void VideoPlayback::decodeVideoFrame()
{
try {
unique_lock<mutex> lock(m_access);
while (m_threadRunning) {
if (m_videoFrames.size() == 0) {
m_condition.wait(lock);
continue;
}
EncodedVideoFrame encodedFrame = m_videoFrames.front();
m_videoFrames.pop_front();
unsigned int size = m_videoFrames.size();
lock.unlock();
// decode the frame
vector<char> buf(encodedFrame.data.get(), encodedFrame.data.get() + encodedFrame.dataLength);
cv::Mat img(buf);
cv::Mat frame = imdecode(img, -1);
// display the decoded frame
try {
imshow(m_windowName, frame);
}
catch (std::exception& e) {
cout << "VideoPlayback: Imshow Exception caught:" << endl << e.what() << endl;
}
cv::waitKey(1);
lock.lock();
}
}
catch (thread_interrupted&) {
}
}
//JNIEXPORT jbyteArray JNICALL Java_com_ocr_jni_Mser_detectIdNum
JNIEXPORT jbyteArray JNICALL Java_org_smirkcat_plateocr_Mser_detectIdNum
(JNIEnv *env, jobject obj, jbyteArray image){
jboolean isCopy = JNI_FALSE;
int size = env->GetArrayLength(image);
jbyte* imagebuffer = env->GetByteArrayElements(image, &isCopy);
if (NULL == imagebuffer)
{
return NULL;
}
vector<uchar> outputdata;
Mser fun;
Mat src = imdecode(Mat(1, size, CV_8U, imagebuffer), IMREAD_COLOR);
Mat dst = fun.detectNumber(src);
if (!dst.data)
return NULL;
env->ReleaseByteArrayElements(image, imagebuffer, 0);
imencode(".bmp", dst, outputdata);
jbyteArray outarray = env->NewByteArray(outputdata.size());
env->SetByteArrayRegion(outarray, 0, outputdata.size(), (jbyte*)&outputdata[0]);
return outarray;
}
/**
* @brief FacialModule::onScoreRequest
* On charge le modèle contenue dans le filename
* On enregistre l'image de la personne dans une Mat
* On tente la reconnaissance
* @param p
*/
void FacialModule::onScoreRequest(Packet *p) {
ScoreResultPacket pReturn(p);
ScoringVector *score = new ScoringVector();
FacialUtils::loadFaceRecognizer(_faceRecognizer, FACERECO);
vector<uint8> img(p->getData(), p->getData() + p->getBodySize());
Mat m = imdecode(img, CV_LOAD_IMAGE_GRAYSCALE);
//On recupère la prediction;
double confidence = 0.0;
int predictedLabel = -1;
try {
_faceRecognizer->predict(m, predictedLabel, confidence);
} catch(Exception) {
*this << WARNING << "Impossible de prédire un score" << endl;
score->push_back(Score("Inconnu", confidence));
}
map<int, string> names = FacialUtils::reloadFromCSVFile(FICHIER);
if(predictedLabel != -1) {
score->push_back(Score(names[predictedLabel], confidence));
//*this << INFO << names[predictedLabel] << confidence << endl;
}
pReturn.setScoringVector(score)->doSend();
}
Mat JpegImage::toOpenCvMat(Image& image)
{
// image.getWidth(), image.getHeight()
vector<char> imageData = image.getImageData();
//Mat buf(Size(480, 720), CV_8U, &imageData[0]);
Mat buf(Size(image.getWidth(), image.getHeight()), CV_8U, &imageData[0]);
Mat matImage = imdecode(buf, CV_LOAD_IMAGE_COLOR);
return matImage;
}
MatPtr Util::imageToMat(const char *data, int len) {
if (!data || len <= 0) {
return nullptr;
}
std::vector<char> vec(data, data + len);
if (vec.size() == 0) {
return nullptr;
}
auto mat = MatPtr(new cv::Mat);
imdecode(cv::Mat(vec), CV_LOAD_IMAGE_COLOR, mat.get());
return mat;
}
/**
* Image file reader.
*
* @FUTURE: RAW format reader.
