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dlr: fixup
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@ -163,10 +163,6 @@ else:
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model = tf.keras.models.load_model(PATH_CHECKPOINT, custom_objects={
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# Tell Tensorflow about our custom layers so that it can deserialise models that use them
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"LossCrossEntropyDice": LossCrossEntropyDice,
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"MetricDice": MetricDice,
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"MetricSensitivity": MetricSensitivity,
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"MetricSpecificity": MetricSpecificity
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"MetricMeanIoU": MetricMeanIoU
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})
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