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- Implement preprocess.py to convert audio files to mel spectrograms - Add dataset.py with BirdCallDataset class for training/validation/test splits - Create label_map.json with 18 bird species mappings - Add soundfile dependency for audio loading without FFmpeg requirement
- Add StemBlock for initial feature extraction with 2 conv layers - Implement DualPathBlock with asymmetric frequency (5,1) and temporal (1,5) kernels - Create DeepNet combining stem, dual-path blocks, and classifier head - Support 18 bird species classification with 525K parameters - Verify architecture with shape test: (2,1,128,216) → (2,18)
- Implement LabelSmoothingCE, FocalLoss, and WeightedCE loss functions - Create Trainer class with AdamW optimizer and CosineAnnealingLR scheduler - Add early stopping with configurable patience - Implement TensorBoard logging for metrics tracking - Add checkpoint saving and loading with full state preservation - Create baseline configuration for initial experiments - Add utility functions for device selection, seeding, and config management
- Create train.py as CLI entry point for running experiments - Support command-line arguments for config and checkpoint resumption - Add automatic loss function selection based on config - Update package __init__.py with proper exports - Add project path constants and logging setup to utils - Complete Day 5: ready for first training run
- Update train.py to unpack label_map and class_weights from build_dataloaders - Flatten config properly for data loading - Add num_classes logging for verification
- Implement metrics.py with top-k accuracy, F1 scores, and confusion matrix - Create MetricsTracker for batch-wise metric aggregation - Add evaluate.py CLI for comprehensive model evaluation on test set - Generate confusion matrix visualizations with normalization options - Identify hardest/easiest classes and most confused pairs - Support JSON export of evaluation metrics - Add seaborn dependency for visualization - Complete Week 1: baseline pipeline with full evaluation suite
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