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 going in the correct direction using only 1 image 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.
