UNav Server provides a serverless implementation for indoor navigation using computer vision techniques. It leverages Modal for deployment and offers features like visual localization, path planning, and navigation guidance.

• Python 3.10+
• Modal CLI
• A Modal account and token

Create a virtual environment:

python -m venv .venv

Activate the virtual environment:

• On macOS/Linux: source .venv/bin/activate
• On Windows: .venv\Scripts\activate

Install dependencies:

pip install -r requirements.txt

Navigate to the folder

cd src/modal_functions/unav_v2

modal deploy unav_modal.py

scaledown_window and GPU type are configurable at deploy time using:

• UNAV_SCALEDOWN_WINDOW (default: 300)
• UNAV_GPU_TYPE (default: t4, allowed: a10, t4, any)

UNAV_SCALEDOWN_WINDOW=600 UNAV_GPU_TYPE=t4 modal deploy unav_modal.py

You can also deploy from GitHub UI using:

• Actions -> Deploy UNav v2 Modal -> Run workflow
• Set scaledown_window input
• Set gpu_type input (a10, t4, or any)
• Ensure repository secrets MODAL_TOKEN_ID and MODAL_TOKEN_SECRET are configured

python test_modal_functions.py