*/
void DigitalCameraCapture::readFrameFromFile(CameraFile * file, OutputArray outputFrame)
{
// FUTURE: OpenCV cannot read RAW files right now.
const char * data;
unsigned long int size;
CR(gp_file_get_data_and_size(file, &data, &size));
if (size > 0)
{
Mat buf = Mat(1, size, CV_8UC1, (void *) data);
if(!buf.empty())
{
frame = imdecode(buf, CV_LOAD_IMAGE_UNCHANGED);
}
frame.copyTo(outputFrame);
}
}
u_int32_t ImageLoader::loadImage(unsigned i_imgSize, char *p_imgData, Mat &img)
{
vector<char> imgData(i_imgSize);
memcpy(imgData.data(), p_imgData, i_imgSize);
try
{
img = imdecode(imgData, CV_LOAD_IMAGE_GRAYSCALE);
}
catch (cv::Exception& e) // The decoding of an image can raise an exception.
{
const char* err_msg = e.what();
cout << "Exception caught: " << err_msg << endl;
return IMAGE_NOT_DECODED;
}
if (!img.data)
{
cout << "Error reading the image." << std::endl;
return IMAGE_NOT_DECODED;
}
unsigned i_imgWidth = img.cols;
unsigned i_imgHeight = img.rows;
if (i_imgWidth > 1000
|| i_imgHeight > 1000)
{
cout << "Image too large." << endl;
return IMAGE_SIZE_TOO_BIG;
}
#if 1
if (i_imgWidth < 200
|| i_imgHeight < 200)
{
cout << "Image too small." << endl;
return IMAGE_SIZE_TOO_SMALL;
}
#endif
return OK;
}
/**
* @brief FacialModule::onTrainRequest
* On cherche le dernier label du fichier csv
* On vérifie que le nom envoyé n'est pas contenu dans le csv
*
* 2 - Absence de la personne
* --- on ouvre le fichier csv en écriture et on enregiste la personne
* --- sous la forme "dernierlabel;nom". On entraine ensuite le modele
* --- et on met à jour les informations contenues dans le fichier csv
*
* 1 - Présence de la personne
* --- on met juste à jour le modele en donnant l'image de personne
* --- et son label associé
*
* @param p
*/
void FacialModule::onTrainRequest(Packet *p) {
*this << DEBUG << "Train Request" << endl;
*this << DEBUG << "Loading FaceRecognizer..." << endl;
FacialUtils::loadFaceRecognizer(_faceRecognizer, FACERECO);
*this << DEBUG << "FaceRecognizer loaded" << endl;
TrainRequestPacket trp(p);
string name = trp.getPerson()->getId(); //nom de la personne
vector<uint8> img(trp.getTrainData(), trp.getTrainData() + trp.getTrainDataSize());
char a[50];
Mat m = imdecode(img, CV_LOAD_IMAGE_GRAYSCALE);
int labelName = FacialUtils::labelFromName(FICHIER, name);
vector<Mat> newImage;
vector<int> newLabel;
newImage.push_back(m);
if(labelName == -1) {
labelName = FacialUtils::lastClassLabel(FICHIER);
FacialUtils::newUser(FICHIER, labelName, name);
}
newLabel.push_back(labelName);
_faceRecognizer->update(newImage, newLabel);
*this << DEBUG << "Train Request complete" << endl;
_faceRecognizer->save(FACERECO);
TrainResultPacket pReturn(p);
pReturn.doSend();
}
/*
* downloads the image from the manager' from the urlDownload
*/
bool Job::download(Employee &employee, HttpLineInterperter *resConfiguration)
{
cout<<"Resource is:"<<resConfiguration->getResource()<<endl;
string downloadRequest = "GET /photos/" +
resConfiguration->getResource() +
"?rep=" + this->repDownload +
" HTTP/1.1";
employee.send(downloadRequest);
employee.send("Host: "+employee.getHost()+"\n");
HttpLineInterperter downResponsetInterperter;
string s;
while(employee.getFrameAscii(s) && s.size()>1)
{
downResponsetInterperter.insertLine(s);
s.clear();
}
//if we succeded in downloading the image
if(downResponsetInterperter.getStatus() == "200 OK")
{
//init a new byte array in the size of the content length
int byteLength = downResponsetInterperter.getContentLength();
uchar* dataByte = new uchar[byteLength];
employee.getBytes(dataByte , byteLength);
//dataBytes holds the bytes for the image
this->mimeType = downResponsetInterperter.getContentType();
//cout<<dataByte<<endl;
vector<uchar> vecByte(dataByte , dataByte + byteLength/sizeof(uchar));
//-1 as a flag means we get the image as is.
