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datasetDestroyer - fix probabilities #19

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datasetDestroyer - fix probabilities #19

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33 changes: 15 additions & 18 deletions Dataset Destroyer/datasetDestroyer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -505,26 +505,23 @@ def process_image(image_path):

degradation_order = []
all_text = []

for degradation in degradations:
if degradation == 'blur' and random() < blur_likelihood:
degradation_order.append('blur')
elif degradation == 'noise' and random() < noise_likelihood:
degradation_order.append('noise')
elif degradation == 'chroma' and random() < chroma_likelihood:
degradation_order.append('chroma')
elif degradation == 'compression' and random() < compression_likelihood:
degradation_order.append('compression')
elif degradation == 'scale' and random() < scale_likelihood:
degradation_order.append('scale')
elif degradation == 'quantization' and random() < quantization_likelihood:
degradation_order.append('quantization')
elif degradation == 'unsharp_mask' and random() < unsharp_mask_likelihood:
degradation_order.append('unsharp_mask')
if degradations_randomize:
for degradation in degradations:
if degradation == 'blur' and random() < blur_likelihood:
degradation_order.append('blur')
elif degradation == 'noise' and random() < noise_likelihood:
degradation_order.append('noise')
elif degradation == 'chroma' and random() < chroma_likelihood:
degradation_order.append('chroma')
elif degradation == 'compression' and random() < compression_likelihood:
degradation_order.append('compression')
elif degradation == 'scale' and random() < scale_likelihood:
degradation_order.append('scale')
elif degradation == 'quantization' and random() < quantization_likelihood:
degradation_order.append('quantization')
elif degradation == 'unsharp_mask' and random() < unsharp_mask_likelihood:
degradation_order.append('unsharp_mask')
shuffle(degradation_order)
else:
degradation_order = degradations.copy()

for order, degradation in enumerate(degradation_order, 1):
if degradation == 'blur':
Expand Down