Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.
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Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.
Set up the AutoMagicCalib microservice and UI from release containers: resolve an AMC checkout, authenticate to NGC, optionally download VGGT, configure Docker Compose, launch services, and verify readiness.
auto-magic-calib repo on disk. Step 0b resolves the current repo, DeepStream tools/auto-magic-calib, DEEPSTREAM_REPO_ROOT, or ~/auto-magic-calib; otherwise it asks before cloning https://github.com/NVIDIA-AI-IOT/auto-magic-calib.
NGC account with access to NVIDIA container registry
Docker runnable without sudo; verify with docker ps before continuing.
Instructions
Step 0: Verify Docker Runs Without sudo
docker ps
If it succeeds → continue.
If it fails with "permission denied" → the user is not in the docker group. Ask the user to run:
sudo usermod -aG docker $USER && newgrp docker
Then ask the user to confirm docker ps works before continuing.
Agent note: If docker ps cannot be run from within the agent sandbox, ask the user to confirm it works (e.g. "Can you confirm docker ps runs without sudo?") before proceeding.
Step 0b: Resolve Repo Checkout
The skill needs AMC repo assets (compose/, sample data, and models/). Resolve an existing checkout first; ask before cloning into ~/auto-magic-calib.
Agent note: never clone silently. Prefer initialized DeepStream tools/auto-magic-calib; do not clone over that submodule path. If it exists but is empty, ask the user to run git submodule update --init tools/auto-magic-calib. Honour an alternate AMC path if provided.
Step 0c: Install Python venv (New Systems Only)
On a fresh system, pip and python3-venv may not be available. Install them first:
Step 2: Download VGGT Model (If Not Already Present)
export REPO_ROOT=$(git rev-parse --show-toplevel)
cd"$REPO_ROOT"if [ -f "models/vggt/vggt_1B_commercial.pt" ]; thenecho"✓ VGGT model already present"elseecho"✗ VGGT model not found"echo"Options:"echo" 1. Continue without VGGT (AMC only - sufficient for most use cases)"echo" 2. Download VGGT model (~4.7GB, requires HuggingFace account)"fi
REPO_DIR="$(git rev-parse --show-toplevel 2>/dev/null || pwd)"cd"$REPO_DIR"# Find the HuggingFace CLI binary (named 'hf', not 'huggingface-cli')
HF_BIN="$(find "$REPO_DIR/venv" ~/venv/amc -name hf -type f 2>/dev/null | head -1)"
{ [ -z "$HF_BIN" ] || [ ! -x "$HF_BIN" ]; } && { echo"ERROR: hf binary not found or not executable; install the hf CLI (Step 0c) or set HF_BIN" >&2; exit 1; }
# Do NOT use --token on the command line (leaks via ps/argv). The HF CLI# reads HF_TOKEN from the environment automatically.
HF_TOKEN="<HF_TOKEN>""$HF_BIN" download facebook/VGGT-1B-Commercial \
--local-dir models/vggt/
# Verifyls -lh models/vggt/vggt_1B_commercial.pt
# Should show ~4.7GB file
Important: Download BEFORE setting chown 1000:1000 on the models directory — the current user needs write access during download. Set permissions in Step 4 after download completes.
Step 3: Configure Compose Environment Variables
The Compose environment file controls ports and paths. Update it before launching:
cd$REPO_ROOT/compose
# Find available backend port (8000-8009)for port in {8000..8009}; doif ! lsof -Pi :$port -sTCP:LISTEN -t >/dev/null 2>&1; then
MS_PORT=$portecho"Using backend port: $MS_PORT"breakfidone
[ -z "$MS_PORT" ] && { echo"ERROR: no free backend port in 8000-8009; free one or widen the range." >&2; exit 1; }
# Find available UI port (5000-5009)for port in {5000..5009}; doif ! lsof -Pi :$port -sTCP:LISTEN -t >/dev/null 2>&1; then
UI_PORT=$portecho"Using UI port: $UI_PORT"breakfidone
[ -z "$UI_PORT" ] && { echo"ERROR: no free UI port in 5000-5009; free one or widen the range." >&2; exit 1; }
# Get host IP
HOST_IP=$(hostname -I | awk '{print $1}')
echo"Host IP: $HOST_IP"# Preserve existing keys and restrict permissions on the Compose environment file.
