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dataset_segmenter: reshape, not squeeze

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Starbeamrainbowlabs 2022-11-29 19:24:54 +00:00
parent 77b8a1a8db
commit df774146d9
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 1 additions and 1 deletions
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aimodel/src/lib/dataset/dataset_segmenter.py
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@ -35,7 +35,7 @@ def parse_item(metadata, shape_water_desired, water_threshold=0.1, water_bins=2)
water = tf.cast(tf.math.greater_equal(water, water_threshold), dtype=tf.int32)
water = tf.image.crop_to_bounding_box(water, water_offset_x, water_offset_y, water_width_target, water_height_target)
water = tf.squeeze(water)
water = tf.reshape(water, tf.constant([water_width_target, water_height_target, water_bins], dtype=tf.int32))
water = tf.one_hot(water, water_bins, axis=-1, dtype=tf.int32)
print("DEBUG:dataset ITEM rainfall:shape", rainfall.shape, "water:shape", water.shape)