model_segmentation: don't softmax twice

This commit is contained in:
Starbeamrainbowlabs 2022-10-25 21:11:48 +01:00
parent f2e2ca1484
commit bb0679a509
Signed by: sbrl
GPG key ID: 1BE5172E637709C2

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@ -44,7 +44,7 @@ def model_rainfallwater_segmentation(metadata, shape_water_out, model_arch="conv
# TODO: An attention layer here instead of a dense layer, with a skip connection perhaps?
logger.warning("Warning: TODO implement attention from https://ieeexplore.ieee.org/document/9076883")
layer_next = tf.keras.layers.Dense(32)(layer_next)
layer_next = tf.keras.layers.Conv2D(water_bins, kernel_size=1, activation="softmax", padding="same")(layer_next)
layer_next = tf.keras.layers.Conv2D(water_bins, kernel_size=1, padding="same")(layer_next)
layer_next = tf.keras.layers.Softmax(axis=-1)(layer_next)
model = tf.keras.Model(