Closed panpiort8 closed 2 years ago
Good progress! Do you see any difference in the optimized images between this and previous experiments?
I'm sceptical about not passing gradients via generator. Can you link something that you based your code on? quote or something
it's adapted from lucid https://github.com/tensorflow/lucid/blob/6dcc927e4ff4e7ef4d9c54d27b0352849dadd1bb/lucid/optvis/param/spatial.py#L48-L87 https://github.com/tensorflow/lucid/blob/6dcc927e4ff4e7ef4d9c54d27b0352849dadd1bb/lucid/optvis/param/color.py#L32
I can't find lines with gradient computations here
it's adapted from lucid https://github.com/tensorflow/lucid/blob/6dcc927e4ff4e7ef4d9c54d27b0352849dadd1bb/lucid/optvis/param/spatial.py#L48-L87 https://github.com/tensorflow/lucid/blob/6dcc927e4ff4e7ef4d9c54d27b0352849dadd1bb/lucid/optvis/param/color.py#L32
I can't find lines with gradient computations here
Me neither. And I'm also sceptical about how it's implemented.
👍
Why is this merged? @panpiort8 didn't provide any proof that this method is just a way of determining initial image (which seems unlikely)
This solutions seems to not be what we expected but @panpiort8 provided new initialisation technique which "do something". As I understand such method is also provided in lucid and it seems reasonable to explore this topic a bit more - in such context merged code is a good starting point. Imho we should at least brainstormed it during next planning. Worst case scenario we delete it.
Uf
solves #18