NVIDIA Docs Hub NVIDIA Clara Clara Holoscan Deploy 0.7.4

1. Introduction
- 1.1. Architecture
2. Installation
- 2.1. System Requirements
- 2.2. Steps to Install
- 2.3. Verify Installation
- 2.4. Ansible Installation
  - 2.4.1. Steps to Install
- 2.5. Installation on a Cloud Service Provider (CSP)
3. Uninstallation
- 3.1. Steps to uninstall Clara
4. Clara Administration
- 4.1. Configuration
- 4.2. Start/Stop/Restart the platform
  - 4.2.1. Restarting the Operating System
- 4.3. Network Configuration
- 4.4. AI models for TensorRT Inference Server
- 4.5. Key Commands
5. Core Concepts
- 5.1. Directed Acyclic Graph (DAG)
- 5.2. Data Source
- 5.3. Operator
- 5.4. Pipeline
- 5.5. Service
- 5.6. Job
- 5.7. Triggering a Pipeline
- 5.8. Data Sink
6. How to Run a Reference Pipeline
- 6.1. Select a Reference Pipeline
- 6.2. Run Reference Pipelines by Sending DICOM Instances Over Network
- 6.3. Run Reference Pipelines using Local Input Files
7. Clara Pipeline Driver API
- 7.1. Clara Pipeline Driver Overview
- 7.2. Clara Pipeline Callbacks
- 7.3. Clara Pipeline Driver
- 7.4. NVIDIA Clara Pipeline Driver Guidance
- 7.5. Clara Pipeline Fast I/O Allocations
- 7.6. Clara Pipeline Fast I/O Context
- 7.7. Clara Pipeline Fast I/O Entries
- 7.8. Clara Pipeline Payload
- 7.9. Clara Pipeline Payload Entry
  - 7.9.1. Name
  - 7.9.2. Path
- 7.10. Clara Pipeline Driver Callbacks
- 7.11. Clara Pipeline Fast I/O Allocations
- 7.12. Clara Pipeline Fast I/O Context
- 7.13. Clara Pipeline FastIO Entry
- 7.14. Pipeline Stage Payload
- 7.15. Pipeline Payload Entry
  - 7.15.1. Name
  - 7.15.2. Path
- 7.16. Clara Pipeline Callbacks
- 7.17. Clara Pipeline Driver
  - 7.17.1. Clara Operator Life-Cycle
- 7.18. Clara Pipeline Payload
  - 7.18.1. Input Entries
  - 7.18.2. Output Entries
- 7.19. Clara Pipeline Payload Entry
  - 7.19.1. Name
  - 7.19.2. Path
8. Pipeline Definition Language
- 8.1. Clara Pipeline Definition Language Overview
  - 8.1.1. Features
- 8.2. Clara Deploy SDK Pipeline Glossary
  - 8.2.1. Clara Deploy SDK PLatform
  - 8.2.2. Container
  - 8.2.3. Containerized Application
  - 8.2.4. Directed Acyclic Graph (DAG)
  - 8.2.5. Payload
  - 8.2.6. Pipeline
  - 8.2.7. Pipeline Application
  - 8.2.8. Pipeline Job
  - 8.2.9. Operator
  - 8.2.10. Service
- 8.3. Operators
- api-version 0.7.0
- api-version 0.5.0
- 8.6. The Anatomy of an Operator
  - 8.6.1. Disk-based I/O
  - 8.6.2. Shared Memory I/O
- 8.7. Argo vs. Clara Orchestration
- 8.8. Pipelines
  - 8.8.1. A simple pipeline example
  - 8.8.2. Pipelines with Untyped Operators
  - 8.8.3. Pipelines with Typed Operators for Performance and Explicit Data Typing
    - 8.8.3.1. Implicit Semantics, Explicit Types
    - 8.8.3.2. Operator Reuse Across Pipelines
  - 8.8.4. Pipelines with Operators in Private Registries
    - ngc-clara
    - 8.8.4.2. Custom Docker Registry Secrets
- 8.9. Services
- 8.10. Connections
  - 8.10.1. Properties
    - 8.10.1.1. http
- 8.11. Container
  - 8.11.1. Properties
- 8.12. Document
  - 8.12.1. Properties
- 8.13. Import
  - 8.13.1. Properties
    - 8.13.1.1. path
    - 8.13.1.2. args
  - 8.13.2. Overriding Values on Import
    - 8.13.2.1. Example
- 8.14. Input
  - 8.14.1. Properties
