# Problem with computing Histogram of Oriented Gradients (HOG)

Hi,

In order to understand the mechanics of Histogram of Oriented Gradients proposed by Dalal and Triggs, I have tried to hard code the HOG algorithm. However I am having some problems. It says

OpenCV error: Unsupported format or combination of formats () in calcHist....
error: (-210) in function calcHist


I am not quite sure what format of the function argument that is not right. This is the code:

void hog::hog_process(Mat &direction) // direction is a 128 by 64 gradient direction matrix.
{

Size blockSize(8,8);
Size cellSize(4,4);

vector<Mat> block;
Size s =  direction.size();
Mat cell_eightPx;
Mat cell_fourPx;

// Essentially split the image into 8 by 8 cells. HOG processing of each block should be essiantially here.
// the 8 by 8 cells are then split again into 4 by 4 cells
for(int col = 0; col < direction.rows; col += blockSize.height)
{
for(int row = 0; row < direction.cols; row += blockSize.width)
{
Rect rect= Rect(row, col,blockSize.width,blockSize.height);

cell_eightPx = Mat(direction,rect); // Get a 8 by 8 cell from the gradient direction matrix.

//**********COMPUTE 9 bin gradient direction histogram of the 8 by 8 cell here !!! ****
for(int i = 0; i < cell_eightPx.rows; i += cellSize.height)
{
for(int j  = 0; j < cell_eightPx.cols; j += cellSize.width)
{
Rect rect_fourPx = Rect(i,j,cellSize.width,cellSize.height); // 4 by 4 rectangle size
cell_fourPx = Mat(cell_eightPx,rect_fourPx); // create a 4 by 4 cell from gradient direction matrix (cell_eightPx)
gradientHist(cell_fourPx); // Function call, Calculate gradient histogram of the 4 by 4 cell.
cell_fourPx.deallocate(); // clear the cell.
}
}
}
}
}


After partitioning the image with 4 by 4 cells as the above code the 9 bin histogram calculation is as follows:

void hog::gradientHist(Mat &cell_fourPx)
{
Mat hist;
ofstream feature("Hist_Values.csv",std::ofstream::app);

// create a 9 bin histogram with range from 0 t0 180 for HOG descriptors.
int histSize = 9;
float range[] = {0,180};
const float *histRange = {range};
bool uniform = true;
bool accumulate = false;

calcHist(&cell_fourPx, 1, 0,Mat(),hist, 1, &histSize, &histRange, uniform, accumulate); //Calculate the 9 bin histogram.

normalize(hist, hist, 0, 0, NORM_MINMAX, -1, Mat());

for(int i = 0; i < histSize; i++)
{
feature << hist.at<float>(i) << ","; // Output the value of HOG to a csv file
}

}


Any suggestions/ directions are very much welcomed. I may have overlooked something. Thanks in advance.

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