULL, *frame2_1C = NULL,*frame1out=NULL,*frame2out=NULL;
vector<IplImage*> frame1_1C_subregions;//将第一帧分成32个局部区域存储在这里
vector<IplImage*> frame2_1C_subregions;//将第二帧分成32个局部区域存储在这里
int width_step=0;
//将一帧划分成frame_width*frame_height个子区域
const int frame_width=8;
const int frame_height=8;
char framename[7];
itoa(code+current_frame,framename,10);
//code++;
/* Go to the frame we want. Important if multiple frames are queried in
* the loop which they of course are for optical flow. Note that the very
* first call to this is actually not needed. (Because the correct position
* is set outsite the for() loop.)
*/
cvSetCaptureProperty( input_video, CV_CAP_PROP_POS_FRAMES, current_frame );
//获得第一帧
frame = cvQueryFrame( input_video );
if (frame == NULL)
{
/* Why did we get a NULL frame? We shouldn't be at the end. */
fprintf(stderr, "Error: Hmm. The end came sooner than we thought.\n");
return -1;
}
//current_frame++;
/* Allocate another image if not already allocated.
* Image has ONE channel of color (ie: monochrome) with 8-bit "color" depth.
* This is the image format OpenCV algorithms actually operate on (mostly).
*/
//frame1_1C 光流法中的第一帧，单通道，深度为8
utils::allocateOnDemand( &frame1_1C, frame_size, IPL_DEPTH_8U, 1 );
/* Convert whatever the AVI image format is into OpenCV's preferred format.
* AND flip the image vertically. Flip is a shameless hack. OpenCV reads
* in AVIs upside-down by default. (No comment :-))
*/
cvConvertImage(frame, frame1_1C,0);
//frame1 彩色图像，用来在上面画线
utils::allocateOnDemand( &frame1, frame_size, IPL_DEPTH_8U, 3 );
cvConvertImage(frame, frame1, 0);
//cvShowImage("frame1",frame1);
utils::allocateOnDemand( &frame1out, frame_size, IPL_DEPTH_8U, 3 );
cvConvertImage(frame, frame1out, 0);
/* 获得第二帧*/
do
{
frame = cvQueryFrame( input_video );
if (frame == NULL)
{
fprintf(stderr, "Error: Hmm. The end came sooner than we thought.\n");
return -1;
}
current_frame++;
} while (current_frame%25!=0);
//frame = cvQueryFrame( input_video );
utils::allocateOnDemand( &frame2out, frame_size, IPL_DEPTH_8U, 3 );
cvConvertImage(frame, frame2out, 0);
//frame2_1C 光流法中的第二帧，单通道，深度为8
utils::allocateOnDemand( &frame2_1C, frame_size, IPL_DEPTH_8U, 1 );
cvConvertImage(frame, frame2_1C, 0);
// cvShowImage("frame2_1C",frame2_1C);
ProfTimer t;
t.Start();
vector<vector<ComponentFeature>> frame_components;//里面存储32个局部区域分别进行光流法运算之后得到的9维特征向量
frame_components.reserve(frame_width*frame_height);//为frame_components在内存中分配frame_width*frame_height，优化vector速度
frame1_1C_subregions.reserve(frame_width*frame_height);
frame2_1C_subregions.reserve((frame_width*frame_height));
//切分第一帧，存储在向量中
frame1_1C_subregions= GetSubregions(frame1_1C,cvSize(frame_size.width/frame_width,frame_size.height/frame_height),width_step);
//切分第二帧，存储在向量中
frame2_1C_subregions= GetSubregions(frame2_1C,cvSize(frame_size.width/frame_width,frame_size.height/frame_height),width_step);
//分别定义两个迭代器指向两个分片向量
vector<IplImage*> ::iterator iter_frame1_1C=frame1_1C_subregions.begin();
vector<IplImage*> ::iterator iter_frame2_1C=frame2_1C_subregions.begin();
//对每个子区域进行光流法
Opticalflow of;
int flag=0;
for (;iter_frame1_1C!=frame1_1C_subregions.end();iter_frame1_1C++,iter_frame2_1C++)
{
vector<ComponentFeature> components; //local_region一个整帧的1/64里面包含12个16*16的subregion
components.reserve(12);
//of.calOpticalFlowLK(frame1,*iter_frame1_1C,*iter_frame2_1C,flag,width_step,components);
of.calOpticalFlowVar(frame1,*iter_frame1_1C,*iter_frame2_1C,flag,width_step,components);
