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vid.cpp
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#include <iostream>
#include <string>
#include <vector>
#include <sstream>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/opencv.hpp>
using namespace std;
using namespace cv;
Mat apply_alpha(Mat I, Mat alpha)
{
Mat al;
Mat newal[] = {alpha,alpha,alpha};
merge(newal,3,al);
Mat R = I.mul(al);
return R;
}
float al1,al2,al3;
Mat get_composite(string nam, string nam2, string nam3,string n) // extra function created for easy compositing, when manually needed to do so, requires only
// location of the files
{
Mat R;
Mat alpha = imread(nam.data(),0);
alpha.convertTo(alpha,CV_32F);
normalize(alpha,alpha,0,1,NORM_MINMAX);
Mat I = imread(nam3.data());
I.convertTo(I,CV_32F);
normalize(I,I,0,1,NORM_MINMAX);
Mat T = imread(nam2.data());
T.convertTo(T,CV_32F);
normalize(T,T,0,1,NORM_MINMAX);
resize(T,T,I.size());
R = apply_alpha(I,alpha) + apply_alpha(T,1-alpha);
normalize(R,R,0,255,NORM_MINMAX);
R.convertTo(R,CV_8U);
resize(R,R,R.size()/3);
imwrite(n.data(),R);
return R;
}
string get_file_name(string img, string spc,float a1, float a2,float a3)
{
string a_1 = to_string(a1);
string a_2 = to_string(a2);
string a_3 = to_string(a3);
string nam(img.data());
nam.append(spc.data());
nam.append("_");
nam.append(a_1);
nam.append("_");
nam.append(a_2);
nam.append("_");
nam.append(a_3);
nam.append(".jpeg");
return nam;
}
string get_file_name_vid(string img, string spc,int idx)
{
string idd = to_string(idx);
string nam(img.data());
nam.append(spc.data());
nam.append("_");
nam.append(idd);
nam.append("_.jpeg");
return nam;
}
void frame_pross(Mat fram,Mat T,int idx)
{
Mat Ib,Ig,Ir;
vector<Mat> v;
split(fram,v);
Ib = v[0]; // OpenCV follows the BGR scheme instead of a RGB scheme
Ig = v[1];
Ir = v[2];
Mat alpha = 1 - (5.962)*(Ig - (0.879)*(Ib)); // The matting equation
normalize(alpha,alpha,0,1,NORM_MINMAX); // normalize between 0 and 1
Mat mal,m2,m3; //
m2 = Mat::zeros(alpha.size(),CV_32F); //
alpha.copyTo(mal); //
mal.convertTo(mal,CV_8U); //
threshold(mal,mal,255,1,THRESH_OTSU); // determine mask to threshold only the FG region in alpha
alpha.copyTo(m2,mal);
dilate(m2,m2,Mat::ones(200,200,CV_8U),Point(-1,-1),5);
erode(m2,m2,Mat::ones(200,200,CV_8U),Point(-1,-1),5);
pow(m2,(0.261),m2);
m2.copyTo(alpha,mal); // gamma correct only portion specified by mask
Mat aly;
resize(alpha,aly,alpha.size()/3);
Mat Y = apply_alpha(T, 1-alpha) + apply_alpha(fram, alpha); // apply alpha, multiply alpha to each channel of the given image
normalize(Y,Y,0,255,NORM_MINMAX); // normalize resultant to 0 to 255 and save as an 8 bit image
Y.convertTo(Y,CV_8U);
Mat yul;
resize(Y,yul,fram.size()/3);
string alnam = get_file_name_vid("/home/hulio/RPI/CVFX/HW_2/rain_frames_alpha/alpha","Kung_Fu",idx);
string comnam = get_file_name_vid("/home/hulio/RPI/CVFX/HW_2/rain_composite/composite","Kung_Fu",idx);
string orinam = get_file_name_vid("/home/hulio/RPI/CVFX/HW_2/rain_original/original","Kung_Fu",idx);
normalize(alpha,alpha,0,255,NORM_MINMAX);
alpha.convertTo(alpha,CV_8U);
imwrite(comnam.data(),Y); // write files
imwrite(alnam.data(),alpha);
imwrite(orinam.data(),fram);
}
vector<int> get_fram_list2()
{
vector<int> flish;
int i = 0;
for(i = 0; i < 50; i++){ flish.push_back(i); }