- 8.15. Operator
  - 8.15.1. Properties
- 8.16. Output
  - 8.16.1. Properties
- 8.17. Pipeline
  - 8.17.1. Properties
- 8.18. Requests
  - 8.18.1. Properties
- 8.19. Service
  - 8.19.1. Properties
- 8.20. Syntax & Grammar
  - 8.20.1. YAML Basics
  - 8.20.2. Operator Definitions
  - 8.20.3. Service Definitions
- 8.21. Template
  - 8.21.1. Properties
    - 8.21.1.1. parameters
    - 8.21.1.2. Example:
  - 8.21.2. Placeholders
- 8.22. Clara Structures and Primitives
  - 8.22.1. Clara Structures
  - 8.22.2. Clara Primitive Types
  - 8.22.3. Examples of Valid Declarations
- 8.23. Variables
9. Bundled Operators
- 9.1. Clara DICOM Reader
  - 9.1.1. Requirements
  - 9.1.2. Running the DICOM Reader
- 9.2. Clara DICOM Writer
  - 9.2.1. Requirements
  - 9.2.2. Running the DICOM Writer
- 9.3. Clara Deploy DICOM Parser Operator
  - 9.3.1. Overview
  - 9.3.2. Inputs
  - 9.3.3. Outputs
  - 9.3.4. Directory Structure
  - 9.3.5. Parameters
  - 9.3.6. Executing Operator Locally
  - 9.3.7. Executing Operator in Docker
  - 9.3.8. License
  - 9.3.9. Suggested Reading
- 9.4. Clara Deploy Base Inference Operator V2
  - 9.4.1. Overview
    - 9.4.1.1. Version information
  - 9.4.2. Inputs
  - 9.4.3. Outputs
  - 9.4.4. AI Model
    - 9.4.4.1. NVIDIA Triton Inference Server
  - 9.4.5. Directory Structure
  - 9.4.6. Executing Operator as Docker Container
  - 9.4.7. Executing Operator Docker Container Interactively
  - 9.4.8. Creating Model Specific Application
    - 9.4.8.1. Prerequisites
    - 9.4.8.2. Steps
  - 9.4.9. License
  - 9.4.10. Suggested Reading
- 9.5. Clara AI Liver Tumor Segmentation Operator
  - 9.5.1. Overview
  - 9.5.2. Inputs
  - 9.5.3. Outputs
  - 9.5.4. AI Model
    - 9.5.4.1. NVIDIA TensorRT Inference Server (TRTIS)
  - 9.5.5. Directory Structure
  - 9.5.6. Executing Operator as Docker Container
  - 9.5.7. Executing Operator Docker Container Interactively
- 9.6. Clara Deploy SDK VNet Segmentation Operator
  - 9.6.1. Overview
  - 9.6.2. Data Input
  - 9.6.3. Data Output
  - 9.6.4. Parameters
  - 9.6.5. Dependencies
  - 9.6.6. Execution of VNet Segmentation Operator
- 9.7. Clara AI Brain Tumor Segmentation Operator
  - 9.7.1. Overview
  - 9.7.2. Inputs
  - 9.7.3. Outputs
  - 9.7.4. AI Model
    - 9.7.4.1. NVIDIA TensorRT Inference Server (TRTIS)
  - 9.7.5. Directory Structure
  - 9.7.6. Executing Operator Locally
  - 9.7.7. Executing Operator in Docker
- 9.8. Clara AI Hippocampus Segmentation Operator
  - 9.8.1. Overview
  - 9.8.2. Inputs
  - 9.8.3. Outputs
  - 9.8.4. AI Model
    - 9.8.4.1. NVIDIA TensorRT Inference Server (TRTIS)
  - 9.8.5. Directory Structure
  - 9.8.6. Executing Operator Locally
  - 9.8.7. Executing Operator in Docker
- 9.9. Clara AI Spleen Segmentation
  - 9.9.1. Overview
  - 9.9.2. Inputs
  - 9.9.3. Outputs
  - 9.9.4. AI Model
    - 9.9.4.1. NVIDIA Triton Inference Server
  - 9.9.5. Directory Structure
  - 9.9.6. Executing Operator as Docker Container
  - 9.9.7. Executing Operator Docker Container Interactively
- 9.10. Malaria Microscopy Classification Operator
  - 9.10.1. Overview
  - 9.10.2. Inputs
  - 9.10.3. Outputs
  - 9.10.4. AI Model
    - 9.10.4.1. NVIDIA TensorRT Inference Server (TRTIS)
  - 9.10.5. Directory Structure