cvReleaseImage(&(*iter_frame1_1C));
cvReleaseImage(&(*iter_frame2_1C));
frame_components.push_back(components);//local_region加入到帧
vector<ComponentFeature>().swap(components);//清空components
flag++;
}
// cvShowImage("Optic",frame1);
//cvWaitKey(0);
video_Feature.push_back(frame_components);//将一帧加入视频流
vector<vector<ComponentFeature>>().swap(frame_components);
t.Stop();
cout<<"time=: "<<t.GetDurationInSecs ()*1000<<"(ms)"<<endl;
// current_frame++;
// cvWaitKey(1);
//下面开始循环
if (video_Feature.size()==10)
{
vector<ComponentFeature> tran;
tran.reserve(video_Feature.size());
//整幅帧
for (list<vector<vector<ComponentFeature>>>::iterator first=video_Feature.begin();first!=video_Feature.end();first++)
{ //局部区域
for (vector<vector<ComponentFeature>>::iterator second=(*first).begin();second!=(*first).end();second++)
{
for (vector<ComponentFeature>::iterator third=(*second).begin();third!=(*second).end();third++)
{
tran.push_back(*third);
}
}
}
Kmeans k(tran,9,10);
k.start();
Frame * f=new Frame[10];
map<int,int> ::iterator result_iter=k.result.begin();
for (;result_iter!=k.result.end();result_iter++)
{
CvScalar three=valueToScalar(result_iter->first-1);
f[static_cast<int>(three.val[0])].sub[static_cast<int>(three.val[1])][static_cast<int>(three.val[2])]=result_iter->second;
}
#ifdef DEBUG
ofstream out("frame.txt");
for (int i=0;i<10;i++)
{
out<<"################################frame"<<i<<endl;
for (int j=0;j<24;j++)
{
for (int k=0;k<32;k++)
{
out<<f[i].sub[j][k]<<"\t";
}
out<<endl;
}
}
out.close();
#endif
for (int i=0;i<10;i++)
{
//f[i].height=frame_height;
//f[i].width=frame_width;
f[i].frame2locals(cvPoint(0,0));
}
//cout<< f[9].label_result->data.fl[0];
int label_result[frame_height][frame_width]={0};
for (int k=0;k<9;k++)
{
mrf mrf1;
//mrf1.GetBlock(f,10);
mrf1.pre=&f[k];
mrf1.cur=&f[k+1];
mrf1.width=frame_width;
mrf1.height=frame_height;
mrf1.SetNoRegions(2);
mrf1.InitOutImage();
//mrf1.Gibbs();
//mrf1.Metropolis();
mrf1.ICM();
for (int i=0;i<frame_height;i++)
{
for (int j=0;j<frame_width;j++)
{
//int s=f[9].label_result->data.fl[i*frame_width+j];
label_result[i][j]+=
f[k+1].label_result->data.fl[i*frame_width+j];
}
}
}
zhjg<<"##############################"<<current_frame<<endl;
for (int i=0;i<frame_height;i++)
{
for (int j=0;j<frame_width;j++)
{
zhjg<<label_result[i][j]<<"\t";
if ((label_result[i][j]<=3)&&i!=0&&i!=frame_height-1&&j!=0&&j!=frame_width-1)
{
logs<<current_frame<<endl;
int cvheight=frame_size.height/frame_height;
int cvwidth=frame_size.width/frame_width;
CvPoint startPoint=cvPoint(j*cvwidth,i*cvheight);
CvPoint endPoint =cvPoint((j+1)*cvwidth,(i+1)*cvheight);
cvRectangle(frame2out,startPoint,endPoint,CV_RGB(255,0,0),1,8,0);
}
}
zhjg <<endl;
}
zhjg<<endl;
//处理掉分配的local对象
for (int i=0;i<10;i++)
{
vector<local*> ::iterator v_l_iter=f[i].sa.begin();
for (;v_l_iter!=f[i].sa.end();v_l_iter++)
{
delete (*v_l_iter);
}
}
//break;
//去掉最老的一帧
video_Feature.pop_front();
}
//输出处理后的图像
string end=".jpg";
string fold="result\\";
string path=fold+framename+end;
cvSaveImage(path.c_str(),frame2out);
/*int key_pressed;
key_pressed = cvWaitKey(1);
if (key_pressed=='Q'||key_pressed=='q')
{
break;
}*/
if (current_frame < start_frame)
current_frame = start_frame;
//if (current_frame >= number_of_frames - 1) //current_frame = number_of_frames - 2;
if (current_frame>=number_of_frames-1)
break;
}
zhjg.close();
logs.close();
}
