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Boost pretrained models with test time augmentation selection

Project description

TTABoost - Boost Your pre-trained Model With Test Time Augmentation Selection

Test time augmentation selection for image detection and classification.

Install

pip install ttabooster

Usage example

from ttabooster.TTABoost import TTABooster

model = load_model('pretrained-model.h5')  # Load any keras model
x_test, y_test = ...  # Load your validation set

AUGMENTATIONS_TEST = Compose([
    RandomSizedCrop((28, 28), 32, 32, w2h_ratio=1.0, interpolation=1, always_apply=False, p=1.0), 
    # Add your augmentations...
])

booster = TTABooster(model, batch_size=100, augmentations=AUGMENTATIONS_TEST)
booster.benchmark_results(x_test, y_test)

Project details


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Files for ttabooster, version 0.12
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