vector<vector<float> > Encoder::extractMultiLBP(Mat img, Mat landmarks, int level){
//Mat img = imread(img_path, CV_LOAD_IMAGE_COLOR);
VlLbp * lbp = vl_lbp_new (VlLbpUniform, VL_TRUE) ;
int dimensionx = patchSize / cellSize;
int dimensiony = patchSize / cellSize;
int dimensionc = vl_lbp_get_dimension(lbp) ;
vector<vector<float> > ret;
float* code = new float[dimensionx*dimensiony*dimensionc];
//cout<<"dim: "<<dimensionx<<" "<<dimensiony<<" "<<dimensionc <<endl;
for (int l = 0; l < level; l++){
int tmpcellSize = cellSize - l;
int tmppatchSize = tmpcellSize*dimensionx;
for (unsigned int i = 0; i < landmarks.cols; i++){
if (landmarks.at<float>(0, i) > patchSize/2 && landmarks.at<float>(1, i) > patchSize/2 && landmarks.at<float>(0, i) + patchSize/2 < img.cols && landmarks.at<float>(1, i) + patchSize/2 < img.rows){
Mat roi(img, Rect(landmarks.at<float>(0, i) - tmppatchSize/2 , landmarks.at<float>(1, i) - tmppatchSize/2, tmppatchSize, tmppatchSize));
vector<float> data;
if (lbp == NULL) {
cout<<"fail to init LBP detector"<<endl;
return ret;
}
for (int j = 0; j < roi.cols; j++){
for (int k = 0; k < roi.rows; k++){
data.push_back((float)roi.at<unsigned char>(k, j)/255);
}
}
//float* features = new float[dimensionx * dimensiony * dimensionc];
//cout<<"code size: x: "<<dimensionx<<" y: "<<dimensiony<<" c: "<<dimensionc<<endl;
for (int j = 0; j < dimensionx*dimensiony*dimensionc; j++){
code[j] = 0;
}
vl_lbp_process(lbp, code, &data[0], tmppatchSize, tmppatchSize, tmpcellSize);
vector<float> lbpCode;
for (int j = 0; j < dimensionx*dimensiony*dimensionc; j++){
//cout<<code[j]<<" ";
lbpCode.push_back(code[j]);
}
ret.push_back(lbpCode);
//cout<<"feature "<<i/2<<" size: "<<ret.size()<<endl;
}
else{
cout<<"Patch out of bound: "<<landmarks.at<float>(0, i)<<" "<<landmarks.at<float>(1, i)<<endl;
exit(1);
}
}
}
delete[] code;
vl_lbp_delete(lbp);
return ret;
}
void LBP_ADAPTER::clear_model_related_data()
{
m_has_extracted = false;
if (m_lbp_model)
{
vl_lbp_delete(m_lbp_model);
m_lbp_model = NULL;
}
if (m_lbp_features)
utils::myfree(&m_lbp_features);
}
void
mexFunction(int nout, mxArray *out[],
int nin, const mxArray *in[])
{
float * image ;
vl_size width, height ;
vl_size cellSize = 16 ;
enum {IN_I = 0, IN_CELLSIZE} ;
enum {OUT_FEATURES = 0} ;
/* -----------------------------------------------------------------
* Check the arguments
* -------------------------------------------------------------- */
if (nin > 2) {
vlmxError(vlmxErrTooManyInputArguments, NULL) ;
}
if (nin < 2) {
vlmxError(vlmxErrNotEnoughInputArguments, NULL) ;
}
if (nout > 1) {
vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
}
if (! mxIsNumeric(IN(I)) ||
! vlmxIsReal(IN(I)) ||
! vlmxIsMatrix(IN(I), -1, -1)) {
vlmxError(vlmxErrInvalidArgument,
"I is not a numeric matrix.") ;
}
if (mxGetClassID(IN(I)) != mxSINGLE_CLASS) {
vlmxError(vlmxErrInvalidArgument,
"I is not of class SINGLE.") ;
}
if (! vlmxIsPlainScalar(IN(CELLSIZE))) {
vlmxError(vlmxErrInvalidArgument,
"CELLSIZE is not a plain scalar.") ;
}
if (mxGetScalar(IN(CELLSIZE)) < 1.0) {
vlmxError(vlmxErrInvalidArgument,
"CELLSIZE is less than 1.") ;
}
cellSize = (vl_size) mxGetScalar(IN(CELLSIZE)) ;
image = mxGetData(IN(I)) ;
width = mxGetN(IN(I)) ;
