diff options
Diffstat (limited to 'neural_style.py')
| -rw-r--r-- | neural_style.py | 15 |
1 files changed, 8 insertions, 7 deletions
diff --git a/neural_style.py b/neural_style.py index 8164b2c..5373e5e 100644 --- a/neural_style.py +++ b/neural_style.py @@ -551,7 +551,7 @@ def normalize(weights): denom = sum(weights) if denom > 0.: return [float(i) / denom for i in weights] - else: return [0. for _ in weights] + else: return [0.] * len(weights) def maybe_make_directory(dir_path): if not os.path.exists(dir_path): @@ -568,29 +568,30 @@ def stylize(content_img, style_imgs, init_img, frame=None): with tf.device(args.device), tf.Session() as sess: # setup network net = build_vgg19(content_img) - + # style loss if args.style_mask: L_style = sum_masked_style_losses(sess, net, style_imgs) else: L_style = sum_style_losses(sess, net, style_imgs) - + # content loss L_content = sum_content_losses(sess, net, content_img) - + # denoising loss L_tv = sum_total_variation_losses(sess, net, init_img) - + # loss weights alpha = args.content_weight beta = args.style_weight - theta = args.tv_weight + theta = args.tv_weight # total loss L_total = alpha * L_content L_total += beta * L_style L_total += theta * L_tv - + + # video temporal loss if args.video and frame > 1: gamma = args.temporal_weight L_temporal = sum_shortterm_temporal_losses(sess, net, frame, init_img) |