this->image=imdecode(Mat(vecByte) , -1);
cout<<"BLJKADSLVGJASDLFAS"<<endl;
this->gP.setImage(&(this->image));
delete [] dataByte;
return true;
}
return false;
}
void MainWindow::decrypt()
{
FILE *f = fopen(filename.c_str(), "rb");
if (!f) {
QMessageBox::critical(0, "Error", "No image file is loaded!!");
return;
}
isEncryption = false;
QString text = QInputDialog::getText(this, "Password",
"Please enter your password for decryption",
QLineEdit::Password, QString());
string pwd = string((const char *)text.toLocal8Bit());
MD5 md5(pwd);
key = md5.getDigest();
AES aes(key);
unsigned char info[16] = "";
fseek(f, -16, SEEK_END);
fread(info, 1, 16, f);
// verify key and info
aes.InvCipher(info);
if (memcmp(info+8, "SEAcret", 7)) {
QMessageBox::critical(0, "Error", "Incorrect password or there is no secret in the image");
return;
}
int buf_size[2];
memcpy(buf_size, info, sizeof(int)*2);
fseek(f, -16-buf_size[0]-buf_size[1], SEEK_END);
unsigned char *temp;
vector<unsigned char> mask_buf(buf_size[0]);
vector<unsigned char> secret_buf(buf_size[1]);
fread(&mask_buf[0], 1, buf_size[0], f);
fread(&secret_buf[0], 1, buf_size[1], f);
fclose(f);
for (int i = 0; i < buf_size[0]; i+=16) {
temp = &mask_buf[0]+i;
aes.InvCipher(temp);
}
Mat mask = imdecode((Mat)mask_buf, CV_LOAD_IMAGE_GRAYSCALE);
mask = mask > 128;
for (int i = 0; i < buf_size[1]; i+=16) {
temp = &secret_buf[0]+i;
aes.InvCipher(temp);
}
Mat secret = imdecode((Mat)secret_buf, 1);
_dst = imread(filename, 1);
secret.copyTo(_dst, mask);
imshow("Result", _dst);
waitKey(0);
destroyAllWindows();
}
EasyOcr::EasyOcr(std::vector<char> &imgData) {
this->mat = imdecode(cv::Mat(imgData), CV_LOAD_IMAGE_COLOR);
this->result = "";
}
int analyse(const char* filename, const char* outFile){
Mat img = cv_imread(filename), imgG, imgTmp;
if(!img.data){
//cerr << "invalid image" << endl;
throw "[ghosts] invalid image";
}
cvtColor(img, imgG, CV_BGR2GRAY);
int bCntX = (img.cols - w ) / bSize, bCntY = (img.rows - w) / bSize;
int bCnt = bCntX * bCntY;
int bCntR = bCnt;
int res = 0;
vector<vector<vector<double> > > bGhosts(bCnt);
vector<vector<vector<double> > > bInv(bCnt);
vector<double> bPredict(bCnt);
for(int i = 0; i < bCnt; i++){
bGhosts[i].resize(w * w);
for(int j = 0; j < w * w; j++)
bGhosts[i][j].resize(101);
}
double elaAv = 0.0;
for(int q = min(qNorm, qMin); q <= qMax; q++){
if(!(q == qNorm || (q >= qMin && q <= qMax)))
continue;
for(int j = 0; j < w * w; j++){
Rect curRoi = Rect(j % w, j / w, img.cols - j % w, img.rows - j / w);
vector<int> compParams;
vector<uchar> buff;
compParams.push_back(CV_IMWRITE_JPEG_QUALITY);
compParams.push_back(q);
imencode(".jpg", imgG(curRoi), buff, compParams);