COMPOSE_ENV_BASENAME="env"
ENV_FILE=".${COMPOSE_ENV_BASENAME}"if [ -f "$ENV_FILE" ]; then
BACKUP="${ENV_FILE}.bak.$(date +%s)"cp"$ENV_FILE""$BACKUP"chmod 600 "$BACKUP"fitouch"$ENV_FILE"chmod 600 "$ENV_FILE"set_env_key() {
local k="$1" v="$2"if grep -qE "^${k}=""$ENV_FILE"; then
sed -i "s|^${k}=.*|${k}=${v}|""$ENV_FILE"elseecho"${k}=${v}" >> "$ENV_FILE"fi
}
set_env_key AUTO_MAGIC_CALIB_MS_PORT "${MS_PORT}"
set_env_key AUTO_MAGIC_CALIB_UI_PORT "${UI_PORT}"
set_env_key PROJECT_DIR "../../projects"
set_env_key MODEL_DIR "../../models"
set_env_key HOST_IP "${HOST_IP}"# Keep timestamped Compose environment backups out of git.
GITIGNORE="$REPO_ROOT/.gitignore"touch"$GITIGNORE"
BACKUP_PATTERN="compose/${ENV_FILE}.bak.*"
grep -qxF "$BACKUP_PATTERN""$GITIGNORE" || echo"$BACKUP_PATTERN" >> "$GITIGNORE"echo"✓ Compose environment file updated"cat"$ENV_FILE"
Important: HOST_IP must be the machine's network IP (not localhost) so the UI container can reach the backend from a browser.
Optional: set VGGT_MODEL_PATH only if the VGGT model is mounted at a non-default container path; default is /tmp/vggt_model/vggt_1B_commercial.pt inside the MS container.
Optional for RTSP calibration: use skills/amc-run-rtsp-calibration/SKILL.md after launch. That skill verifies VIOS reachability and, when needed, relaunches the microservice with a temporary compose override that exports VIOS_BASE_URL without changing checked-in compose files.
Step 4: Set Directory Permissions
The containers run as UID/GID 1000. The projects and models directories must be owned by this UID for containers to read/write properly:
cd"$REPO_ROOT"# Create projects directory if it doesn't existmkdir -p projects
# Set ownership (required for containers to write calibration outputs).# Do this AFTER VGGT download is complete (current user needs write access during download).# Get explicit user confirmation before running sudo chown — it recursively changes# ownership of $REPO_ROOT/projects and $REPO_ROOT/models to UID/GID 1000.
[ -d projects ] && [ -d models ] || {
echo"ERROR: expected projects/ and models/ under $REPO_ROOT" >&2; exit 1;
}
echo"About to chown -R 1000:1000 on:"echo" $REPO_ROOT/projects"echo" $REPO_ROOT/models"echo"(required because containers run as UID 1000). Confirm before proceeding."sudochown 1000:1000 -R projects
sudochown 1000:1000 -R models
echo"✓ Permissions set"
Step 5: Launch Services
Before pulling, fail fast if the NGC key authenticated in Step 1 but cannot actually access a release image — otherwise docker compose up aborts partway with a 401/403 after some work is already done.
cd$REPO_ROOT/compose
# Fail-fast image-access check: confirm the NGC key can reach every release# image BEFORE pulling. `docker manifest inspect` checks registry access without# downloading layers, and the image list is read from the resolved compose so it# tracks the release tag automatically.
IMAGES=$(docker compose config --images | sort -u)
[ -z "$IMAGES" ] && { echo"ERROR: no images resolved from compose — check the Compose environment settings and chosen profile." >&2; exit 1; }
for img in$IMAGES; doecho"Checking access: $img"if ! docker manifest inspect "$img" >/dev/null 2>&1; thenecho"NGC login succeeded, but this key cannot access the required image:" >&2
echo" $img" >&2
echo"Provide an NGC key with access to this image's namespace, then re-run Step 1 (login) and retry." >&2
exit 1
fidone# Start all services (images pulled automatically on first run)
docker compose up -d
# Check containers are running
docker compose ps
The exact image tags change by release; read them from the active compose files instead of hardcoding a version.