  - 9.10.6. Executing the Operator Locally
  - 9.10.7. Executing the Operator in Docker
- 9.11. Clara AI Lung Tumor Segmentation Operator
  - 9.11.1. Overview
  - 9.11.2. Inputs
  - 9.11.3. Outputs
  - 9.11.4. AI Model
    - 9.11.4.1. NVIDIA Triton Inference Server
  - 9.11.5. Directory Structure
  - 9.11.6. Executing Operator as Docker Container
  - 9.11.7. Executing Operator Docker Container Interactively
- 9.12. Colon Tumor Segmentation Operator
  - 9.12.1. Overview
  - 9.12.2. Inputs
  - 9.12.3. Outputs
  - 9.12.4. AI Model
    - 9.12.4.1. NVIDIA Triton Inference Server
  - 9.12.5. Directory Structure
  - 9.12.6. Executing Operator as Docker Container
  - 9.12.7. Executing Operator Docker Container Interactively
- 9.13. Clara AI Pancreas Tumor Segmentation
  - 9.13.1. Overview
  - 9.13.2. Inputs
  - 9.13.3. Outputs
  - 9.13.4. AI Model
    - 9.13.4.1. NVIDIA Triton Inference Server (formerly known as TRTIS)
  - 9.13.5. Directory Structure
  - 9.13.6. Executing Operator as Docker Container
  - 9.13.7. Executing Operator Docker Container Interactively
- 9.14. Chest X-ray Classification Operator
  - 9.14.1. Overview
  - 9.14.2. Inputs
  - 9.14.3. Outputs
  - 9.14.4. AI Model
    - 9.14.4.1. NVIDIA TensorRT Inference Server (TRTIS)
  - 9.14.5. Directory Structure
  - 9.14.6. Executing Operator Locally
  - 9.14.7. Executing Operator in Docker
- 9.15. Breast Microscopy Classification Operator
  - 9.15.1. Overview
  - 9.15.2. Inputs
  - 9.15.3. Outputs
  - 9.15.4. AI Model
    - 9.15.4.1. NVIDIA TensorRT Inference Server (TRTIS)
  - 9.15.5. Directory Structure
  - 9.15.6. Executing the Operator Locally
  - 9.15.7. Executing the Operator in Docker
- 9.16. Clara AI Prostate Segmentation
  - 9.16.1. Overview
  - 9.16.2. Inputs
  - 9.16.3. Outputs
  - 9.16.4. AI Model
    - 9.16.4.1. NVIDIA Triton Inference Server
  - 9.16.5. Directory Structure
  - 9.16.6. Executing Operator as Docker Container
  - 9.16.7. Executing Operator Docker Container Interactively
- 9.17. CT Recon Operator
  - 9.17.1. Overview
  - 9.17.2. Data Input
  - 9.17.3. Data Output
  - 9.17.4. Parameters
  - 9.17.5. Dependencies
  - 9.17.6. Directory Structure
  - 9.17.7. Optimization
- 9.18. Clara Register Results
  - 9.18.1. Requirements/Dependencies
  - 9.18.2. Source Code & Pipeline Example
  - 9.18.3. Inputs
  - 9.18.4. Outputs
  - 9.18.5. Directory Structure
  - 9.18.6. Executing the Operator Within a Container
    - 9.18.6.1. Steps
    - 9.18.6.2. Example
- 9.19. Clara Genomics Analysis
  - 9.19.1. Overview
    - 9.19.1.1. Components in the toolset:
      - 9.19.1.1.1. cudamapper
      - 9.19.1.1.2. racon
    - 9.19.1.2. 3rd party tools:
      - 9.19.1.2.1. minimap2
      - 9.19.1.2.2. miniasm
  - 9.19.2. Directory Structure
- 9.20. FastIO-ITK Operator
  - 9.20.1. Overview
  - 9.20.2. Commands
- 9.21. DICOM RTSTRUCT Writer Operator
  - 9.21.1. Overview
  - 9.21.2. Inputs
  - 9.21.3. Outputs
  - 9.21.4. Directory Structure
  - 9.21.5. Executing the Operator Locally
  - 9.21.6. Executing Operator in Docker
- 9.22. Clara FastIO Variable Passthrough - Nifti to FastIO Variable Conveter Operator
  - 9.22.1. Overview
  - 9.22.2. Inputs
  - 9.22.3. Outputs
  - 9.22.4. Directory Structure
