- Implemented dataset and augmentation pipeline in `dataset.py` for handling image pairs and heavy augmentations.
- Created a Siamese Network architecture in `model.py` with shared weights and contrastive loss functions.
- Developed training script in `train.py` to facilitate model training with validation and early stopping.
- Added inference capabilities in `inference.py` for comparing images and finding matches.
- Included a perceptual hashing utility in `p_hash.py` for quick image similarity checks.
bahawal.baloch