Step 6: Verify Services Are Running
# Read ports from the Compose environment file.
COMPOSE_ENV_BASENAME="env"
COMPOSE_ENV_FILE="$REPO_ROOT/compose/.${COMPOSE_ENV_BASENAME}"
MS_PORT=$(grep AUTO_MAGIC_CALIB_MS_PORT "$COMPOSE_ENV_FILE" | cut -d= -f2)
UI_PORT=$(grep AUTO_MAGIC_CALIB_UI_PORT "$COMPOSE_ENV_FILE" | cut -d= -f2)
HOST_IP=$(grep HOST_IP "$COMPOSE_ENV_FILE" | cut -d= -f2)
# Wait for microservice readiness. Cold image pulls or first startup can need# extra time after `docker compose up -d` returns.
READY_URL="http://localhost:${MS_PORT}/v1/ready"echo"Waiting for microservice readiness at ${READY_URL} ..."
ready_response=""for attempt in $(seq 1 24); doif ready_response=$(curl -fsS --max-time 5 "${READY_URL}" 2>/dev/null) && \
echo"${ready_response}" | grep -q '"code"[[:space:]]*:[[:space:]]*0'; thenecho"Microservice ready: ${ready_response}"breakfiif [ "${attempt}" -lt 24 ]; thenprintf" [%02d/24] Microservice not ready yet; retrying in 5s...\n""${attempt}"sleep 5
fidoneif ! echo"${ready_response}" | grep -q '"code"[[:space:]]*:[[:space:]]*0'; thenecho"ERROR: microservice did not report ready within 120 seconds: ${READY_URL}" >&2
echo"Check status and logs:" >&2
echo" cd ${REPO_ROOT}/compose && docker compose ps" >&2
echo" cd ${REPO_ROOT}/compose && docker compose logs auto-magic-calib-ms" >&2
exit 1
fi# Check UI is serving
UI_STATUS=$(curl -s -o /dev/null -w "%{http_code}" --max-time 5 "http://localhost:${UI_PORT}")
if [ "${UI_STATUS}" != "200" ]; thenecho"ERROR: Web UI returned HTTP ${UI_STATUS}; check docker compose ps and UI logs." >&2
exit 1
fiecho"Web UI ready: HTTP ${UI_STATUS}"echo"Microservice: http://${HOST_IP}:${MS_PORT}"echo"Web UI: http://${HOST_IP}:${UI_PORT}"
Success Criteria
docker compose ps shows MS and UI containers Up; MS should be healthy.
/v1/ready returns code:0 and Step 6 prints the microservice and UI URLs.
Browser access to http://<HOST_IP>:<AUTO_MAGIC_CALIB_UI_PORT> works.
Projects persist under $REPO_ROOT/projects/.
Troubleshooting
Issue
Fix
Docker permission denied
Ask the user to run sudo usermod -aG docker $USER && newgrp docker, then retry docker ps.
docker login rejected
Ask for a current NGC key and log in again.
Required image inaccessible
The key lacks image namespace access; ask for a key with access, then retry Step 1 and Step 5.
python3 -m venv, pip, or hf missing
Install python3-venv/python3-pip; the HF binary is named hf.
VGGT permission error
Download VGGT before chown 1000:1000; to recover, restore user ownership of models/ and re-download.
Port in use
Pick a free MS port in 8000-8009 and UI port in 5000-5009, then update the Compose environment file.
Readiness timeout or exited container
Run cd $REPO_ROOT/compose && docker compose ps and inspect docker compose logs auto-magic-calib-ms.
Project/model permission denied
Re-run Step 4 for projects/ or models/ only.
UI cannot reach backend
Verify HOST_IP in the Compose environment file is the machine network IP, not localhost.
GPU unavailable
Verify NVIDIA runtime with docker run --rm --runtime=nvidia --gpus all ubuntu:20.04 nvidia-smi.
Common Fixes:
cd$REPO_ROOT/compose
# View logs
docker compose logs -f
# View logs for specific service
docker compose logs -f auto-magic-calib-ms
# Restart all services
docker compose restart
# Stop and remove containers
docker compose down
# Update Compose environment settings and relaunch
docker compose up -d
Stopping the Services
cd$REPO_ROOT/compose
# Stop all services (containers removed, data persisted)
docker compose down
# Stop and remove volumes
docker compose down -v
Related Skills
skills/amc-run-sample-calibration/SKILL.md - Sanity-check the running stack with the bundled sample dataset
skills/amc-run-video-calibration/SKILL.md - Calibrate from your own pre-recorded MP4s via REST API
skills/amc-run-rtsp-calibration/SKILL.md - Calibrate from live RTSP streams through VIOS capture
