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backup.txt
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#include "cv.h"
#include "highgui/highgui.hpp"
#include "imgproc/imgproc.hpp"
#include "ml.h"
#include <stdio.h>
#include <iostream>
#include <string>
#include <ctype.h>
#include <time.h>
#include <windows.h>
#include "wtypes.h"
using namespace std;
using namespace cv;
/****************************** preprocessing.cpp *******************/
/*****************************************************************
*
* Find the min box. The min box respect original aspect ratio image
* The image is a binary data and background is white.
*
*******************************************************************/
void findX(IplImage* imgSrc,int* min, int* max){
int i;
int minFound=0;
CvMat data;
CvScalar maxVal=cvRealScalar(imgSrc->width * 255);
CvScalar val=cvRealScalar(0);
//For each col sum, if sum < width*255 then we find the min
//then continue to end to search the max, if sum< width*255 then is new max
for (i=0; i< imgSrc->width; i++){
cvGetCol(imgSrc, &data, i);
val= cvSum(&data);
if(val.val[0] < maxVal.val[0]){
*max= i;
if(!minFound){
*min= i;
minFound= 1;
}
}
}
}
void findY(IplImage* imgSrc,int* min, int* max){
int i;
int minFound=0;
CvMat data;
CvScalar maxVal=cvRealScalar(imgSrc->width * 255);
CvScalar val=cvRealScalar(0);
//For each col sum, if sum < width*255 then we find the min
//then continue to end to search the max, if sum< width*255 then is new max
for (i=0; i< imgSrc->height; i++){
cvGetRow(imgSrc, &data, i);
val= cvSum(&data);
if(val.val[0] < maxVal.val[0]){
*max=i;
if(!minFound){
*min= i;
minFound= 1;
}
}
}
}
CvRect findBB(IplImage* imgSrc){
CvRect aux;
int xmin, xmax, ymin, ymax;
xmin=xmax=ymin=ymax=0;
findX(imgSrc, &xmin, &xmax);
findY(imgSrc, &ymin, &ymax);
aux=cvRect(xmin, ymin, xmax-xmin, ymax-ymin);
return aux;
}
IplImage preprocessing(IplImage* imgSrc,int new_width, int new_height){
IplImage* result;
IplImage* scaledResult;
CvMat data;
CvMat dataA;
CvRect bb;//bounding box
CvRect bba;//boundinb box maintain aspect ratio
//Find bounding box
bb=findBB(imgSrc);
//Get bounding box data and no with aspect ratio, the x and y can be corrupted
cvGetSubRect(imgSrc, &data, cvRect(bb.x, bb.y, bb.width, bb.height));
//Create image with this data with width and height with aspect ratio 1
//then we get highest size betwen width and height of our bounding box
int size=(bb.width>bb.height)?bb.width:bb.height;
result=cvCreateImage( cvSize( size, size ), 8, 1 );
cvSet(result,CV_RGB(255,255,255),NULL);
//Copy de data in center of image
int x=(int)floor((float)(size-bb.width)/2.0f);
int y=(int)floor((float)(size-bb.height)/2.0f);
cvGetSubRect(result, &dataA, cvRect(x,y,bb.width, bb.height));
cvCopy(&data, &dataA, NULL);
//Scale result
scaledResult=cvCreateImage( cvSize( new_width, new_height ), 8, 1 );
cvResize(result, scaledResult, CV_INTER_NN);
//Return processed data
return *scaledResult;
}
/***************************** basicOCR.cpp ***************************/
class basicOCR{
public:
float classify(IplImage* img,int showResult);
basicOCR ();
void test();
private:
char file_path[255];
int train_samples;
int total_samples;
int classes;
CvMat* trainData;
CvMat* trainClasses;
int size;
static const int K=10;
CvKNearest *knn;
void getData();
void train();
};
void basicOCR::getData()
{
IplImage* src_image;
IplImage prs_image;
CvMat row,data;
char file[255];
int i,j;
for(i =0; i<classes; i++){
for( j = 0; j< train_samples; j++){
//Load file
if(j<10)
sprintf(file,"%s%d/%d0%d.pbm",file_path, i, i , j);
else
sprintf(file,"%s%d/%d%d.pbm",file_path, i, i , j);
src_image = cvLoadImage(file,0);
if(!src_image){
printf("Error: Cant load image %s\n", file);
//exit(-1);
}
//process file
prs_image = preprocessing(src_image, size, size);
//Set class label
cvGetRow(trainClasses, &row, i*train_samples + j);
cvSet(&row, cvRealScalar(i));
//Set data
cvGetRow(trainData, &row, i*train_samples + j);
IplImage* img = cvCreateImage( cvSize( size, size ), IPL_DEPTH_32F, 1 );
//convert 8 bits image to 32 float image
cvConvertScale(&prs_image, img, 0.0039215, 0);
cvGetSubRect(img, &data, cvRect(0,0, size,size));
