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dataset_segmenter: DEBUG: fix water shape

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Starbeamrainbowlabs 2022-11-10 20:48:21 +00:00
parent f994d449f1
commit b03388de60
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 3 additions and 2 deletions
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5
aimodel/src/lib/dataset/dataset_segmenter.py
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@ -11,11 +11,12 @@ from .shuffle import shuffle
# TO PARSE:
def parse_item(metadata, shape_water_desired, water_threshold=0.1):
def parse_item(metadata, shape_water_desired, water_threshold=0.1, water_bins=2):
water_width_source, water_height_source, _water_channels_source = metadata["waterdepth"]
water_width_target, water_height_target = shape_water_desired
water_offset_x = math.ceil((water_width_source - water_width_target) / 2)
water_offset_y = math.ceil((water_height_source - water_height_target) / 2)
def parse_item_inner(item):
parsed = tf.io.parse_single_example(item, features={
"rainfallradar": tf.io.FixedLenFeature([], tf.string),
@ -34,7 +35,7 @@ def parse_item(metadata, shape_water_desired, water_threshold=0.1):
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.one_hot(water, water_bins, axis=-1, dtype=tf.int32)
print("DEBUG:dataset ITEM rainfall:shape", rainfall.shape, "water:shape", water.shape)
# TODO: Add any other additional parsing here, since multiple .map() calls are not optimal