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Fix loss function

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Piv
2021-06-16 21:52:31 +09:30
parent 0547509689
commit e5b07fb766
1 changed files with 3 additions and 2 deletions
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losses.py
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@@ -11,9 +11,10 @@ def dense_depth_loss_function(y, y_pred):
# L1 loss over image gradients # L1 loss over image gradients
dy, dx = tf.image.image_gradients(y) dy, dx = tf.image.image_gradients(y)
dy_pred, dx_pred = tf.image.image_gradients(y_pred) dy_pred, dx_pred = tf.image.image_gradients(y_pred)
l_grad = tf.reduce_mean(tf.math.abs(dy_pred - dy) + tf.math.abs(dx_pred - dx), axis=-1) l_grad = tf.reduce_mean(tf.math.abs(dy_pred - dy) +
tf.math.abs(dx_pred - dx), axis=-1)
# Structural Similarity (SSIM) # Structural Similarity (SSIM)
l_ssim = (1 - tf.image.ssim(y, y_pred, 500)) / 2 l_ssim = (1 - tf.image.ssim(y, y_pred, 500)) / 2
return 0.1 * tf.reduce_mean(l_depth) + l_grad + l_ssim return 0.1 * tf.reduce_mean(l_depth) + tf.reduce_mean(l_grad) + l_ssim