  - 9.22.5. License
  - 9.22.6. Suggested Reading
- 9.23. Clara FastIO Variable Passthrough - Fastio to Npz Converter Operator
  - 9.23.1. Overview
  - 9.23.2. Inputs
  - 9.23.3. Outputs
  - 9.23.4. Directory Structure
  - 9.23.5. License
  - 9.23.6. Suggested Reading
- 9.24. Clara FastIO Variable Passthrough - Compare Operator
  - 9.24.1. Overview
  - 9.24.2. Inputs
  - 9.24.3. Outputs
  - 9.24.4. Directory Structure
  - 9.24.5. License
  - 9.24.6. Suggested Reading
- 9.25. DeepStream App Operator
  - 9.25.1. Quick Start
  - 9.25.2. Inputs & Outputs
  - 9.25.3. Sample AI model (Organ Object Detector)
- 9.26. Digital Pathology Image Processing Operator
  - 9.26.1. Overview
  - 9.26.2. Commands
- 9.27. Clara Deploy AI Lung Segmentation Operator
  - 9.27.1. Overview
  - 9.27.2. Inputs
  - 9.27.3. Outputs
  - 9.27.4. AI Model
    - 9.27.4.1. NVIDIA Triton Inference Server (formerly known as TRTIS)
  - 9.27.5. Directory Structure
  - 9.27.6. Executing Operator Locally
  - 9.27.7. Executing Operator in Docker
  - 9.27.8. License
  - 9.27.9. Suggested Reading
- 9.28. Clara Deploy AI COVID-19 Classification Operator
  - 9.28.1. Overview
  - 9.28.2. Inputs
  - 9.28.3. Outputs
  - 9.28.4. AI Model
    - 9.28.4.1. NVIDIA Triton Inference Server (formerly known as TRTIS)
  - 9.28.5. Directory Structure
  - 9.28.6. Executing Operator Locally
  - 9.28.7. Executing Operator in Docker
  - 9.28.8. License
  - 9.28.9. Suggested Reading
- 9.29. Clara Deploy AI COVID-19 Lesion Segmentation Operator
  - 9.29.1. Overview
  - 9.29.2. AI Model
    - 9.29.2.1. References
  - 9.29.3. Operator Inputs
  - 9.29.4. Operator Outputs
    - 9.29.4.1. NVIDIA Triton Inference Server (formerly known as TRTIS)
  - 9.29.5. Directory Structure
  - 9.29.6. Executing Operator as Docker Container
  - 9.29.7. Executing Operator Docker Container Interactively
- 9.30. Clara Deploy Series Selector
  - 9.30.1. Overview
  - 9.30.2. Inputs
  - 9.30.3. Outputs
  - 9.30.4. Directory Structure
  - 9.30.5. Executing Operator in Docker
  - 9.30.6. Executing Operator Locally
  - 9.30.7. Customizing Series Matching Rules
- 9.31. Copy customized rules file overwriting the default one.
  - 9.31.1. License
  - 9.31.2. Suggested Reading
- 9.32. Digital Pathology Nuclei Segmentation Operator
  - 9.32.1. Overview
  - 9.32.2. Commands
    - segmentation
      - 9.32.2.1.1. Input
      - 9.32.2.1.2. Output
- 9.33. Clara Deploy DICOM Segmentation Writer Operator
  - 9.33.1. Overview
  - 9.33.2. Inputs
  - 9.33.3. Outputs
  - 9.33.4. Directory Structure
  - 9.33.5. Executing the Operator Docker Image
  - 9.33.6. Executing the Operator Docker Image Interactively
  - 9.33.7. License
  - 9.33.8. Suggested Reading
- 9.34. Clara Deploy DICOM Report Object Writer
  - 9.34.1. Overview
  - 9.34.2. Inputs
  - 9.34.3. Outputs
  - 9.34.4. Environment Variables
  - 9.34.5. Directory Structure
  - 9.34.6. Executing the Operator Docker Image
  - 9.34.7. Executing the Operator Docker Image Interactively
  - 9.34.8. License
  - 9.34.9. Suggested Reading
10. User Defined Operators
- 10.1. Clara Deploy Operator Development Guide
- 10.2. Developing Clara Operators Using the Operator Development Kit
