# Gray_bat_cave

A ThruTracker training dataset: one clipped emergence plus the detection settings
that were used on it.

## Project Structure

```
Gray_bat_cave/
├── config/              # Configuration files — default_config.yml holds the settings
├── videos/              # The training clip
├── outputs/             # Pipeline outputs (populated when you process)
│   ├── detections/     # Detection CSVs
│   ├── tracks/         # Processed track data
│   ├── overlay_videos/ # Visualization videos
│   ├── review_images/  # Track review images
│   ├── figures/
│   └── runs/           # Per-run settings snapshots
├── logs/                # Execution logs
└── project_manifest.yml # Project metadata
```

## How to use it

1. Unzip anywhere.
2. Open this folder as a project in ThruTracker.
3. Work the clip from scratch first — your own detection settings, your own gate,
   your own count.
4. Then load `config/default_config.yml` and compare against what you chose.

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