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2013-05-21 14:44:18 -0600	commented question	ANN prediction I am using OpenCV 2.4.3 version.
2013-05-21 14:35:28 -0600	commented question	ANN prediction Hi Berak, Thank you for your reply. I get the same result for most cases, but for some rows, the response differs. For example, for the input data I have column1 for solution1 and column2 for solution2 : Column1 Column2 1.80621 1.80621 1.80621 1.80621 1.80621 1.80621 1.80621 1.80621 1.80621 1.80621 1.80621 1.80621 1.80621 1.80621 -0.309371 -0.309371 1.80621 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 -0.309371 1.80621 1.80621 1.80621 -0.309371 1.80621 1.80621 1.80621 1.80621 1.80621 1.80621 1.80621 1.80621 1 ... (more)
2013-05-20 16:53:47 -0600	received badge	● Student (source)
2013-05-20 14:18:11 -0600	asked a question	ANN prediction I am using CvANN_MLP. When I call predict(), I don't get the same responses when I give all the data at once (1 row = vector) and when I make a loop and submit the vector one by one myself. Here are my 2 solutions : solution1 : `for (int z = 0; z<valid_data.rows; z++) { Mat sample = valid_data.row(z); Mat result_test = Mat(1, 1, CV_32FC1); ann.predict(sample, result_test); result_.at<float>(z) = result_test.at<float>(0); }` solution2 : `float res = ann.predict(valid_data, result_);` They don't give the same result, but they sould right?