miguelmuzo's picture
Upload 426 files
3de0e37 verified
Raw History Blame Contribute Delete
1.6 kB
from argparse import Namespace
import glob
import os
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data as data
import yaml
import sys
current_dir = os.path.abspath(os.path.dirname(__file__))
sys.path.insert(0, current_dir)
from PIL import Image
from tqdm import tqdm
from torchvision import transforms, utils
from trainer import *
torch.backends.cudnn.enabled = True
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = True
# torch.autograd.set_detect_anomaly(True)
Image.MAX_IMAGE_PIXELS = None
opts = Namespace(config='001', pretrained_model_path='pretrained_models/FeatureStyleEncoder/143_enc.pth', stylegan_model_path=f'pretrained_models/FeatureStyleEncoder/psp_ffhq_encode.pt', arcface_model_path=f'pretrained_models/FeatureStyleEncoder/backbone.pth', parsing_model_path=f'pretrained_models/FeatureStyleEncoder/79999_iter.pth', log_path='./logs/', resume=False, checkpoint='', checkpoint_noiser='', multigpu=False, input_path='./test/', save_path='./')
config = yaml.load(open(f'{current_dir}/configs/' + opts.config + '.yaml', 'r'), Loader=yaml.FullLoader)
def get_trainer(device):
# Initialize trainer
trainer = Trainer(config, opts)
trainer.initialize(opts.stylegan_model_path, opts.arcface_model_path, opts.parsing_model_path)
trainer.to(device)
# state_dict = torch.load(opts.pretrained_model_path)#os.path.join(opts.log_path, opts.config + '/checkpoint.pth'))
trainer.enc.load_state_dict(torch.load(opts.pretrained_model_path))
trainer.enc.eval()
return trainer