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train_mono_predict: convert to correct format
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@ -111,8 +111,9 @@ def do_png(args, ai, dataset, model_params):
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for water_predict in water_predict_batch:
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# [ width, height, softmax_probabilities ] → [ batch, width, height ]
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water_predict = tf.math.argmax(water_predict, axis=-1)
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# [ width, height ]
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# [ width, height, bins ]
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water_actual = tf.squeeze(water[i_batch])
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water_actual = tf.math.argmax(water_actual, axis=-1)
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segmentation_plot(
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water_actual, water_predict,
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