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fixup... again

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Starbeamrainbowlabs 2022-09-28 18:10:11 +01:00
parent 030d8710b6
commit 4cf0485e32
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 2 additions and 2 deletions
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4
aimodel/src/lib/dataset/dataset_segmenter.py
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@ -46,7 +46,7 @@ def parse_item(metadata, shape_water_desired, water_threshold=0.1):
return tf.function(parse_item_inner)
def make_dataset(filepaths, metadata, shape_watch_desired=[100,100], compression_type="GZIP", parallel_reads_multiplier=1.5, shuffle_buffer_size=128, batch_size=64, prefetch=True, shuffle=True):
def make_dataset(filepaths, metadata, shape_watch_desired=[100,100], water_threshold=0.1, compression_type="GZIP", parallel_reads_multiplier=1.5, shuffle_buffer_size=128, batch_size=64, prefetch=True, shuffle=True):
if "NO_PREFETCH" in os.environ:
logger.info("disabling data prefetching.")
@ -56,7 +56,7 @@ def make_dataset(filepaths, metadata, shape_watch_desired=[100,100], compression
)
if shuffle:
dataset = dataset.shuffle(shuffle_buffer_size)
dataset = dataset.map(parse_item(metadata, shape_water_desired=shape_watch_desired), num_parallel_calls=tf.data.AUTOTUNE)
dataset = dataset.map(parse_item(metadata, shape_water_desired=shape_watch_desired, water_threshold=water_threshold), num_parallel_calls=tf.data.AUTOTUNE)
if batch_size != None:
dataset = dataset.batch(batch_size, drop_remainder=True)