How to train good cascade? [closed]
Hello. I have a task to find a dot on the screen. Can you help me to train the best cascade? What settings should I use? Now maded cascade can't find my dot or chooses a lot of false items on the screen.
Here is my Good and Bad samples:
Example of the image with dot in Good folder:
Example of the image file without dot from Bad folder:
Some comments
fixed, thank you for your reply. I'm not sure how it correctly name in english - maybe circle will be better.
There is no object in your test image?
first two images is an example of my object, I'll add full Good folder screenshot.
i'm afraid, too, that your idea won't work, ever.
your dots seem pretty random, it needs something "rigid", with a well defined texture here (think of a face, or a stop-sign)
also, it can't learn anything from "just black" negative images.
again, most probably it's the wrong tool for your job. try with much simpler tools, like the SimpleBlobDetector, findContours, etc.
ok, sry. I just tried to explain
nvm, it's actually a good image, because it highlights the problem (input data far too random) !
Good images was made with 2 cameras. Will it work if I'll make to cascade for each camera?
sorry, but you'll probably have to look for an alternative method of detecting those dots.
training cascades on this unfortunately seems to be an entire waste of time
What will be better to use?