Ango Hub Docs
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  • Ango Hub Documentation
  • Video Guides
  • Changelog
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  • All Keyboard and Mouse Shortcuts
  • Core Concepts
    • Assets
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    • Category Schema (Ontologies)
    • Frame Interpolation
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    • Idle Time Detection & Time Tracking
    • Instructions
    • Issues
      • Issue Error Codes
    • Label Validation
    • Labeler Performance
    • Labeling
    • Labeling Queue
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  • Labeling
    • Managing Users in Projects
      • Profile Page
    • Managing the Project Ontology
    • Labeling Editor Interface
      • Audio Labeling Editor
      • Image Labeling Editor
      • Video Labeling Editor
      • DICOM Labeling Editor
      • Medical Labeling Editor
        • 3D Bounding Box
        • Fill Between Slices
        • Island Tools
        • Line (Tape Measure)
        • Smoothing
      • PDF Labeling Editor
      • Text (NER) Labeling Editor
      • LLM Chat Labeling Editor
      • Markdown Labeling Editor
      • 3D Multi-Sensor Fusion Labeling Editor
    • Labeling Classes
      • Tools
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      • Relation
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        • Group Relation
    • Magnetic Lasso
    • Performance & Compatibility Considerations
  • Data
    • Data in Ango Hub
      • Embedding Private Bucket Files in MD Assets
    • Importing Assets
      • Asset Builder
      • Bundled Assets
        • Importing Multiple Images as One Multi-Page Asset
        • Importing Multiple Single-Frame DICOM Files as One Multi-Page Asset
        • Importing multiple DICOM files to be annotated and displayed at once
        • Importing Multiple Single-Frame DICOM Files as a DICOM Series
        • Importing Multiple Markdown Files as One Multi-Page Asset
      • File Explorer
      • Supported Asset File Types & Codecs
      • Importing Cloud (Remote) Assets
      • Importing From Local Machine
      • Creating and Importing LLM Chat Assets
      • Importing Data in the 3D Multi-Sensor Fusion Labeling Tool
      • Bulk Importing Markdown/HTML Assets
      • Importing Attachments during Asset Import
      • Importing Annotations during Asset Import
      • contextData: Adding Extra Data to Assets
      • Importing Reference Images as Overlay
      • Importing Reference Medical Data During Asset Import
    • Importing and Exporting Annotations
      • Importing Annotations
        • Ango Import Format
        • Importing Brush Traces
        • Importing NRRD Annotations
      • Exporting Annotations
        • Ango Export Format
          • Asset
            • Task
              • Tools
              • Classifications
              • Relations
          • Stage History
    • Adding and Managing LLMs
    • Storages
      • Set up a storage integration with Azure
      • Set up a storage integration with AWS S3
      • Set up a storage integration with MinIO and S3-compatible custom storage services
      • Set up a storage integration with GCP (Google Cloud Platform)
      • Set up CORS
      • Validating Storage Integrations
    • Purging Data from Ango Hub
  • Plugins
    • Overview of Plugins in Ango Hub
      • Installing Plugins
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      • Monitoring Plugin Progress
    • First-Party Plugins
      • Ango Export Converter Plugins
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      • Ango to Mask Converter
      • Batch Assignment
      • ChatGPT
      • Column-Agnostic Markdown Generator
      • CSV Export for Classification
      • DALL-E
      • DALL-E (Model Plugin)
      • File Explorer Plugin
      • General Object Detector
      • General Object Segmenter
      • Markdown Generator
      • One-Click Segmentation
      • Open World Object Detection
      • Optical Character Recognition
      • TPT Export
      • YOLO | Instance Segmentation
      • YOLO | Pose Estimation
      • YOLO | Object Detection
      • YOLO | Image Classification
    • Plugin Developer Documentation
      • Export Plugins
      • Batch Model Plugins
      • Model Plugins
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      • Markdown Generator Plugins
      • Plugin Logger
      • [WIP] Deploying your Plugin
      • Plugin 'Host' Information
  • SDK
    • SDK Documentation
      • Project Level SDK Functions
        • add_members_to_project
        • assign_batches
        • assign_task
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        • create_project
        • delete_issue
        • export
        • exportV3
        • get_assets
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        • get_issues
        • get_metrics
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        • get_project_performance
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        • get_tasks
        • get_task_history
        • import_labels
        • list_projects
        • requeue_tasks
        • rerun_webhook
        • update_workflow_stages
        • upload_files
        • upload_files_cloud
        • upload_files_with_asset_builder
        • upload_chat_assets
      • Organization Level SDK Functions
        • create_storage
        • delete_organization_invites
        • delete_organization_members
        • delete_storage
        • get_organization_invites
        • get_organization_members
        • get_storages
        • invite_members_to_org
        • update_organization_members_role
    • SDK - Useful Snippets
    • SDK Changelog
  • API
    • API Documentation
  • How-To
    • Add Members
      • Add multiple users to a project
    • Annotate
      • Annotate 3D Point Cloud Files on Ango Hub
      • Perform targeted OCR on images
    • Export Data
      • Automatically send Ango Hub Webhook contents to Google Sheets, Email, Slack, and more with Zapier
      • Download a JSON of your project ontology
      • Download DICOM Segmentation Masks
      • Download your annotations in the COCO, KITTI, or YOLO format
      • Download your Segmentation Masks
      • Get your export as separate JSON files for each asset
    • Manage a Project
      • Get your API Key
      • Get your Organization ID
      • Mute your notifications
      • Open an asset provided the Asset ID
      • Pre-label assets
      • Share a filtered view of the Tasks table with others
      • Transfer project ontologies between projects
      • Transfer project workflows between projects
    • Perform Model Evaluation on Ango Hub
  • Troubleshooting
    • I get a "0 Tasks Labeled" alert when trying to pre-label tasks
    • I get a 'The data couldn't be loaded properly' error when opening certain assets
    • I get a "Unknown Classification" warning when opening a task
  • Feature Availability Status for projects of the 3D Multi-Sensor Fusion type
  • Comparison between QuickServe and Ango Hub
  • Changes from Ango Hub Legacy
  • Video V2 Breaking Changes and Transition
  • Data Access, Storage, and Security
  • Two-Factor Authentication
  • Single Sign-On (SSO) Support
  • Customer Support
  • Ango Hub Status Page
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On this page
  • Deployment Example
  • Plugin Prerequisites
  • Deploying to Google Cloud Run
  • Google Cloud Platform Prerequisites
  • Steps
  • Deploying to AWS App Runner
  • AWS Prerequisites
  • Steps
  1. Plugins
  2. Plugin Developer Documentation

