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ds predict: fix filenames in

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Starbeamrainbowlabs 2022-09-16 15:45:22 +01:00
parent e333dcba9c
commit 366db658a8
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 1 additions and 4 deletions
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5
aimodel/src/lib/dataset/dataset.py
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@ -87,9 +87,6 @@ def dataset(dirpath_input, batch_size=64, train_percentage=0.8, parallel_reads_m
def dataset_predict(dirpath_input, parallel_reads_multiplier=1.5, prefetch=True): def dataset_predict(dirpath_input, parallel_reads_multiplier=1.5, prefetch=True):
filepaths = get_filepaths(dirpath_input) filepaths = get_filepaths(dirpath_input)
filepaths_count = len(filepaths)
for i in range(len(filepaths)):
filepaths.append(filepaths[-1])
return make_dataset( return make_dataset(
filepaths=filepaths, filepaths=filepaths,
@ -98,7 +95,7 @@ def dataset_predict(dirpath_input, parallel_reads_multiplier=1.5, prefetch=True)
batch_size=None, batch_size=None,
dummy_label=False, dummy_label=False,
prefetch=prefetch prefetch=prefetch
), filepaths[0:filepaths_count], filepaths_count )
if __name__ == "__main__": if __name__ == "__main__":
ds_train, ds_validate = dataset("/mnt/research-data/main/rainfallwater_records-viperfinal/") ds_train, ds_validate = dataset("/mnt/research-data/main/rainfallwater_records-viperfinal/")