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And about the local maximum/minimum; perhaps you could make it so the frequency and/or intensity of mutations and crossovers is inversely proportional to the difference between the best scores of this generation and the previous' ?
Perhaps with a delay or moving/weighted average instead of just using the current difference from the last, to reduce feedback loops leading into extreme oscillations, and smooth out the changes in intensity
Btw, for doing the crossover; wouldn't it be just a matter of picking two of the best individuals of each generation, and then doing it like you do with plain mutation but instead of being random it's the average of the color for the pixel in the two parents (probably you wanna have each mating produce at least two new individuals, one is parent A with some pixels mated with parent B's and the other is parent B with the same pixels mated with parent A's) ?
haha, thats freakin awesome! So the face recognizer will return a value that represents a percentage match for the face? and they evolve to get the highest match? really neat idea.
Can we do something like this in color;You're probably using fitness for two parameters;Won't fitness for rgb and brightness increase the time required by nearly 32 times?
Its freaky when we put computers in this sort of dream-state. Remind me like the bloke who does the 'deep-learning' thing for feature extraction in character sets.
Sometimes this face here is so damn haunting... no wonder us humans have nightmares when our brain gets to run free at sleep-time.
Whats the fitness function, it seems its to forgiving to failures that doen't even look close to a face. But you did succeed in making one of the creepiest videos on youtube. Im going to have nightmares about that face.
what is with all these fake replies?
JDay373 6 days ago
cool idea
thehaircrow 3 weeks ago
I am very happy to see the vidoe after you give this o one friday afternoon I got the crazy idea of creating a genetic algorithm to evolve human faces using our detector as the fitness function.
Mjhond 1 month ago
I Love The Video It Can Increase My Knowledge so one friday afternoon I got the crazy idea of creating a genetic algorithm to evolve human faces using our detector as the fitness function.
Ondelendo 1 month ago
Steady I Really Like This Video so one friday afternoon I got the crazy idea of creating a genetic algorithm to evolve human faces using our detector as the fitness function.
anakmudajaman 1 month ago
Good, I like that you share this video, I wish success always so one friday afternoon I got the crazy idea of creating a genetic algorithm to evolve human faces using our detector as the fitness function.
bebeheuy 1 month ago
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Nice Video That You Share , So Very Nice Thanks You so one friday afternoon I got the crazy idea of creating a genetic algorithm to evolve human faces using our detector as the fitness function.
imegatrone 1 month ago
I Really Like The Video From Your so one friday afternoon I got the crazy idea of creating a genetic algorithm to evolve human faces using our detector as the fitness function.
willamricard 1 month ago
Your Video Is Very Useful Sharing so one friday afternoon I got the crazy idea of creating a genetic algorithm to evolve human faces using our detector as the fitness function.
bundawartini 1 month ago
And about the local maximum/minimum; perhaps you could make it so the frequency and/or intensity of mutations and crossovers is inversely proportional to the difference between the best scores of this generation and the previous' ?
Perhaps with a delay or moving/weighted average instead of just using the current difference from the last, to reduce feedback loops leading into extreme oscillations, and smooth out the changes in intensity
TiagoTiagoT 2 months ago
Btw, for doing the crossover; wouldn't it be just a matter of picking two of the best individuals of each generation, and then doing it like you do with plain mutation but instead of being random it's the average of the color for the pixel in the two parents (probably you wanna have each mating produce at least two new individuals, one is parent A with some pixels mated with parent B's and the other is parent B with the same pixels mated with parent A's) ?
TiagoTiagoT 2 months ago
An interesting approach to see what the detector thinks a face should look like.
TiagoTiagoT 2 months ago
Why not crowd source it and use a human choice as the fitness function?
justinlloyd3 3 months ago
Isn't it weird that hot chicks in dreams don't have faces or barely recognisable ones?
PhantomAct 4 months ago 2
haha, thats freakin awesome! So the face recognizer will return a value that represents a percentage match for the face? and they evolve to get the highest match? really neat idea.
taostoner1 4 months ago 2
Wow that is really impressive, given it doesn't have anything to copy or ressemble!
Could you perhaps use this to improve your face recognition software?
In sort of a predator-prey simultaneous evolution,
the fake faces are the prey and the software is the predator,
There also have to be some real faces with the fake ones, these can be 'poisonous food' and to complete the analogy 'eating' is recognising as a fake.
This seems to work in nature as Mimicry.
ImaginaryMdA 7 months ago 2
What did you use as the 'genes' for these images?
DavidMTRutten 8 months ago
I think i saw a DOG in there for a split second !!!
cirusMEDIA 10 months ago 2
one lesson from this if you don't want your face recognized by this particular face recognizer: stop smiling!
SalsaTiger83 1 year ago 3
A very creative idea! Nice!
MacHans78 1 year ago
Can we do something like this in color;You're probably using fitness for two parameters;Won't fitness for rgb and brightness increase the time required by nearly 32 times?
redtihor1 1 year ago
looks like zach galifianakis
joecougar67 1 year ago
congratulations, it seems to get stuck in a local minimum
ernesto50 1 year ago 35
Same pictures used in cycles..
But its good if there is some Genetic Algorithm behind it. AI .
lnpkural 1 year ago
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so beautiful. not.
Y0ts0 1 year ago
So this is what the machine knows of us - and hence, this is the machine's chosen face. A happy, chubby, internationalist. I like it.
quietthomas 1 year ago
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Hmm, a random data gets randomized until found fit - not impressive
Ulterior1980 1 year ago
@Ulterior1980 Try learning what the program is actually doing before making a fool out of yourself.
Pixelgel 1 year ago
@Pixelgel You dont understand how the fitting algorithm works, and then you made the fool of yourself
Ulterior1980 1 year ago
@Pixelgel Ever heard of a term confussion matrix, mor.on?
Ulterior1980 1 year ago
Its freaky when we put computers in this sort of dream-state. Remind me like the bloke who does the 'deep-learning' thing for feature extraction in character sets.
Sometimes this face here is so damn haunting... no wonder us humans have nightmares when our brain gets to run free at sleep-time.
michielvda 1 year ago 6
seeing this will give idiots the wrong idea. how good it would have been if all the people in the world were smart enough.
icarus119 1 year ago
IT'S GOD!!!!
jamesarongray 1 year ago
looks like that face on mars
moseskiiza 1 year ago
One of the coolest ideas i've ever seen.
lardhat 2 years ago 2
should have added music
b4ra2 2 years ago
Whats the fitness function, it seems its to forgiving to failures that doen't even look close to a face. But you did succeed in making one of the creepiest videos on youtube. Im going to have nightmares about that face.
Houshalter 2 years ago
Amazing!
stanbwonderful 2 years ago
That's pretty cool!
kjlg74 2 years ago
it shows that you an effective face detector.
pahilario 2 years ago
How can I get a license of the FTR SDK?? How much does it cost?
djJoz 2 years ago
It's evolving against their face recognizer, I guess it has a measure of likeness to a face used as the fitness function.
ludamad 2 years ago 15
Very Nice !
ravivyatom 2 years ago
Looks like the face on Mars. Whose face is that?
bja6a 2 years ago
John Doe! ;)
sleepingeye 2 years ago
Since that's a totally generic face, I think it's neither male nor female --or it's both.
Dirtfire 2 years ago
right
sleepingeye 2 years ago