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dataset_mono: log shapes
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1 changed files with 4 additions and 1 deletions
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@ -20,6 +20,8 @@ def parse_item(metadata, shape_water_desired=[100,100], water_threshold=0.1, wat
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water_offset_x = math.ceil((water_width_source - water_width_target) / 2)
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water_offset_x = math.ceil((water_width_source - water_width_target) / 2)
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water_offset_y = math.ceil((water_height_source - water_height_target) / 2)
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water_offset_y = math.ceil((water_height_source - water_height_target) / 2)
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print("DEBUG DATASET:rainfall shape", metadata["rainfallradar"])
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print("DEBUG DATASET:water shape", metadata["waterdepth"])
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def parse_item_inner(item):
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def parse_item_inner(item):
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parsed = tf.io.parse_single_example(item, features={
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parsed = tf.io.parse_single_example(item, features={
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@ -53,7 +55,8 @@ def parse_item(metadata, shape_water_desired=[100,100], water_threshold=0.1, wat
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water = tf.one_hot(water, water_bins, axis=-1, dtype=tf.int32)
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water = tf.one_hot(water, water_bins, axis=-1, dtype=tf.int32)
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print("DEBUG:dataset ITEM rainfall:shape", rainfall.shape, "water:shape", water.shape)
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print("DEBUG DATASET_OUT:rainfall shape", rainfall.shape)
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print("DEBUG DATASET_OUT:water shape", water.shape)
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return rainfall, water
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return rainfall, water
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return tf.function(parse_item_inner)
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return tf.function(parse_item_inner)
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