Docker Deployment

# Clone repository
git clone https://github.com/neuronav-io/neuronav-slam-sdk.git
cd neuronav-slam-sdk

# Build Docker image
./docker_build.sh

# Run container with camera access
./docker_run.sh

# Inside container, test SLAM
python3 examples/minimal_slam.py

docker build -t neuronav-slam .

docker run -it --rm \
  --privileged \
  --network host \
  -v /dev:/dev \
  -v $(pwd):/workspace \
  neuronav-slam

# Allow X11 connections
xhost +local:docker

# Run with display
docker run -it --rm \
  --privileged \
  --network host \
  -v /dev:/dev \
  -e DISPLAY=$DISPLAY \
  -v /tmp/.X11-unix:/tmp/.X11-unix \
  neuronav-slam

# Restore X11 security
xhost -local:docker

# docker-compose.yml
version: '3.8'

services:
  slam:
    build: .
    image: neuronav-slam:latest
    privileged: true
    network_mode: host
    volumes:
      - /dev:/dev
      - ./data:/data
    environment:
      - ROS_DOMAIN_ID=1
      - DISPLAY=${DISPLAY}
    command: python3 /workspace/examples/minimal_slam.py
    restart: unless-stopped

docker-compose up

docker run -it --rm \
  --privileged \
  -v /dev:/dev \
  -v $(pwd)/maps:/maps \
  neuronav-slam

docker run -it --rm \
  --privileged \
  -v /dev:/dev \
  -v $(pwd):/workspace \
  neuronav-slam bash

# Inside container
pip3 install -e /workspace  # Changes reflect immediately

# Verify camera is connected
lsusb | grep -E "Intel|Luxonis"

# Ensure privileged mode
docker run --privileged -v /dev:/dev neuronav-slam

# Allow X11 connections
xhost +local:docker

# Verify DISPLAY variable
echo $DISPLAY

# Use host network mode
docker run --network host neuronav-slam