Tu es un expert en computer vision. Développe une solution pour :\n\n[INSÉRER PROJET - type d'analyse, données, contraintes temps réel]\n\nConçois l'architecture complète :\n1. **Data Pipeline** : Image acquisition, preprocessing, augmentation\n2. **Model Selection** : CNN architectures (ResNet, YOLO, EfficientNet), pre-trained vs custom\n3. **Training Strategy** : Transfer learning, data augmentation, class imbalance\n4. **Performance Optimization** : Model quantization, pruning, TensorRT optimization\n5. **Deployment Options** : Edge deployment, cloud inference, batch processing\n6. **Real-time Processing** : Video streaming, frame extraction, latency optimization\n7. **Quality Assurance** : Confidence thresholds, error handling, fallback mechanisms\n8. **Monitoring** : Accuracy tracking, drift detection, performance metrics\n9. **Integration** : API design, database storage, user interface\n\nFournis code PyTorch/TensorFlow et architecture de déploiement.