CvMat row_header, *row1;
//convert data matrix sizexsize to vecor
row1 = cvReshape( &data, &row_header, 0, 1 );
cvCopy(row1, &row, NULL);
}
}
}
void basicOCR::train()
{
knn=new CvKNearest( trainData, trainClasses, 0, false, K );
}
float basicOCR::classify(IplImage* img, int showResult)
{
IplImage prs_image;
CvMat data;
CvMat* nearest=cvCreateMat(1,K,CV_32FC1);
float result;
//process file
prs_image = preprocessing(img, size, size);
//Set data
IplImage* img32 = cvCreateImage( cvSize( size, size ), IPL_DEPTH_32F, 1 );
cvConvertScale(&prs_image, img32, 0.0039215, 0);
cvGetSubRect(img32, &data, cvRect(0,0, size,size));
CvMat row_header, *row1;
row1 = cvReshape( &data, &row_header, 0, 1 );
result=knn->find_nearest(row1,K,0,0,nearest,0);
int accuracy=0;
for(int i=0;i<K;i++){
if( nearest->data.fl[i] == result)
accuracy++;
}
float pre=100*((float)accuracy/(float)K);
if(showResult==1){
char key[] = {'S', '6', 'O', '9', 'W'};
// printf("|\t%.0f\t| \t%.2f%% \t| \t%d of %d \t| \n",result,pre,accuracy,K);
printf("|\t%.0f = %c\t| \t%.2f%% \t| \t%d of %d \t| \n", result, key[(int)result], pre, accuracy,K);
printf(" ---------------------------------------------------------------\n");
string out_s;
out_s.push_back(key[(int)result]);
Mat output(200, 200, CV_8UC3);
output = Scalar(255, 255, 255);
putText(output, out_s, cvPoint(10, 180), FONT_HERSHEY_COMPLEX_SMALL, 11, cvScalar(255, 153, 153), 3, 1);
imshow("result", output);
}
return result;
}
void basicOCR::test(){
IplImage* src_image;
IplImage prs_image;
CvMat row,data;
char file[255];
int i,j;
int error=0;
int testCount=0;
for(i =0; i<classes; i++){
for( j = train_samples; j < total_samples; j++){
sprintf(file,"%s%d/%d0%d.pbm",file_path, i, i , j);
if(j<10)
sprintf(file,"%s%d/%d0%d.pbm",file_path, i, i , j);
else
sprintf(file,"%s%d/%d%d.pbm",file_path, i, i , j);
src_image = cvLoadImage(file,0);
if(!src_image){
printf("Error: Cant load image %s\n", file);
//exit(-1);
}
//process file
prs_image = preprocessing(src_image, size, size);
float r=classify(&prs_image,0);
if((int)r!=i)
error++;
testCount++;
}
}
float totalerror=100*(float)error/(float)testCount;
printf("System Error: %.2f%%\n", totalerror);
}
basicOCR::basicOCR()
{
//initial
sprintf(file_path , "OCR-20/");
train_samples = 70;
total_samples = 100;
classes = 5;
size = 40;
trainData = cvCreateMat(train_samples*classes, size*size, CV_32FC1);
trainClasses = cvCreateMat(train_samples*classes, 1, CV_32FC1);
//Get data (get images and process it)
getData();
//train
train();
//Test
test();
printf(" ---------------------------------------------------------------\n");
printf("|\tClass\t|\tPrecision\t|\tAccuracy\t|\n");
printf(" ---------------------------------------------------------------\n");
}
/****************************** main.cpp *********************/
IplImage* imagen;
int red,green,blue;
IplImage* screenBuffer;
int drawing;
int r,last_x, last_y;
void getScreenResolution(int &horizontal, int &vertical) {
RECT desktop;
// Get a handle to the desktop window
const HWND hDesktop = GetDesktopWindow();
// Get the size of screen to the variable desktop
GetWindowRect(hDesktop, &desktop);
// The top left corner will have coordinates (0,0)
// and the bottom right corner will have coordinates
// (horizontal, vertical)
horizontal = desktop.right;
vertical = desktop.bottom;
}
int main() {
VideoCapture cap(0);
if(!cap.isOpened()) {
cout<<"Unable to open webcam.";
return 1;
}
// namedWindow("Webcam", CV_WINDOW_AUTOSIZE);
// namedWindow("Original", CV_WINDOW_AUTOSIZE);
// namedWindow("Black & White", CV_WINDOW_AUTOSIZE);
int screenHorizontal, screenVertical;
getScreenResolution(screenHorizontal, screenVertical);
cout<<screenHorizontal<<"x"<<screenVertical<<endl;
/*************Finding a colour's HSV values*********/
// int hLow, hHigh, sLow, sHigh, vLow, vHigh;
// hLow = sLow = vLow = 0;
// hHigh = 179;
// sHigh = vHigh = 255;
//
// createTrackbar("H low", "Webcam", &hLow, 255);
// createTrackbar("H high", "Webcam", &hHigh, 179);
// createTrackbar("S low", "Webcam", &sLow, 255);
// createTrackbar("S high", "Webcam", &sHigh, 255);
// createTrackbar("V low", "Webcam", &vLow, 255);
// createTrackbar("V high", "Webcam", &vHigh, 255);
