amc-setup-calibration-stack
Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose
Install / Use
npx skills add NVIDIA/skills --skill amc-setup-calibration-stackInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
OperationsSupported Platforms
Our assessment of amc-setup-calibration-stack
amc-setup-calibration-stack scores 92/100 on our quality scale, 183rd of 551 Operations skills we index (top 34%).
Its SKILL.md is 15 KB long, well organised into 50 sections with 12 code examples: a thorough specification that gives an agent plenty to work with.
With 3,421 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 6 days ago, so amc-setup-calibration-stack is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
amc-setup-calibration-stack compared with similar skills
All 4 of these similar skills score higher than amc-setup-calibration-stack; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| amc-setup-calibration-stack (this skill)by NVIDIA | 92 | 3.4k | 6d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 86.2k | 14d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.1k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 84.6k | today | MCP Server |
| crawl4aiby unclecode | 100 | 84.5k | 5d ago | MCP Server |
Frequently asked questions
- How do I install amc-setup-calibration-stack?
- Run
npx skills add NVIDIA/skills --skill amc-setup-calibration-stack. The install tabs above show the steps for each supported agent. - Which AI agents does amc-setup-calibration-stack work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is amc-setup-calibration-stack safe to use?
- It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is amc-setup-calibration-stack still maintained?
- The repository was last updated 6 days ago, so amc-setup-calibration-stack is actively maintained.
Skill content
View source on GitHubname: "amc-setup-calibration-stack" description: "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." metadata: author: "NVIDIA CORPORATION" tags: [amc, deepstream, docker, calibration, setup, ngc] owner: "NVIDIA CORPORATION" service: "auto-magic-calib" version: "1.0.0" reviewed: "2026-04-28" license: "Apache-2.0"
Skill: Launch AutoMagicCalib Release Containers
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.
Prerequisites
- Docker and Docker Compose installed
- NVIDIA Docker Runtime configured (for GPU support)
auto-magic-calibrepo on disk. Step 0b resolves the current repo, DeepStreamtools/auto-magic-calib,DEEPSTREAM_REPO_ROOT, or~/auto-magic-calib; otherwise it asks before cloninghttps://github.com/NVIDIA-AI-IOT/auto-magic-calib.- NGC account with access to NVIDIA container registry
- Docker runnable without
sudo; verify withdocker psbefore 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
dockergroup. Ask the user to run:
Then ask the user to confirmsudo usermod -aG docker $USER && newgrp dockerdocker psworks before continuing.
Agent note: If
docker pscannot be run from within the agent sandbox, ask the user to confirm it works (e.g. "Can you confirmdocker psruns without sudo?") before proceeding.
Step 0b: Resolve Repo Checkout
The skill needs AMC repo assets (compose/, sample data, and models/). Resolve an existing checkout first; ask before cloning into ~/auto-magic-calib.
REPO_URL="https://github.com/NVIDIA-AI-IOT/auto-magic-calib.git"
DEFAULT_CLONE_DIR="$HOME/auto-magic-calib"
CURRENT_GIT_ROOT="$(git rev-parse --show-toplevel 2>/dev/null || true)"
is_amc_checkout() {
[ -n "$1" ] \
&& [ -f "$1/README.md" ] \
&& grep -q "AutoMagicCalib" "$1/README.md" 2>/dev/null \
&& [ -f "$1/compose/compose.yml" ] \
&& grep -q "auto-magic-calib-ms" "$1/compose/ms/compose.yml" 2>/dev/null \
&& grep -q "auto-magic-calib-ui" "$1/compose/ui/compose.yml" 2>/dev/null
}
REPO_ROOT=""
for candidate in \
"$CURRENT_GIT_ROOT" \
"${CURRENT_GIT_ROOT:+$CURRENT_GIT_ROOT/tools/auto-magic-calib}" \
"${DEEPSTREAM_REPO_ROOT:+$DEEPSTREAM_REPO_ROOT/tools/auto-magic-calib}" \
"$PWD/tools/auto-magic-calib" \
"$DEFAULT_CLONE_DIR"; do
if is_amc_checkout "$candidate"; then
REPO_ROOT="$candidate"
echo "✓ Using auto-magic-calib checkout: $REPO_ROOT"
break
fi
done
if [ -z "$REPO_ROOT" ]; then
if [ -n "$CURRENT_GIT_ROOT" ] && [ -d "$CURRENT_GIT_ROOT/tools/auto-magic-calib" ]; then
echo "Found $CURRENT_GIT_ROOT/tools/auto-magic-calib, but it is not an initialized AMC checkout."
