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Fixed grammar and added minor clarifications

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Davis King 2013-10-01 23:05:46 -04:00
parent 38ec659bed
commit c9339b7934
1 changed files with 5 additions and 5 deletions
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10
examples/fhog_ex.cpp
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@ -11,7 +11,7 @@
P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 9, Sep. 2010
This means that it takes an input image and outputs Felzenszwalb's
31 dimensional version of HOG features. We show it's use below.
31 dimensional version of HOG features. We show its use below.
*/
@ -55,7 +55,7 @@ int main(int argc, char** argv)
cout << "hog image has " << hog.nr() << " rows and " << hog.nc() << " columns." << endl;
// Lets see what the image and also the FHOG features look like.
// Lets see what the image and FHOG features look like.
image_window win(img);
image_window winhog(draw_fhog(hog));
@ -71,12 +71,12 @@ int main(int argc, char** argv)
cout << "FHOG features at this point: " << trans(hog[hp.y()][hp.x()]) << endl;
}
// Finally, sometimes you want to get a "planar" representation of the HOG features
// Finally, sometimes you want to get a planar representation of the HOG features
// rather than the explicit vector (i.e. interlaced) representation used above.
dlib::array<array2d<float> > planar_hog;
extract_fhog_features(img, planar_hog);
// Now we have an array of 31 float valued images, each representing one of the
// dimensions of the HOG feature vector.
// Now we have an array of 31 float valued image planes, each representing one of
// the dimensions of the HOG feature vector.
}
catch (exception& e)
{