11. Bundled Pipelines
- 11.1. Liver Segmentation Pipeline
  - 11.1.1. Pipeline Definition
  - 11.1.2. Executing the Pipeline
- 11.2. CT Reconstruction Pipeline
  - 11.2.1. Overview
  - 11.2.2. Data
  - 11.2.3. Operators
  - 11.2.4. Execution of Reconstruction docker
    - 11.2.4.1. Reconstruction Operator Docker Image
  - 11.2.5. Execute of Reconstruction Pipeline within Clara
  - 11.2.6. CT Recon Perf pipeline
  - 11.2.7. CT Recon Liver segmentation pipeline
- 11.3. Multi AI Pipeline
  - 11.3.1. Overview
  - 11.3.2. Data
  - 11.3.3. Execution Steps on Clara Platform
- 11.4. Vnet Segmentation pipeline
  - 11.4.1. Overview
  - 11.4.2. Data
  - 11.4.3. Operators
- 11.5. Clara AI Brain Tumor Segmentation Pipeline
  - 11.5.1. Pipeline Definition
  - 11.5.2. Executing the Pipeline
- 11.6. Hippocampus Segmentation Pipeline
  - 11.6.1. Pipeline Definition
  - 11.6.2. Executing the Pipeline
- 11.7. Spleen Segmentation Pipeline
  - 11.7.1. Pipeline Definition
  - 11.7.2. Executing the Pipeline
- 11.8. Malaria Microscopy Classification Pipeline
  - 11.8.1. Pipeline Definition
  - 11.8.2. Executing the Pipeline
- 11.9. Lung Tumor Segmentation Pipeline
  - 11.9.1. Pipeline Definition
  - 11.9.2. Executing the Pipeline
- 11.10. Colon Tumor Segmentation Pipeline
  - 11.10.1. Pipeline Definition
  - 11.10.2. Executing the Pipeline
- 11.11. Pancreas Tumor Segmentation Pipeline
  - 11.11.1. Pipeline Definition
  - 11.11.2. Executing the Pipeline
- 11.12. Chest X-ray Classification Pipeline
  - 11.12.1. Pipeline Definition
  - 11.12.2. Executing the Pipeline
  - 11.12.3. Datasets
- 11.13. Breast Pathology Image Classification Pipeline
  - 11.13.1. Pipeline Definition
  - 11.13.2. Executing the Pipeline
- 11.14. Clara AI Prostate Segmentation Pipeline
  - 11.14.1. Overview
  - 11.14.2. Pipeline Definition
  - 11.14.3. Executing the Pipeline
- 11.15. De Novo Sequence Assembly - Clara Genomics Analysis
  - 11.15.1. Pipeline Definition
  - 11.15.2. Executing the Pipeline
  - 11.15.3. Data Input
  - 11.15.4. Data Output
- 11.16. 3D Image Processing Pipeline using FastIO
  - 11.16.1. Pipeline Definition
  - 11.16.2. Executing the Pipeline
  - 11.16.3. Data Input
  - 11.16.4. Data Output
  - 11.16.5. Viewing the Output Volume Image
- 11.17. FastIO Passthrough Pipeline Using FastIO Variable API
  - 11.17.1. Pipeline Definition
  - 11.17.2. Data Input
  - 11.17.3. Data Output
  - 11.17.4. Executing the Pipeline
  - 11.17.5. Check Job Status and Download/View Payloads in Clara Console/Dashboard
  - 11.17.6. Download and Verify the Outputs
- 11.18. Suggested Reading
- 11.19. DeepStream Batch Pipeline
  - 11.19.1. Pipeline Definition
  - 11.19.2. Executing the Pipeline
  - 11.19.3. Data Input
  - 11.19.4. Data Output
  - 11.19.5. Viewing the Output Video
  - 11.19.6. Performance Implications
- 11.20. Digital Pathology Image Processing Pipeline
  - 11.20.1. Pipeline Definition
    - 11.20.1.1. dp-sample-pipeline-no-optimization.yaml
    - 11.20.1.2. dp-sample-pipeline.yaml
  - 11.20.2. Executing the Pipeline
  - 11.20.3. Data Input
  - 11.20.4. Data Output
  - 11.20.5. Viewing the Output Volume Image
- 11.21. Clara Deploy AI COVID-19 Classification Pipeline
