<-- Archived --> *Image tagging concept

[CherryWood]

If I understood Rudi correctly, yes. But it's what I've called "partner hidden" so we might use both or just one tag.

Ok, partner hidden is it then. (both are equally confusing  ) (Tag for images that could be used for player interactions seems like one of the most useful ones)

Yes and especially "indifferent", "ecstatic" and so on. I think I can use them in brothel events. If nothing applies, don't tag them with mood tags.

Ok, I'll try... it's just really hard to tell sometimes from all those funny faces 


Thanks for all answers!

[Xela]

Yeah, I'd also rather fix my own bugs than someone elses...
You should know though that dynamic image selection based on tags has always been to core development effort in Pytherworld. The current system is the fourth or fifth major iteration/rewrite. It's not untested any more. I do concede that heavier usage will surely bring many solvable problems to the surface, but I'm confident that the basic approach will work. I have used this code with a database of about 15000 images and 180000 tags.

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It may take a very long time for me to fall into thinking pattern like this. You have coded it from a whole different perspective. It's almost like a facial/body recognition software of sorts.

I see tagging system as very powerful tool to use in creating better/more precise random events and checks for availability of those events. I don't expect it to get any more advanced than that in PyTFall so most of these steps are not applicable.

[rudistoned]

The only facial/body recognition at work here is the human mind. The rest is just comparing combinations of keywords and finding an optimal match. Finding the best image for a particular situation, e.g. a random event, is exactly what it's built for. Since the code is already written, I thought you might want to take advantage of that.

[DarkTl]

I think we should use mood2 panel after all. There are pictures where mood could be interpreted in different ways.

[Xela]

The only facial/body recognition at work here is the human mind. The rest is just comparing combinations of keywords and finding an optimal match. Finding the best image for a particular situation, e.g. a random event, is exactly what it's built for. Since the code is already written, I thought you might want to take advantage of that.

That would prolly be wise... Let me play around with one properly tagged girl in familiar PyTFall environment for a bit to figure out what's what.

I think we should use mood2 panel after all. There are pictures where mood could be interpreted in different ways.

Oki

[DarkTl]

I believe all mutually exclusive lists, like dress or in/out, should be in alphabetical order, except 2-3 most common ones that should be on top, like casual/nude/bikini for dress, generic/bedroom/living for in and generic/beach for out.

Secondly, I don't see anything close to onsen, except pool. Should I use it?

And we don't have street/city/something similar for outdoor.

[Xela]

I believe all mutually exclusive lists, like dress or in/out, should be in alphabetical order, except 2-3 most common ones that should be on top, like casual/nude/bikini for dress, generic/bedroom/living for in and generic/beach for out.

You can reposition them as you like in JSON.

Secondly, I don't see anything close to onsen, except pool. Should I use it?

I'll add the tags we've discussed in other thread and onsen than.

And we don't have street/city/something similar for outdoor.

- "urban" I think? Will mean there are buildings nearby?

[DarkTl]

You can reposition them as you like in JSON.

Um, which one?

- "urban" I think? Will mean there are buildings nearby?

Yup, obvious city street and/or buildings.

[Xela]

Um, which one?

scenetags, charactertags, clothingtags in tags folder. They should appear in the same order in the game as they are in the lists.

I'll add new tags and upload a fresh review.

[Xela]

Everything we've discussed + I've removed "bloomers". We could get rid of a lot of tags I expect, but for now, lets just tag a girl or two to see how it goes...

https://dl.dropboxusercontent.com/u/43556362/IT-PyTFall%20edition.rar

[DarkTl]

Nice, the more customizable interface the better 
I expect to finish tagging of the girl with 500+ pics today. It's not that hard when you get used to ignore excess tags (but with tabs you won't even need that, I believe).

[CherryWood]

Everything we've discussed + I've removed "bloomers".

If you don't like bloomers, then change it to a gym or sport tag instead, but please keep it somehow. 

[Xela]

If you don't like bloomers, then change it to a gym or sport tag instead, but please keep it somehow. 

http://en.wikipedia.org/wiki/Bloomers_%28clothing%29

How is this sportclothing? What tag do you need?

[CherryWood]

http://en.wikipedia.org/wiki/Bloomers_%28clothing%29

How is this sportclothing? What tag do you need?

If you actually look at the bottom of that article, you'll see a part about using them in Japan schools even with a picture example    It's just another clothing fetish, same like blue school swimsuits.
 Hinata , Hotaru , Asuka , Rei ...
Correct non-confusing tag would be "gym uniform"

[Xela]

If you actually look at the bottom of that article, you'll see a part about using them in Japan schools even with a picture example    It's just another clothing fetish, same like blue school swimsuits.
 Hinata , Hotaru , Asuka , Rei ...
Correct non-confusing tag would be "gym uniform"

Gym uniform added.

https://dl.dropboxusercontent.com/u/43556362/IT-PyTFall%20edition.rar