/**************Finding HSV ends*********************/
double width = cap.get(CV_CAP_PROP_FRAME_WIDTH);
double height = cap.get(CV_CAP_PROP_FRAME_HEIGHT);
int prevX = -1, prevY = -1;
cout<<width<<"x"<<height<<endl; //640x480
Mat imm;
cap.read(imm);
// Mat imgLines = Mat::ones( imm.size(), CV_8UC3 );;
Mat imgLines(height, width, CV_8UC1);
imgLines = Scalar(255);
basicOCR ocr;
int count = 0;
bool timer = false;
time_t startTime;
while(1) {
Mat frame, temp, ori;
if(!cap.read(frame)) {
cout<<"Unable to read frame from webcam.";
return 1;
}
flip(frame, frame, 1); // horizontal flipping
ori = frame;
/************** Segmentation *********************/
cvtColor(frame, temp, CV_RGB2HSV);
frame = temp;
// 109 - 142, 18 - 156, 164 - 255 ---> pink nose
// 0 - 25, 134 - 255, 51 - 255 ---> blue sharpener
// inRange(frame, Scalar(hLow, sLow, vLow), Scalar(hHigh, sHigh, vHigh), temp);
inRange(frame, Scalar(0, 134, 51), Scalar(25, 255, 255), temp);
frame = temp;
// namedWindow("Noise", CV_WINDOW_AUTOSIZE);
// imshow("Noise", frame);
/*************** Denoise ***********************/
int size = 3;
Mat element = getStructuringElement(MORPH_RECT, Size(2*size + 1, 2*size + 1), Point(size, size));
erode(frame, temp, element);
size = 3;
element = getStructuringElement(MORPH_RECT, Size(2*size + 1, 2*size + 1), Point(size, size));
dilate(temp, frame, element);
size = 3;
element = getStructuringElement(MORPH_RECT, Size(2*size + 1, 2*size + 1), Point(size, size));
dilate(frame, temp, element);
size = 3;
element = getStructuringElement(MORPH_RECT, Size(2*size + 1, 2*size + 1), Point(size, size));
erode(temp, frame, element);
/************************************************/
Moments mom = moments(frame);
double m01 = mom.m01;
double m10 = mom.m10;
double area = mom.m00;
int x = m10/area;
int y = m01/area;
if(prevX >= 0 && prevY >= 0 && x >= 0 && y >= 0) {
// line(imgLines, Point(x, y), Point(prevX, prevY), Scalar(0, 0, 255), 3);
line(imgLines, Point(x, y), Point(prevX, prevY), Scalar(0), 20);
int posX = (x/width)*screenHorizontal;
int posY = (y/height)*screenVertical;
/********Mouse Control***/
// SetCursorPos(posX, posY);
/********Scroll*********/
// if(y > prevY)
// mouse_event(MOUSEEVENTF_WHEEL, 0, 0, -30, 0);
// else if(y < prevY)
// mouse_event(MOUSEEVENTF_WHEEL, 0, 0, 30, 0);
}
prevX = x, prevY = y;
imshow("Webcam", frame);
// imshow("Original", ori+imgLines);
imshow("Black & White", imgLines);
char c = waitKey(30);
if(c == 'r') {
imgLines = Scalar(255);
} else if(c == 's') {
Mat saveImg;
// cvtColor(imgLines, saveImg, CV_RGB2GRAY);
resize(imgLines, saveImg, Size(128, 128));
namedWindow("resized", CV_WINDOW_AUTOSIZE);
imshow("resized", saveImg);
vector<int> compressionParams;
compressionParams.push_back(CV_IMWRITE_PXM_BINARY);
stringstream ss;
/*
1. To save images, first change the number below to the class which you are targetting.
2. [NOT NEEDED ANYMORE] Change the path below.
*/
ss<<4;
if(count < 10)
ss<<0<<count;
else
ss<<count;
// string save = "C:/Users/Rudra/Documents/Dev C++ Codes/btp final/" + ss.str() + ".pbm";
string save = ss.str() + ".pbm";
cout<<save<<endl;
imwrite(save, saveImg, compressionParams);
count++;
} else if(c == 'c') {
Mat img;
resize(imgLines, img, Size(128, 128));
namedWindow("resized", CV_WINDOW_AUTOSIZE);
// imshow("resized", img);
IplImage copy = img;
IplImage *new_img = ©
ocr.classify(new_img, 1);
} else if(c == 27) {
cout<<"ESC pressed.";
break;
} else {
// frame == blue-coloured pencil sharpener
if(countNonZero(frame) == 0) { // no shapener == black image
if( (imgLines.rows * imgLines.cols) - countNonZero(imgLines) == 0) { // no line drawn == white image
continue;
} else { // line drawn
if(timer == false) {
timer = true;
startTime = time(NULL);
continue;
} else {
double difft = difftime(time(NULL), startTime);
int diff = difft * 1000; // diff == milliseconds
if(diff < 70) {
continue;
}
// lots of time has passed since last blue colour was visible
timer = false;
}
Mat img;
resize(imgLines, img, Size(128, 128));
// imshow("resized", img);
IplImage copy = img;
IplImage *new_img = ©
ocr.classify(new_img, 1);
// reset image to blank
imgLines = Scalar(255);
}
}
}
}
return 0;
}