imgTmp = imdecode(buff, 0);
for(int i = 0; i < bCnt; i++){
bGhosts[i][j][q] = calcDiff(imgG(curRoi), imgTmp, bCoordX, bCoordY, bCoordX + bSize, bCoordY + bSize);
if(q == qNorm && j == 1)
elaAv += bGhosts[i][j][q];
}
}
fprintf(stderr, "\r%d", q);
}
elaAv /= bCnt;
for(int i = 0; i < bCnt; i++){
vector<double> predictArgsV;
predictArgsV.push_back(bCoordX);
predictArgsV.push_back(bCoordY);
predictArgsV.push_back(elaAv);
predictArgsV.push_back(bGhosts[i][1][qNorm]);
bPredict[i] = predictF(imgG, predictArgsV);
if(bPredict[i] == 1)
bCntR--;
}
for(int i = 0; i < bCnt; i++)
for(int j = 0; j < w * w; j++)
bGhosts[i][j] = nrm(bGhosts[i][j]);
if(1){
for(int i = 0; i < bCnt; i++){
bInv[i].resize(101);
if(bPredict[i] == 1)
continue;
vector<double> m1V(101), m2V(101);
for(int q = qMin; q <= qMax; q++){
for(int j = 1; j < w * w; j++) // -- j = 1
m1V[q] += bGhosts[i][j][q];
m1V[q] /= w * w - 1;
}
for(int q = qMin; q <= qMax; q++){
for(int j = 1; j < w * w; j++) // -- j = 1
m2V[q] += bGhosts[i][j][q] * bGhosts[i][j][q];
m2V[q] = sqrt(m2V[q] / (w * w - 1) - m1V[q] * m1V[q]);
}
for(int q = qMin; q <= qMax; q++){
double maxD = -1, minD = 2;
for(int j = 1; j < w * w; j++){ // -- j = 1
if(bGhosts[i][j][q] < minD)
minD = bGhosts[i][j][q];
if(bGhosts[i][j][q] > maxD)
maxD = bGhosts[i][j][q];
}
double dlt = max((maxD - minD) / 3.0, 0.01);
double dlt1 = max((maxD - minD) / 6.0, 0.004);
if((bGhosts[i][0][q] < minD - dlt || bGhosts[i][0][q] > maxD + dlt)/* && q <= qMax - 3 && q >= qMin + 3*/){
bInv[i][q].push_back(1);
}else
bInv[i][q].push_back(0);
if((bGhosts[i][0][q] < minD - dlt1 || bGhosts[i][0][q] > maxD + dlt1)/* && q <= qMax - 3 && q >= qMin + 3*/){
bInv[i][q].push_back(1);
}else
bInv[i][q].push_back(0);
}
}
vector<double> qMask(101);
int qMaskCnt = 0;
for(int q = qMin; q <= qMax; q++){
for(int i = 0; i < bCnt; i++){
if(bPredict[i] == 1)
continue;
if(bInv[i][q][0] == 1)
qMask[q]++;
}
if(qMask[q] / bCntR > 0.5){
qMask[q] = 1;
qMaskCnt++;
}else
qMask[q] = 0;
cerr << qMask[q];
}
cerr << endl;
if(qMaskCnt < 3){
//cerr << "don't want to analyse" << endl;
//throw "[ghosts] don't want to analyse";
return -1;
}
for(int i = 0; i < bCnt; i++){
int clr;
if(bPredict[i] == 1)
clr = 0;
else{
int tmpI2 = 0;
for(int q = qMin; q <= qMax; q++)
if(qMask[q] == 1 && bInv[i][q][1] == 1){
tmpI2++;
}
if((tmpI2 <= 0 && qMaskCnt >= 3) ||
(tmpI2 <= 1 && qMaskCnt >= 4) ||
(tmpI2 <= 2 && qMaskCnt >= 5) ||
(tmpI2 <= 3 && qMaskCnt >= 8))
tmpI2 = 0;
clr = (tmpI2 == 0);
}
if(clr){
res++;
for(int ix = bCoordX; ix < bCoordX + bSize; ix++)
for(int iy = bCoordY; iy < bCoordY + bSize; iy++)
img.at<Vec3b>(iy, ix)[2] = 255;
}
}
if(outFile)
cv_imwrite(outFile, img);
}
return res;
}