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import torch
from configs import global_config, paths_config
from scripts.latent_creators.base_latent_creator import BaseLatentCreator
from training.projectors import w_plus_projector
class SG2PlusLatentCreator(BaseLatentCreator):
def __init__(self, use_wandb=False, projection_steps=2000):
super().__init__(paths_config.sg2_plus_results_keyword, use_wandb=use_wandb)
self.projection_steps = projection_steps
def run_projection(self, fname, image):
image = torch.squeeze((image.to(global_config.device) + 1) / 2) * 255
w = w_plus_projector.project(self.old_G, image, device=torch.device(global_config.device),
num_steps=self.projection_steps, w_name=fname, use_wandb=self.use_wandb)
return w
if __name__ == '__main__':
id_change_report = SG2PlusLatentCreator()
id_change_report.create_latents()
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