[WIP] Deploying your Plugin

PreviousPlugin LoggerNextPlugin 'Host' Information

Last updated 1 year ago

This page is not yet complete, and it only contains a general outline of the deployment process. Thank you for your patience as the page is expanded with more details.

This page details the recommended way to deploy your Ango Hub Plugin to the cloud.

Deployment Example

For an example deployment, see . It contains everything you need to know to get started:

Plugin Prerequisites

Your plugin's Connector field must be set to REST.

Deploying to Google Cloud Run

Google Cloud Platform Prerequisites

  • Enable the Cloud Run API and the Artifact Registry API on GCP.

  • Configure Workload Identity Federation for GitHub.

  • Grant the following IAM permissions:

    • Cloud Run Admin

    • IAM Service Account User

    • Artifact Registry Admin

  • Ensure you have this env variable set this way:

CONNECTOR=REST

Steps

1. Configure GitHub Actions

2. Triggering Deployment

Whenever you push changes to the main branch, deployment is triggered.

Deploying to AWS App Runner

AWS Prerequisites

  • Ensure IAM roles are configured for GitHub Actions

  • Create an Amazon ECR repository named ango-plugins

  • Set the necessary AWS permissions. This can be done by following the actions specified in these two pages:

Steps

  • As with GCP, deployment to AWS App Runner is triggered by pushing changes to the main branch or manually via GitHub Actions.

Once you have created your repository containing the plugin files, (.github/workflows/cloudrun-docket.yml) automates the deployment to Google Cloud Run. Replace PROJECT_ID, REPOSITORY, and REGION with your GCP project details.

The sample file is a reference on how to set up your variables – please consult it and create your cloudrun-docket.yml file accordingly.

The .github/workflows/deploy-aws-apprunner.yml file in the automates the deployment to AWS App Runner. Ensure you replace AWS_REGION, ECR_REPOSITORY, and SERVICE with your own AWS details.

this file
cloudrun-docker.yml
https://aws.amazon.com/blogs/security/use-iam-roles-to-connect-github-actions-to-actions-in-aws/
https://aws.amazon.com/blogs/containers/deploy-applications-in-aws-app-runner-with-github-actions/
sample repo
this GitHub repository