2017-03-14 06:45:50 -0600 | received badge | ● Self-Learner (source) |
2017-03-13 21:20:41 -0600 | answered a question | program will stuck when using detectMultiScale Already solved. Disable OpenCl when compiling OpenCv. |
2017-02-19 04:00:35 -0600 | commented question | program will stuck when using detectMultiScale
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2017-02-18 00:12:21 -0600 | commented question | program will stuck when using detectMultiScale
When I use haartraining, the trained 5-stage classifier works well but very slow. In this case, what can I do to improve the detection speed? Do I need to use more positive and negative samples to train the classifier? However, when I use cascade training (both 2.4.10 and 3.2), the problem still exists. The test image size is 210*115. It's hard to judge whether it is too slow or stuck. In this case, what can I do? Do I need to do more experiment or provide more information? |
2017-02-16 09:43:35 -0600 | commented question | program will stuck when using detectMultiScale I'm sorry I misunderstood your words. I create samples using I train the classifier using The test image is https://raw.githubusercontent.com/lqj1990/TestCascade/master/test/test.jpg (image) I try the sample code facedetect.cpp, it also does not work on my computer with the same problem. |
2017-02-16 09:01:38 -0600 | commented question | program will stuck when using detectMultiScale I use OPenCV 3.1.The test image is not very large. When I change the xml file, for example https://github.com/andrewssobral/vehicle_detection_haarcascades/blob/master/cars.xml, my program works well. The format of this file is different with the one trained by myself. I don't know whether the problem is related to the format of xml file. |
2017-02-16 00:52:15 -0600 | asked a question | program will stuck when using detectMultiScale I trained a cascade classifier to detect cars. I have 415 positive samples and 544 negative samples. After I trained the classifier, I got cascade.xml. When I use it in my program, the program will stuck when execute detectMultiScale function. But if I used trained classifier by others, there is no problem. I compare the xml file, there are some difference. I don't know whether the problem is caused by the version of xml file. Dose any one have some idea? |