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eval.py
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eval.py
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import argparse
import os
import torch
from models import E1, E2, Decoder
from utils import save_imgs, load_model_for_eval
def eval(args):
e1 = E1(args.sep, int((args.resize / 64)))
e2 = E2(args.sep, int((args.resize / 64)))
decoder = Decoder(int((args.resize / 64)))
if torch.cuda.is_available():
e1 = e1.cuda()
e2 = e2.cuda()
decoder = decoder.cuda()
if args.load != '':
save_file = os.path.join(args.load, 'checkpoint')
_iter = load_model_for_eval(save_file, e1, e2, decoder)
e1 = e1.eval()
e2 = e2.eval()
decoder = decoder.eval()
if not os.path.exists(args.out) and args.out != "":
os.mkdir(args.out)
save_imgs(args, e1, e2, decoder, _iter)
if __name__=='__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--root', default='')
parser.add_argument('--load', default='')
parser.add_argument('--out', default='')
parser.add_argument('--resize', type=int, default=128)
parser.add_argument('--crop', type=int, default=178)
parser.add_argument('--sep', type=int, default=25)
parser.add_argument('--bs', type=int, default=64)
parser.add_argument('--num_display', type=int, default=20)
args = parser.parse_args()
eval(args)