ego4d_selection/README.md

# Ego4D Selection for Event-Driven Manipulation

This folder contains scripts to download only the Ego4D parts useful for the event-driven manipulation project.

## What to Download

Priority:

1. FHO annotations: state change, PNR, hand-object interaction, active object.
2. FHO clips selected by tool/state-change keywords.

Do not download full-scale Ego4D videos first.

## Prerequisite

Ego4D requires AWS credentials after license approval. Configure the default AWS profile before running the scripts.

Expected failure when credentials are missing:

```text
RuntimeError: Could not find AWS profile 'default'.
```

## Step 1: Download Annotations

```powershell
powershell -ExecutionPolicy Bypass -File D:\event_driven\01_data\ego4d_selection\download_ego4d_annotations.ps1
```

Output target:

```text
D:\ego4d_data\annotations
```

## Step 2: Select and Download Clips

```powershell
powershell -ExecutionPolicy Bypass -File D:\event_driven\01_data\ego4d_selection\select_and_download_ego4d_clips.ps1
```

Selection outputs:

```text
D:\event_driven\01_data\ego4d_selection\ego4d_selected_clips.csv
D:\event_driven\01_data\ego4d_selection\ego4d_selected_video_uids.txt
D:\event_driven\01_data\ego4d_selection\selection_summary.json
```

Downloaded clips target:

```text
D:\ego4d_data\clips
```

## Why This Subset

Ego4D is mainly useful for:

- event/state-change detection
- PNR timing
- hand-object contact
- short-term active object prediction
- object-centric world model training

It is not the best primary dataset for tool YOLO detection. Keep Open Images and your own tabletop data as the main YOLO training data.