28 lines
1.1 KiB
Markdown
28 lines
1.1 KiB
Markdown
# Little Sophia's Brain
|
|
|
|
A modular Python script designed to run on Little Sophia's Radxa ZERO 3W. It handles higher-level input processing outside the abilities of the ESP32 central controller.
|
|
|
|
- Face Detection
|
|
- Voice-to-Text (V2T)
|
|
|
|
---
|
|
|
|
## Installation
|
|
|
|
1. Clone this repository to your Radxa ZERO 3W.
|
|
2. Download and place the Vosk model in the install directory:
|
|
- [vosk-model-small-en-us-0.15](https://alphacephei.com/vosk/models)
|
|
3. (Jake needs to add the rest of the prerequisites here — e.g., Python packages, environment setup, etc.)
|
|
|
|
|
|
## TODO:
|
|
Tested with usb mic and camera only (Logitech C920)
|
|
|
|
## File Overview
|
|
|
|
| File | Description |
|
|
|------------------|------------------------------------------------------------------------------|
|
|
| `RetinaFace.rknn` | RKNN model for face detection and video streaming. |
|
|
| `main.py` | Core script. Integrates face detection and voice-to-text into Flask stream. |
|
|
| `realtime.py` | Voice-to-text module (Vosk). For testing separately. |
|