echo "If running from the DeepStream repository root:"
echo " git submodule update --init tools/auto-magic-calib"
fi
# Nothing usable on disk — STOP and ask the user for confirmation using the
# host's question mechanism; if none is available, ask in chat and wait.
# Do NOT clone silently from this block or clone over a tracked submodule path.
echo "No usable auto-magic-calib checkout found. Ask the user for confirmation:"
echo " Clone $REPO_URL into $DEFAULT_CLONE_DIR? [y/N]"
echo "On 'y' — run: git clone \"$REPO_URL\" \"$DEFAULT_CLONE_DIR\""
exit 1
fi
cd "$REPO_ROOT"
export REPO_ROOT
echo "REPO_ROOT=$REPO_ROOT"
Agent note: never clone silently. Prefer initialized DeepStream
tools/auto-magic-calib; do not clone over that submodule path. If it exists but is empty, ask the user to rungit submodule update --init tools/auto-magic-calib. Honour an alternate AMC path if provided.
Step 0c: Install Python venv (New Systems Only)
On a fresh system, pip and python3-venv may not be available. Install them first:
# Create a venv for HuggingFace CLI (project-local preferred)
REPO_DIR="$(git rev-parse --show-toplevel 2>/dev/null || pwd)"
HF_VENV="${REPO_DIR}/venv"
python3 -m venv "$HF_VENV" 2>/dev/null || {
echo "ERROR: python3-venv not available." >&2
echo "Install it manually: sudo apt install -y python3-venv python3-pip" >&2
exit 1
}
# Install HuggingFace hub (needed for VGGT download)
"$HF_VENV/bin/pip" install --upgrade pip huggingface_hub
Note: Skip this step if a venv with
hfalready exists (checkvenv/bin/hfin the repo root or~/venv/amc/bin/hf).
Step 1: Login to NGC
Ask the user for their NGC API key using the host's question mechanism; if none is available, ask in chat and wait. Then run:
echo "<NGC_API_KEY>" | docker login nvcr.io --username '$oauthtoken' --password-stdin
echo "✓ NGC authentication complete"
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" ]; then
echo "✓ VGGT model already present"
else
echo "✗ 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
To download VGGT: ask the user to accept the license at https://huggingface.co/facebook/VGGT-1B-Commercial and provide a read token from https://huggingface.co/settings/tokens using the host's question mechanism. Pass it through HF_TOKEN so it is not exposed in ps output:
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/
# Verify
ls -lh models/vggt/vggt_1B_commercial.pt
# Should show ~4.7GB file
Important: Download BEFORE setting
chown 1000:1000on 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 $REPO_ROOT/compose
# Find available backend port (8000-8009)
for port in {8000..8009}; do
if ! lsof -Pi :$port -sTCP:LISTEN -t >/dev/null 2>&1; then
MS_PORT=$port
echo "Using backend port: $MS_PORT"
break
fi
done
[ -z "$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}; do
if ! lsof -Pi :$port -sTCP:LISTEN -t >/dev/null 2>&1; then
UI_PORT=$port
echo "Using UI port: $UI_PORT"
break
fi
done
[ -z "$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"
fi
touch "$ENV_FILE"
chmod 600 "$ENV_FILE"
set_env_key() {
local k="$1" v="$2"
if grep -qE "^${k}=" "$ENV_FILE"; then
sed -i "s|^${k}=.*|${k}=${v}|" "$ENV_FILE"
else
echo "${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 exist
mkdir -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."
sudo chown 1000:1000 -R projects
sudo chown 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; do
echo "Checking access: $img"
if ! docker manifest inspect "$img" >/dev/null 2>&1; then
echo "NGC login succeeded, but this key cannot access the required image:" >&2
echo " $img" >&2
echo "Provide an NGC key with access to this image's namespace, then re-run Step 1 (login) and retry." >&2
exit 1
fi
done
# Start all services (images pulled automatically on first run)
docker compose up -d
# Check containers are running
docker compose ps
The exact image tags change by release; read them from the active compose files instead of hardcoding a version.
Step 6: Verify Services Are Running
# Read ports from the Compose environment file.
COMPOSE_ENV_BASENAME="env"
COMPOSE_ENV_FILE="$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
Truncated for display — read the full file on GitHub.
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