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 | 1 | initial version |
Createsamples utility will distort and rotate real positive samples to create new samples. This might work with rigid objects like logos, but will fail when the object is complex such as a cat. What you need to do is to record a video of your cat and after one minute you will have 1800 positive samples of your cat (assuming camera recording at 30 FPS), and then you use that data to train you classifier.
Furthermore, I am not sure if I understood correctly what you said, but do you really want a Haar detector that will single out your cat from cats that are not yours? If this is it, then it wont work. What will happen is that all kinds of cats are going to be detected, as well as some cat-like creatures, such as dogs, and there are always the random false positves. Haar Cascades are cool, but there are no miracles.
Good luck
| | 2 | No.2 Revision |
Createsamples utility will distort and rotate real positive samples to create new samples. This might work with rigid objects like logos, but will fail when the object is complex such as a cat. What you need to do is to record a video of your cat and after one minute you will have 1800 positive samples of your cat it (assuming camera recording at 30 FPS), and then you use that data to train you classifier.
Furthermore, I am not sure if I understood correctly what you said, but do you really want a Haar detector that will single out your cat from cats that are not yours? If this is it, then it wont work. What will happen is that all kinds of cats are going to be detected, as well as some cat-like creatures, such as dogs, and there are always the random false positves. Haar Cascades are cool, but there are no miracles.
Good luck
| | 3 | No.3 Revision |
Createsamples utility will distort and rotate real positive samples to create new samples. This might work with rigid objects like logos, but will fail when the object is complex such as a cat. What you need to do is to record a video of your cat and after one minute you will have 1800 positive samples of it (assuming camera recording at 30 FPS), and then you use that data to train you your classifier.
Furthermore, I am not sure if I understood correctly what you said, but do you really want a Haar detector that will single out your cat from cats that are not yours? If this is it, then it wont work. What will happen is that all kinds of cats are going to be detected, as well as some cat-like creatures, such as dogs, and there are always the random false positves. Haar Cascades are cool, but there are no miracles.
Good luck
