Fix loss function
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@@ -11,9 +11,10 @@ def dense_depth_loss_function(y, y_pred):
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# L1 loss over image gradients
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dy, dx = tf.image.image_gradients(y)
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dy_pred, dx_pred = tf.image.image_gradients(y_pred)
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l_grad = tf.reduce_mean(tf.math.abs(dy_pred - dy) + tf.math.abs(dx_pred - dx), axis=-1)
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l_grad = tf.reduce_mean(tf.math.abs(dy_pred - dy) +
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tf.math.abs(dx_pred - dx), axis=-1)
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# Structural Similarity (SSIM)
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l_ssim = (1 - tf.image.ssim(y, y_pred, 500)) / 2
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return 0.1 * tf.reduce_mean(l_depth) + l_grad + l_ssim
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return 0.1 * tf.reduce_mean(l_depth) + tf.reduce_mean(l_grad) + l_ssim
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