height = mxGetM(IN(I)) ;
/* do job */
{
/* recall that MATLAB images are transposed */
mwSize dimensions [3] ;
/* get LBP object */
VlLbp * lbp = vl_lbp_new (VlLbpUniform, VL_TRUE) ;
if (lbp == NULL) {
vlmxError(vlmxErrAlloc, NULL) ;
}
/* get output buffer */
dimensions[0] = height / cellSize ;
dimensions[1] = width / cellSize ;
dimensions[2] = vl_lbp_get_dimension(lbp) ;
OUT(FEATURES) = mxCreateNumericArray(3, dimensions, mxSINGLE_CLASS, mxREAL) ;
vl_lbp_process(lbp, mxGetData(OUT(FEATURES)), image, height, width, cellSize) ;
vl_lbp_delete(lbp) ;
}
}
vector<vector<float> > Encoder::extractTunedLBP(Mat normMat, Mat landmarks){
//40x20x2, 100x40, 40x50, 60x40
VlLbp * lbp = vl_lbp_new (VlLbpUniform, VL_TRUE) ;
int binSize = vl_lbp_get_dimension(lbp) ;
vector<vector<float> > ret;
//hard code max LBP size
float* code = new float[50 * 50 * binSize];
int tunedCellSize = 5;
int tunedCols, tunedRows;
vector<float> lbpCode;
for (int l = 0; l <= 2; l++){
for (int i = 0; i < landmarks.cols; i++){
switch (i){
case 0:
case 1:
case 2:
case 3:
tunedCols = 30 + 10*l;
tunedRows = 10 + 10*l;
break;
case 4:
tunedCols = 70 + 20*l;
tunedRows = 30 + 10*l;
break;
case 5:
tunedCols = 30 + 10*l;
tunedRows = 40 + 20*l;
break;
case 6:
tunedCols = 40 + 20*l;
tunedRows = 30 + 10*l;
break;
case 7:
case 8:
tunedCols = 30 + 10*l;
tunedRows = 40 + 20*l;
break;
case 9:
tunedCols = 40 + 10*l;
tunedRows = 20;
break;
case 10:
tunedCols = 60 + 20*l;
tunedRows = 30;
break;
case 11:
tunedCols = 40 + 10*l;
tunedRows = 20 + 10*l;
break;
/*
case 0:
case 1:
case 2:
case 3:
tunedCols = 40 - 10*l;
tunedRows = 20 - 10*l;
break;
case 4:
tunedCols = 100 - 20*l;
tunedRows = 40 - 10*l;
break;
case 5:
tunedCols = 40 - 10*l;
tunedRows = 60 - 20*l;
break;
case 6:
tunedCols = 60 - 20*l;
tunedRows = 40 - 10*l;
break;
case 7:
case 8:
tunedCols = 40 - 10*l;
tunedRows = 60 - 20*l;
break;
case 9:
tunedCols = 60 - 20*l;
tunedRows = 20;
break;
*/
default:
cout<<"Wrong landmark size: "<<i<<endl;
exit(1);
}
if (landmarks.at<float>(0, i) > tunedCols/2 && landmarks.at<float>(1, i) > tunedRows/2 && landmarks.at<float>(0, i) + tunedCols/2 < normMat.cols && landmarks.at<float>(1, i) + tunedRows/2 < normMat.rows){
Mat roi(normMat, Rect(landmarks.at<float>(0, i) - tunedCols/2 , landmarks.at<float>(1, i) - tunedRows/2, tunedCols, tunedRows));
vector<float> data;
if (lbp == NULL) {
cout<<"fail to init LBP detector"<<endl;
return ret;
}
for (int j = 0; j < roi.cols; j++){
for (int k = 0; k < roi.rows; k++){
data.push_back((float)roi.at<unsigned char>(k, j)/255);
}
}
for (int j = 0; j < (tunedCols/tunedCellSize) * (tunedRows/tunedCellSize) * binSize; j++){
code[j] = 0;
}
vl_lbp_process(lbp, code, &data[0], tunedCols, tunedRows, tunedCellSize);
for (int j = 0; j < (tunedCols/tunedCellSize) * (tunedRows/tunedCellSize) * binSize; j++){
//cout<<code[j]<<" ";
lbpCode.push_back(code[j]);
}
//if (i != 0 && i != 2){
ret.push_back(lbpCode);
lbpCode.clear();
//}
//cout<<"feature "<<i/2<<" size: "<<ret.size()<<endl;
}
else{
cout<<"Patch out of bound: "<<landmarks.at<float>(0, i)<<" "<<landmarks.at<float>(1, i)<<endl;
cout<<"Cols: "<<tunedCols<<" Rows: "<<tunedRows<<endl;
exit(1);
}
}
}
delete[] code;
vl_lbp_delete(lbp);
return ret;
}
