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| 2020-10-27 05:27:20 -0600 | received badge | ● Student (source) |
| 2020-10-27 05:24:31 -0600 | received badge | ● Popular Question (source) |
| 2014-07-09 08:05:37 -0600 | commented answer | negative images used for training Thanks a lot. It cleared my doubts. Another question is can I just take the cropped image of my TV remote and using "image_name.jpg 1 0 0 <width> <height>" as the entry in my file or is it better to have an image in which the TV remote takes only part of the image ? |
| 2014-07-09 07:46:52 -0600 | received badge | ● Editor (source) |
| 2014-07-09 07:45:30 -0600 | asked a question | negative images used for training I'm pretty new to OpenCv. I'm using this method : https://github.com/mrnugget/opencv-haar-classifier-training to train my classifier. Right now I'm just testing if everything works so I'm using 18 positive samples and only 1 negative sample. Since I'm just testing if everything works, I just want to detect my TV remote (I used the images of my TV remote as positive samples). And the 1 negative image which I used was the image of my mattress on which the TV remote is lying. I want to ask am I heading in the right direction using only 1 negative sample i.e. image of my mattress on which TV remote is lying ? If not, what should we actually use as negative samples. Please consider me having no knowledge of algorithms being used here. I'm just reading over the internet. |
| 2014-07-09 06:22:37 -0600 | received badge | ● Supporter (source) |