  - 11.21.1. DISCLAIMER
  - 11.21.2. Pipeline Definition
  - 11.21.3. Executing the Pipeline
  - 11.21.4. License
  - 11.21.5. Suggested Reading
- 11.22. Clara Deploy DICOM Series Selection Pipeline
  - 11.22.1. Overview
  - 11.22.2. Pipeline Definition
  - 11.22.3. Executing the Pipeline
  - 11.22.4. License
  - 11.22.5. Suggested Reading
- 11.23. Digital Pathology Nuclei Segmentation Pipeline
  - 11.23.1. Pipeline Definition
    - 11.23.1.1. dp-nuclei-segmentation-pipeline.yaml
  - 11.23.2. Executing the Pipeline
  - 11.23.3. Data Input
  - 11.23.4. Data Output
  - 11.23.5. Viewing the Output Volume Image
12. User Defined Pipelines
- 12.1. Build Custom Operators
- 12.2. Place AI Model Files in the Right Directory
- 12.3. Start With a Reference Pipeline
- 12.4. Modify the Pipeline
- 12.5. External DICOM Sender and DICOM Receiver
- 12.6. Create the Pipeline
- 12.7. Configure the Clara DICOM Destination
- 12.8. Trigger Pipeline
- 12.9. Verify the Pipeline Execution in the Dashboard
- 12.10. Verify the External DICOM Receiver Received the Images
13. Bundled Services
- 13.1. Clara Results Service
- 13.2. Clara Dashboard Render Service
- 13.3. Clara Management Console
14. Connectivity With a PACS/DICOM Server
- 14.1. Configuring the DICOM Adapter to Receive Images
- 14.2. Configuring the DICOM Adapter to Send Images
- 14.3. Troubleshooting Connectivity
15. Clara Deploy GPU Profiler
- 15.1. Clara Deploy GPU Profiler
16. Clara CLI
- clara
- 16.2. Clara Deploy SDK Configuration
- 16.3. Getting Started
  - create model
    - 16.3.1.1. Usage
    - 16.3.1.2. Flags
  - list model
    - 16.3.2.1. Usage
    - 16.3.2.2. Flags
  - delete models
    - 16.3.3.1. Usage
    - 16.3.3.2. Arguments
  - create job
    - 16.3.4.1. Usage
    - 16.3.4.2. Flags
  - start job
    - 16.3.5.1. Usage
    - 16.3.5.2. Flags
  - create pipelines
    - 16.3.6.1. Usage
    - 16.3.6.2. Flags
  - list pipelines
    - 16.3.7.1. Usage
    - 16.3.7.2. Flags
  - describe pipeline
    - 16.3.8.1. Usage
    - 16.3.8.2. Flags
  - list jobs
    - 16.3.9.1. Usage
    - 16.3.9.2. Flags
  - cancel jobs
  - upload payload
    - 16.3.11.1. Usage
    - 16.3.11.2. Flags
  - delete payloads
    - 16.3.12.1. Usage
    - 16.3.12.2. Arguments
  - download
    - 16.3.13.1. Usage
    - 16.3.13.2. Arguments
  - describe job
    - 16.3.14.1. Usage
    - 16.3.14.2. Flags
  - config
    - 16.3.15.1. Usage
    - 16.3.15.2. Flags
  - logs
    - 16.3.16.1. Usage
    - 16.3.16.2. Flags
  - version
    - 16.3.17.1. Usage
- clara
- clara-render
  - start
    - 16.5.1.1. Usage
  - restart
    - 16.5.2.1. Usage
  - stop
    - 16.5.3.1. Usage
- clara-dicom
  - start
    - 16.6.1.1. Usage
  - 16.6.2. Flags
  - restart
    - 16.6.3.1. Usage
  - stop
    - 16.6.4.1. Usage
17. Load Generator
- 17.1. Pipeline Load Generator CLI (cpload)
  - 17.1.1. Requirement:
  - 17.1.2. Syntax:
18. Platform API
- 18.1. Clara Deploy SDK Platform API Overview
  - 18.1.1. Concepts
    - 18.1.1.1. Services
  - 18.1.2. Clara Service
  - 18.1.3. Jobs Service
  - 18.1.4. Models Service
  - 18.1.5. Payloads Service
  - 18.1.6. Pipelines Service
    - 18.1.6.1. Examples
  - 18.1.7. Create a New Pipeline
  - 18.1.8. Get a List of Existing Pipelines
