SnoutNet — Pet Nose Localization

Models (implementation files)

• models/snoutnet.py
• models/snoutnet_alexnet.py
• models/snoutnet_vgg.py

Scripts (entry points)

• scripts/train.py — main training entry
• scripts/test.py — evaluation / quick checks
• scripts/ensemble.py — ensemble builder/evaluator
• scripts/compare_models.py — compare multiple runs
• scripts/plot_curves.py — generate training/validation plots
• scripts/reality_check.py — sanity checks / baseline tests
• scripts/visualize.py — produce sample visualizations
• scripts/test.py

Getting started (example)

1. Create virtual environment and install requirements:
   • pip install -r requirements.txt
2. Prepare data:
   • Place raw or preprocessed data into data/
3. Train a model (example):
   • python scripts/train.py --config
4. Run evaluation:
   • python scripts/test.py --model
5. Visualize results:
   • python scripts/visualize.py --run
6. Generate summary plots:
   • python scripts/plot_curves.py --input-dir logs/