-
Notifications
You must be signed in to change notification settings - Fork 68
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
General use. #3
Comments
You can try. The first classifier, based on key-points is ok. But not shoure about the second one - color histogram may be not very usefull to detect guns or cars. |
Hmm.. Ok, what about indoor/outdoor? That seems really color/lighting based. |
That can be good for color/lighting based classifier, but not sure about key-points one :) You should try - why not. |
I want to try deep neural network with convolution laywers - may be it can provide a better quality. But not sure if it's possible to train on a small dataset. |
You can train on a small dataset, You just have to use more of the image. |
I tried tensorflow convolution neural network, it gave even better quality. I checked again, current detector provide only 84% quality, and I was able to achieve 89% with tensorflow. I will upload soon. |
Hey what about different kinds of porn? Straight/Gay? |
I don't have training data for that. If you have one - I can check. |
Not to be crude, but that should be really, really easy to gather, shouldn't it? Here: https://github.com/Rich700000000000/Fourchan-All-Images-Archiver |
Added neural-network detector (nnpcr.py). |
I have tried your model.bin and nnmodel.bin for porn image and I don't know which one is predicted as porn or not-porn. What the meaning of 0 and 1? Is it 0 for porn and 1 for not-porn? Thank you |
1 - porn, 0 - not-porn |
Can I know what kind of picture that you used for training the not-porn class? |
Some random categories from flickr. |
I'm fresh in CNN. I can't understand your "readme" about how to use your model to test a image on tensorflow, can you give me more details about this? thank you very much! |
I was about to train this, when I had an Idea: Since I provide all the data for this, couldn't I technically use this to detect anything in an image? Like guns, or cars?
I'm not trying to be a prude and attack your hard work, I was just wondering.
The text was updated successfully, but these errors were encountered: