-
Notifications
You must be signed in to change notification settings - Fork 50
/
reenact.py
36 lines (27 loc) · 1.48 KB
/
reenact.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
import os
from tqdm import tqdm
from torchvision import utils
from renderer.face_model import FaceModel
from options.options import Options
from utils.util import create_dir, load_coef
if __name__ == '__main__':
opt = Options().parse_args()
create_dir(os.path.join(opt.src_dir, 'reenact'))
alpha_list = load_coef(os.path.join(opt.tgt_dir, 'alpha'), opt.test_num)
beta_list = load_coef(os.path.join(opt.tgt_dir, 'beta'), opt.test_num)
delta_list = load_coef(os.path.join(opt.src_dir, 'reenact_delta'), opt.test_num)
gamma_list = load_coef(os.path.join(opt.tgt_dir, 'gamma'), opt.test_num)
angle_list = load_coef(os.path.join(opt.tgt_dir, 'rotation'), opt.test_num)
translation_list = load_coef(os.path.join(opt.tgt_dir, 'translation'), opt.test_num)
face_model = FaceModel(data_path=opt.matlab_data_path, batch_size=1)
for i in tqdm(range(len(delta_list))):
alpha = alpha_list[i + opt.offset].unsqueeze(0).cuda()
beta = beta_list[i + opt.offset].unsqueeze(0).cuda()
delta = delta_list[i].unsqueeze(0).cuda()
gamma = gamma_list[i + opt.offset].unsqueeze(0).cuda()
rotation = angle_list[i + opt.offset].unsqueeze(0).cuda()
translation = translation_list[i + opt.offset].unsqueeze(0).cuda()
render, _, _ = face_model(alpha, delta, beta, rotation, translation, gamma, lower=True)
utils.save_image(render, os.path.join(opt.src_dir, 'reenact', '%05d.png' % (i+1)))
if i >= opt.test_num:
break