File size: 744 Bytes
089c099 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | import json
nb_path = r'c:\E\Project\Project B.tech\Multimodal Deepfake Detection\video_detection\notebooks\Video_Deepfake_Detection_Cloud.ipynb'
with open(nb_path, 'r', encoding='utf-8') as f:
nb = json.load(f)
for cell in nb['cells']:
if cell['cell_type'] == 'code':
source = cell['source']
for i, line in enumerate(source):
if 'Acc={correct/total:.1%}' in line:
source[i] = " acc = correct / total if total > 0 else 0.0\n tpr = tp / (tp + fn) if (tp + fn) > 0 else 0.0\n fpr = fp / (fp + tn) if (fp + tn) > 0 else 0.0\n print(f'\\\\n📊 Results: Acc={acc:.1%} TPR={tpr:.1%} FPR={fpr:.1%}')\n"
with open(nb_path, 'w', encoding='utf-8') as f:
json.dump(nb, f, indent=2)
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