  - 18.1.9. Create and Start a Job
  - 18.1.10. Get Status of a Job
  - 18.1.11. Get a File Listing from a Payload
  - 18.1.12. Download a File from a Payload
    - 18.1.12.1. Useful Links
  - 18.1.13. Introduction to GRPC and Protobuf
  - 18.1.14. GRPC Examples
- 18.2. GpuUtilization
  - 18.2.1. Properties
- 18.3. ProcessDetails
  - 18.3.1. Properties
    - 18.3.1.1. name
    - 18.3.1.2. job_id
- 18.4. Clara Stop RPC
- 18.5. ClaraStopRequest
  - 18.5.1. Properties
    - 18.5.1.1. header
- 18.6. ClaraStopResponse
  - 18.6.1. Properties
    - 18.6.1.1. header
- 18.7. Clara Stop RPC
- 18.8. ClaraUtilizationRequest
  - 18.8.1. Properties
    - 18.8.1.1. header
    - 18.8.1.2. watch
- 18.9. ClaraUtilizationResponse
  - 18.9.1. Properties
    - 18.9.1.1. header
    - 18.9.1.2. gpu_metrics
- 18.10. Clara Version RPC
- 18.11. ClaraVersionRequest
  - 18.11.1. Properties
    - 18.11.1.1. header
- 18.12. ClaraVersionResponse
  - 18.12.1. Properties
    - 18.12.1.1. header
    - 18.12.1.2. version
- 18.13. Pipelines Create RPC
  - 18.13.1. Types
- 18.14. PipelinesCreateRequest
  - 18.14.1. Properties
    - 18.14.1.1. header
    - 18.14.1.2. definition
  - 18.14.2. metadata
- 18.15. PipelinesCreateResponse
  - 18.15.1. Properties
    - 18.15.1.1. header
    - 18.15.1.2. pipeline_id
- 18.16. Pipelines Details RPC
  - 18.16.1. Messages
- 18.17. PipelinesDetailsRequest
  - 18.17.1. Properties
    - 18.17.1.1. header
    - 18.17.1.2. pipeline_id
- 18.18. PipelinesDetailsResponse
  - 18.18.1. Properties
- 18.19. Pipelines List RPC
  - 18.19.1. Messages
- 18.20. PipelinesListRequest
  - 18.20.1. Properties
    - 18.20.1.1. header
- 18.21. PipelinesListResponse
  - 18.21.1. Properties
    - 18.21.1.1. header
    - 18.21.1.2. details
- 18.22. PipelineDetails
  - 18.22.1. Properties
    - 18.22.1.1. pipeline_id
    - 18.22.1.2. name
- 18.23. Pipelines Remove RPC
- 18.24. PipelinesRemoveRequest
  - 18.24.1. Properties
    - 18.24.1.1. header
    - 18.24.1.2. pipeline_id
- 18.25. PipelinesRemoveResponse
  - 18.25.1. Properties
    - 18.25.1.1. header
- 18.26. Pipelines Update RPC
  - 18.26.1. Messages
- 18.27. PipelinesUpdateRequest
  - 18.27.1. Properties
- 18.28. PipelinesUpdateResponse
  - 18.28.1. Properties
    - 18.28.1.1. header
- 18.29. PipelineDefinitionFile
  - 18.29.1. Properties
    - 18.29.1.1. content
- 18.30. Jobs Cancel RPC
  - 18.30.1. Messages
- 18.31. JobsCancelRequest
  - 18.31.1. Properties
- 18.32. JobsCancelResponse
  - 18.32.1. Properties
- 18.33. Jobs Create RPC
  - 18.33.1. Messages
- 18.34. JobsCreateRequest
  - 18.34.1. Properties
- 18.35. JobsCreateResponse
  - 18.35.1. Properties
- 18.36. Jobs List RPC
  - 18.36.1. Messages
- 18.37. JobsListRequest
  - 18.37.1. Properties
    - 18.37.1.1. header
    - 18.37.1.2. filter
- 18.38. JobsListResponse
  - 18.38.1. Properties
    - 18.38.1.1. header
    - 18.38.1.2. job_details
- 18.39. Jobs ReadLogs RPC
  - 18.39.1. Messages
- 18.40. JobsReadLogsRequest
  - 18.40.1. Properties
- 18.41. JobsReadLogsResponse
  - 18.41.1. Properties
- 18.42. Jobs Start RPC
  - 18.42.1. Messages
- 18.43. JobsStartRequest
  - 18.43.1. Properties
    - 18.43.1.1. header
    - 18.43.1.2. job_id
