Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
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Preflight and set up the root-level workflow runtime. Use for installation, missing component environments, or third-party failures; do not use for rollout validation.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Prepare the complete runtime, then prove dependency-light workflow discovery works.
lint --all.export I4H_WORKFLOWS_REPO_URL="${I4H_WORKFLOWS_REPO_URL:-https://github.com/isaac-for-healthcare/i4h-workflows}"
I4H_REPO_DIR_NAME="${I4H_WORKFLOWS_REPO_URL%/}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME##*/}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME##*:}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME%.git}"
[ -n "$I4H_REPO_DIR_NAME" ] || { echo "Cannot derive a checkout name from I4H_WORKFLOWS_REPO_URL" >&2; exit 2; }
ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"
if [ ! -d "$ROOT/workflows/i4h_workflows" ]; then
ROOT="${I4H_WORKFLOWS:-$HOME/$I4H_REPO_DIR_NAME}"
[ -d "$ROOT/workflows/i4h_workflows" ] || git clone "$I4H_WORKFLOWS_REPO_URL" "$ROOT"
fi
export I4H_WORKFLOWS="$ROOT"
cd "$ROOT"
Treat this resolver as part of the skill contract: a hosted copy may run outside the base repository, so never assume the current checkout contains workflows/i4h_workflows. I4H_WORKFLOWS_REPO_URL selects the clone source. When I4H_WORKFLOWS is unset, derive the fallback directory from that URL; set I4H_WORKFLOWS only to reuse or choose a specific destination. Never replace an existing checkout.
uname -srm
command -v uv
command -v git
nvidia-smi
df -h .
./setup.sh --help
Require supported Linux on x86_64 or aarch64, uv, Git, network access for missing packages/assets, sufficient disk and model-cache space, and an NVIDIA driver compatible with the repository's Isaac Sim version. Read the exact current requirements from ./README.md; do not rely on remembered version numbers. Require Docker only when the requested local VLM or Cosmos service needs it.
Run the default full setup:
./setup.sh
The explicit equivalent is:
./setup.sh all
Use ./setup.sh clean only when the user explicitly requests a full rebuild or cleanup because it deletes generated caches, component environments, and third-party checkouts. Setup is idempotent; do not clean as a generic repair. The setup script restores pinned third-party sources and the upstream Isaac Sim skill catalog; do not copy that catalog into skills/.
./run.sh list
./run.sh lint --all
test -f ./third_party/IsaacSim-045ca8b/skills/SKILLS.md
Use run.sh show <workflow> --mode <mode> when the user named a workflow. These checks prove discovery and contracts without importing Isaac Sim. Use i4h-workflow-validate for an actual rollout.
On failure, report the first host, network, checkout, or uv-sync error and rerun full setup only after correcting that cause.
Require supported Linux, network access, uv, Git, disk space, and a compatible NVIDIA GPU/driver for simulator use.
Setup does not download every optional checkpoint or prove any rollout succeeds. clean is destructive to generated environments and third-party checkouts.
Set up the i4h workflow on this machine and tell me if any host requirements are missing. → preflight, run default full setup, then run discovery and lint --all.Report every host check, synced target, first failing component if any, discovery/lint results, and the smallest next smoke command. Do not claim simulator or policy success from setup alone.
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Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Customize NVIDIA Nemotron Voice Agent's Generic Pipecat example for healthcare appointment, five-field patient intake, or custom tool-calling workflows without a separate backend.
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Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.
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Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.
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Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.
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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.
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