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| 2016-04-21 07:20:20 -0600 | received badge | ● Editor (source) |
| 2016-04-21 04:38:32 -0600 | asked a question | How to train a CascadeClassifier to detect object with different aspect ratio? I tried to detect object which could have different aspect ration in the positive photo. I used the next params: opencv_traincascade -data haarcascade -vec samples.vec -bg negative.dat -numStages 15 -minhitrate 0.99 -maxFalseAlarmRate 0.4 -numPos 797 -numNeg 933 -w 15 -h 30 -mode ALL -precalcValBufSize 2048 -precalcIdxBufSize 2048 So, aspect ratio is 1:2 in the image pattern. And when I use a generated cascade.xml I can detect an object in the pictures only with the similar aspect ratio. But some photos contains objects with 2:3 or even 1:1 ratio. How can I detect these objects? |