      - 18.43.1.2.1. Variables
- 18.44. JobsStartResponse
  - 18.44.1. Properties
- 18.45. NamedValue
  - 18.45.1. Properties
    - 18.45.1.1. name
    - 18.45.1.2. value
- 18.46. Jobs Status RPC
  - 18.46.1. Messages
- 18.47. JobsStatusRequest
  - 18.47.1. Properties
    - 18.47.1.1. header
    - 18.47.1.2. job_id
- 18.48. JobsStatusResponse
  - 18.48.1. Properties
- 18.49. JobsDetails
  - 18.49.1. Properties
- 18.50. JobFilter
  - 18.50.1. Properties
- 18.51. JobOperatorDetails
  - 18.51.1. Properties
- 18.52. JobOperatorStatus
- 18.53. JobPriority
- 18.54. JobState
- 18.55. JobStatus
- 18.56. Payloads Create RPC
  - 18.56.1. Messages
- 18.57. PayloadsCreateRequest
  - 18.57.1. Properties
    - 18.57.1.1. header
  - 18.57.2. metadata
    - 18.57.2.1. PayloadsCreateResponse
  - 18.57.3. Properties
- 18.58. Payloads Details RPC
  - 18.58.1. Messages
- 18.59. PayloadsDetailsRequest
  - 18.59.1. Properties
    - 18.59.1.1. header
    - 18.59.1.2. payload_id
- 18.60. PayloadsDetailsResponse
  - 18.60.1. Properties
- 18.61. Payloads Download RPC
  - 18.61.1. Messages
- 18.62. PayloadsDownloadRequest
- 18.63. PayloadsDownloadResponse
  - 18.63.1. Properties
- 18.64. Payloads Create RPC
  - 18.64.1. Messages
- 18.65. PayloadsCreateRequest
  - 18.65.1. Properties
    - 18.65.1.1. header
    - 18.65.1.2. PayloadsCreateResponse
  - 18.65.2. Properties
- 18.66. Payloads Upload RPC
  - 18.66.1. Messages
- 18.67. PayloadsUploadRequest
  - 18.67.1. Properties
- 18.68. PayloadsUploadResponse
  - 18.68.1. Properties
    - 18.68.1.1. details
- 18.69. PayloadFileDetails Message
  - 18.69.1. Properties
    - 18.69.1.1. mode
    - 18.69.1.2. size
      - 18.69.1.2.1. name
- 18.70. PayloadType
- 18.71. RPC Error Codes
  - 18.71.1. Pipeline Service Errors
  - 18.71.2. Jobs Service Errors
  - 18.71.3. Payloads Service Errors
- 18.72. Identifier
  - 18.72.1. Properties
    - 18.72.1.1. value
- 18.73. RequestHeader
  - 18.73.1. Properties
    - 18.73.1.1. api_version
    - 18.73.1.2. user_agent
- 18.74. ResponseHeader
  - 18.74.1. Properties
    - 18.74.1.1. code
    - 18.74.1.2. messages
- 18.75. Timestamp
  - 18.75.1. Properties
    - 18.75.1.1. value
- 18.76. Version
  - 18.76.1. Properties
19. Third Party Tools
- 19.1. Orthanc
  - 19.1.1. Overview
  - 19.1.2. How to Install
- 19.2. DCM4CHE
  - 19.2.1. Overview
  - 19.2.2. How to Install
- 19.3. 3D Slicer
  - 19.3.1. Overview
  - 19.3.2. How to Install
- 19.4. OHIF Viewer
  - 19.4.1. Overview
  - 19.4.2. How to Install
- 19.5. Oviyam
  - 19.5.1. Overview
  - 19.5.2. How to Install
- 19.6. Horos
  - 19.6.1. Overview
  - 19.6.2. How to Install
20. Release Notes
- 20.1. Version 0.7.4 (R7)
- 20.2. Version 0.7.3 (R7)
- 20.3. Version 0.7.2 (R7)
- 20.4. Version 0.7.1 (R7)
- 20.5. Version 0.6.1 (R6)
- 20.6. Version 0.6.0 (R6)
- 20.7. Version 0.5.0 (R5)
- 20.8. Version 0.4.1 (hotfix)
- 20.9. Version 0.4.0 (R4)
  - 20.9.1. Introduction
  - 20.9.2. What’s New
- 20.10. Version 0.2.0 (R2)
- 20.11. Version 0.1.7 (Deprecated)
- 20.12. Version 0.1.6 (Deprecated)
- 20.13. Pre-alpha (Deprecated)
- 20.14. Known Issues
- 20.15. Support
21. License
- 21.1. Third-Party Licenses

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