for(i = 49; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 36; i--){ flish.push_back(i); }
for(i =37; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 37; i--){ flish.push_back(i); }
for(i =38; i <= 50; i++){ flish.push_back(i); }
for(i = 49; i >= 44; i--){ flish.push_back(i); }
for(i =45; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 28; i--){ flish.push_back(i); }
return flish;
}
vector<int> get_fram_list()
{
vector<int> flish;
int i = 0;
for(i = 0; i < 50; i++){ flish.push_back(i); }
for(i = 49; i >= 28; i--){ flish.push_back(i); }
for(i = 29; i <= 46; i++){ flish.push_back(i); }
for(i = 45; i >= 36; i--){ flish.push_back(i); }
for(i =37; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 37; i--){ flish.push_back(i); }
for(i =38; i <= 50; i++){ flish.push_back(i); }
for(i = 49; i >= 44; i--){ flish.push_back(i); }
for(i =45; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
for(i = 46; i >= 40; i--){ flish.push_back(i); }
for(i =41; i <= 47; i++){ flish.push_back(i); }
return flish;
}
void get_I_alpha(Mat&I, Mat&alpha,int i)
{
string al_n = get_file_name_vid("/home/hulio/RPI/CVFX/HW_2/rain_frames_alpha/alpha","Kung_Fu",i);
string ori_n = get_file_name_vid("/home/hulio/RPI/CVFX/HW_2/rain_original/original","Kung_Fu",i);
I = imread(ori_n.data());
I.convertTo(I,CV_32FC3);
normalize(I,I,0,1,NORM_MINMAX); // normalize to [0,1]
alpha = imread(al_n.data(),0);
alpha.convertTo(alpha,CV_32FC1);
normalize(alpha,alpha,0,1,NORM_MINMAX); // normalize to [0,1]
}
int main(int argc, char *argv[])
{
/*
if(argc != 2)
{
cout << "\nFATAL ERROR: Incorrect number of parameters!\n";
exit(1);
}*/
// VideoCapture cap;
// cap.open(argv[1]);
VideoWriter wir;
int codec = CV_FOURCC('M','J','P','G');
wir.open("Kung_Fu_Showdown.avi",codec,25,Size(1500 ,1080));
// cap.set(CV_CAP_PROP_POS_MSEC,4000);
vector<int> flist = get_fram_list();
vector<int> flist2 = get_fram_list2();
int fsize = min(flist.size(),flist2.size());
int i = 0;
Mat T = imread("shaolin.jpg");
T.convertTo(T,CV_32FC3);
normalize(T,T,0,1,NORM_MINMAX); // normalize to [0,1]
// cout << "\n Flist Size:: "<< flist.size() << "\n";
while(i < fsize ) // && (cap.get(CV_CAP_PROP_POS_FRAMES) < cap.get(CV_CAP_PROP_FRAME_COUNT)))
{
// Mat I;
// cap >> I;
Mat I,alpha,I2,alpha2,If,alphaf;
get_I_alpha(I,alpha,flist[i]);
get_I_alpha(I2,alpha2,flist2[i]);
if(i == 0)
{
resize(T,T,I.size());
}
flip(I2,If,1);
flip(alpha2,alphaf,1);
// Mat T;
// cap >> T;
/* T.convertTo(T,CV_32FC3);
normalize(T,T,0,1,NORM_MINMAX); // normalize to [0,1]
resize(T,T,I.size()); */ // resize target to size of original image
Mat newT = apply_alpha(I,alpha) + apply_alpha(T, 1-alpha);
Mat newnewT = apply_alpha(If,alphaf) + apply_alpha(newT, 1-alphaf);
normalize(newnewT,newnewT,0,255,NORM_MINMAX);
newnewT.convertTo(newnewT,CV_8UC3);
wir << newnewT;
// string orinam = get_file_name_vid("/home/hulio/RPI/CVFX/HW_2/rain_original/original","Kung_Fu",i);
// imwrite(orinam.data(),I);
// frame_pross(I,T,i);
i++;
// cout << "\n Processing Frame::: " << i << "\n";
}
// cap.release();
wir.release();
// namedWindow("Matte", 1);
// createTrackbar("a1", "Matte", &a1, am, track_1, new int(0) ); // a1
// createTrackbar("a2", "Matte", &a2, am, track_1, new int(1) ); // a2
// createTrackbar("a3", "Matte", &a3, am, track_1, new int(2) ); // gamma
// waitKey();
return 1;
}