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2016-05-18 10:42:58 -0600 | received badge | ● Scholar (source) |

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2016-05-18 10:41:48 -0600 | asked a question | Getting nan from multiplying cv::Mat 's Hi. I have several images and I transformed them into a I get a matrix full of and in each of these cases I get a dense matrix that looks fine. I also tried to code like this: and again I get a matrix full of |

2016-05-17 11:32:04 -0600 | asked a question | Logistic Regression on MNIST dataset In this post you can find a very good tutorial on how to apply SVM classifier to MNIST dataset. I was wondering if I could use logistic regression instead of SVM classifier. So I searhed for Logistic regression in openCV, And I found that the syntax for both classifiers are almost identical. So I guessed that I could just comment out these parts: and replace it with: But first I got this error: OpenCV Error: Bad argument(data and labels must be a floating point matrix) Then I changed to: And now I get this error: OpenCV Error: bad argument(data should have atleast two classes) I have 10 classes (0,1,...,9) but I don't know why I get this error. My codes are almost identical with the ones in the mentioned tutorial. |

2016-04-22 07:40:46 -0600 | commented question | Contourlet transform in openCV Thats why I love computer vision, it has a pwerful backgroulnd. Well, I think I have to code it from scratch. |

2016-04-22 06:50:37 -0600 | commented question | Contourlet transform in openCV Thank you for your help. Do you know any good source that explains contourlet transform? My problem is that everything that I have found includes lots of mathematics and no algorithm for contourlet transform. |

2016-04-22 02:25:10 -0600 | received badge | ● Student (source) |

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2016-04-22 00:40:48 -0600 | asked a question | Contourlet transform in openCV In this SO post you can find some good implementations for wavelet transform. I was wondering if there is any code or library for contourlet transform in OpenCV or even an algorithm that shows how to implement contourlet transform. Contourlet is very useful in edge detection problems. Since the mathematics behind contourlet is hard I couldn't implement it myself. |

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