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dataset: explicit reshape
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@ -22,6 +22,9 @@ def parse_item(metadata):
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water = tf.io.parse_tensor(parsed["waterdepth"], out_type=tf.float32)
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# [channels, width, height] → [width, height, channels] - ref ConvNeXt does not support data_format=channels_first
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rainfall = tf.reshape(rainfall, tf.constant(metadata["rainfallradar"], dtype=tf.int32))
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water = tf.reshape(water, tf.constant(metadata["waterdepth"], dtype=tf.int32))
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rainfall = tf.transpose(rainfall, [1, 2, 0])
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# [width, height] → [width, height, channels]
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water = tf.expand_dims(water, axis=-1)
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