daniil-berg/ccaptchas
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Reduce tensorflow verbosity

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Daniil Fajnberg 2022-06-16 09:40:30 +02:00
parent a8636822c9
commit b7894787ca
3 changed files with 8 additions and 2 deletions
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2
setup.cfg
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@ -1,6 +1,6 @@
[metadata] [metadata]
name = ccaptchas name = ccaptchas
version = 0.1.1 version = 0.1.2
author = Daniil Fajnberg author = Daniil Fajnberg
author_email = mail@daniil.fajnberg.de author_email = mail@daniil.fajnberg.de
description = Character CAPTCHA Solver description = Character CAPTCHA Solver

6
src/ccaptchas/__main__.py
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@ -1,3 +1,5 @@
import os
import warnings
from argparse import ArgumentParser from argparse import ArgumentParser
from pathlib import Path from pathlib import Path
from typing import Any, Sequence from typing import Any, Sequence
@ -156,4 +158,8 @@ def main() -> None:
if __name__ == '__main__': if __name__ == '__main__':
# Shut up Tensorflow:
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
# Shut up numpy:
warnings.filterwarnings('ignore', 'elementwise comparison failed', FutureWarning, module='numpy')
main() main()

2
src/ccaptchas/infer.py
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@ -52,7 +52,7 @@ def load_inference_model(model_dir: PathT) -> tuple[Model, StringLookup]:
def predict_and_decode(images: Sequence[ImgT], model: Model, backward_lookup: StringLookup) -> tuple[Array, list[str]]: def predict_and_decode(images: Sequence[ImgT], model: Model, backward_lookup: StringLookup) -> tuple[Array, list[str]]:
dataset = np.array([process_image(img) for img in images]) dataset = np.array([process_image(img) for img in images])
encoded_labels = process_predictions(model.predict(dataset)) encoded_labels = process_predictions(model.predict(dataset, verbose=0))
return dataset, [decode_label(label, backward_lookup) for label in encoded_labels] return dataset, [decode_label(label, backward_lookup) for label in encoded_labels]