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| author | deepxiangfa <472480578@qq.com> | 2016-10-13 16:37:41 +0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2016-10-13 16:37:41 +0800 |
| commit | 1822e66be6947246dffd1c8ed2a75406e86305c4 (patch) | |
| tree | 11c45bbb00c4f888f34b76ec4098bf7bf2d2a187 | |
| parent | 58486d94b895ad0bc8f9a07a5208b4a58e225d82 (diff) | |
Update neural_style.py
fix the tv_loss bug
| -rw-r--r-- | neural_style.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/neural_style.py b/neural_style.py index 6dc2cf5..e583381 100644 --- a/neural_style.py +++ b/neural_style.py @@ -465,7 +465,7 @@ def sum_shortterm_temporal_losses(sess, net, frame, input_img): ''' def sum_total_variation_losses(sess, net, input_img): b, h, w, d = input_img.shape - x = sess.run(net['input'].assign(input_img)) + x = net['input'] tv_y_size = b * (h-1) * w * d tv_x_size = b * h * (w-1) * d loss_y = tf.nn.l2_loss(x[:,1:,:,:] - x[:,:h-1,:,:]) |
