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Runtime error
| import os | |
| import sys | |
| import numpy as np | |
| from PIL import Image | |
| import torch | |
| import torchvision.transforms as transforms | |
| from argparse import Namespace | |
| from e4e.models.psp import pSp | |
| from util import * | |
| device='cpu' | |
| model_path = 'models/e4e_ffhq_encode.pt' | |
| ckpt = torch.load(model_path, map_location='cpu') | |
| opts = ckpt['opts'] | |
| opts['checkpoint_path'] = model_path | |
| opts= Namespace(**opts) | |
| net = pSp(opts, device).eval().to(device) | |
| def projection(img, name, device='cuda'): | |
| transform = transforms.Compose( | |
| [ | |
| transforms.Resize(256), | |
| transforms.CenterCrop(256), | |
| transforms.ToTensor(), | |
| transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5]), | |
| ] | |
| ) | |
| img = transform(img).unsqueeze(0).to(device) | |
| images, w_plus = net(img, randomize_noise=False, return_latents=True) | |
| result_file = {} | |
| result_file['latent'] = w_plus[0] | |
| torch.save(result_file, name) | |
| return w_plus[0] | |