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Hey,
I'm creating a face detection program using neural networks, and looking for some reliable training sets. I'm aware there's various sets around the web, but I've not idea how good they are. Any ideas where to start? Thanks.
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Im trying to build an app to detect images which are advertisements from the webpages. Once I detect those Ill not be allowing those to be displayed on the client side.
From the help that I got here in stackoverflow, I thought SVM is the best approach to my aim.
So, I have coded SVM and an SMO myself…
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How do you find the negative and positive training data sets of Haar features for the AdaBoost algorithm? So say you have a certain type of blob that you want to locate in an image and there are several of them in your entire array - how do you go about training it? I'd appreciate a nontechnical explanation…
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This is the class:
public class TrainingData
{
public string Training { get; set; }
}
And this is the rest of the code in MainWindow:
Excel.Workbook xlWorkbook = xlApp.Workbooks.Open("D:/excel.xlsx");
Excel._Worksheet xlWorksheet = xlWorkbook.Sheets[1];
Excel.Range xlRange = xlWorksheet…
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Hi,
I've been using OpenCV happily for a while, but now I have a problem which has bugged me for quite some time.
The following code is reasonably minimal example of my problem:
#include <cv.h>
#include <ml.h>
using namespace cv;
int main(int argc, char **argv) {
int sampleCountForTesting…
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