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Hybrid Document Forgery Detection & Localization System
A robust hybrid (Deep Learning + Classical ML) system for multi-type
document forgery detection and localization.
Architecture:
- Deep Learning: MobileNetV3-Small + UNet-Lite for pixel-level localization
- Classical ML: LightGBM for interpretable forgery classification
"""
__version__ = "1.0.0"
from .config import get_config
from .models import get_model, get_loss_function
from .data import get_dataset
from .features import get_feature_extractor, get_mask_refiner, get_region_extractor
from .training import get_trainer, get_metrics_tracker
from .inference import get_pipeline
__all__ = [
'get_config',
'get_model',
'get_loss_function',
'get_dataset',
'get_feature_extractor',
'get_mask_refiner',
'get_region_extractor',
'get_trainer',
'get_metrics_tracker',
'get_pipeline'
]
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