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Table of Contents

  • Command Line Interface
    • Positional Arguments
    • Named Arguments
    • Sub-commands:
      • shell
      • upgrade
        • optional named arguments
      • logout
      • login
      • login-token
        • required named arguments
      • login-secret
        • required named arguments
      • login-m2m
        • required named arguments
      • init
      • checkout-state
      • help
      • version
      • api
        • Positional Arguments
        • Sub-commands:
      • development
        • Positional Arguments
        • Sub-commands:
      • projects
        • Positional Arguments
        • Sub-commands:
      • datasets
        • Positional Arguments
        • Sub-commands:
      • items
        • Positional Arguments
        • Sub-commands:
      • videos
        • Positional Arguments
        • Sub-commands:
      • app
        • Positional Arguments
        • Sub-commands:
      • services
        • Positional Arguments
        • Sub-commands:
      • triggers
        • Positional Arguments
        • Sub-commands:
      • deploy
        • required named arguments
      • generate
        • optional named arguments
      • packages
        • Positional Arguments
        • Sub-commands:
      • ls
      • pwd
      • cd
        • Positional Arguments
      • mkdir
        • Positional Arguments
      • clear
      • exit
  • Repositories
    • Organizations
      • Organizations
        • Organizations.add_member()
        • Organizations.cache_action()
        • Organizations.delete_member()
        • Organizations.get()
        • Organizations.list()
        • Organizations.list_groups()
        • Organizations.list_integrations()
        • Organizations.list_members()
        • Organizations.update()
        • Organizations.update_member()
      • Integrations
        • Integrations
    • Projects
      • Projects
        • Projects.add_member()
        • Projects.checkout()
        • Projects.create()
        • Projects.delete()
        • Projects.get()
        • Projects.list()
        • Projects.list_members()
        • Projects.open_in_web()
        • Projects.remove_member()
        • Projects.update()
        • Projects.update_member()
    • Datasets
      • Datasets
        • Datasets.checkout()
        • Datasets.clone()
        • Datasets.create()
        • Datasets.delete()
        • Datasets.directory_tree()
        • Datasets.download_annotations()
        • Datasets.get()
        • Datasets.list()
        • Datasets.merge()
        • Datasets.open_in_web()
        • Datasets.set_readonly()
        • Datasets.sync()
        • Datasets.update()
        • Datasets.upload_annotations()
      • Drivers
        • Drivers
    • Items
      • Items
        • Items.clone()
        • Items.delete()
        • Items.download()
        • Items.get()
        • Items.get_all_items()
        • Items.list()
        • Items.make_dir()
        • Items.move_items()
        • Items.open_in_web()
        • Items.set_items_entity()
        • Items.update()
        • Items.update_status()
        • Items.upload()
    • Annotations
      • Annotations
        • Annotations.builder()
        • Annotations.delete()
        • Annotations.download()
        • Annotations.get()
        • Annotations.list()
        • Annotations.show()
        • Annotations.update()
        • Annotations.update_status()
        • Annotations.upload()
    • Recipes
      • Recipes
        • Recipes.clone()
        • Recipes.create()
        • Recipes.delete()
        • Recipes.get()
        • Recipes.list()
        • Recipes.open_in_web()
        • Recipes.update()
      • Ontologies
        • Ontologies
    • Tasks
      • Tasks
        • Tasks.add_items()
        • Tasks.create()
        • Tasks.create_qa_task()
        • Tasks.delete()
        • Tasks.get()
        • Tasks.get_items()
        • Tasks.list()
        • Tasks.open_in_web()
        • Tasks.query()
        • Tasks.remove_items()
        • Tasks.set_status()
        • Tasks.update()
      • Assignments
        • Assignments
    • Packages
      • LocalServiceRunner
        • LocalServiceRunner.get_field()
        • LocalServiceRunner.get_mainpy_run_service()
        • LocalServiceRunner.run_local_project()
      • Packages
        • Packages.build()
        • Packages.build_requirements()
        • Packages.build_trigger_dict()
        • Packages.check_cls_arguments()
        • Packages.checkout()
        • Packages.delete()
        • Packages.deploy()
        • Packages.deploy_from_file()
        • Packages.generate()
        • Packages.get()
        • Packages.list()
        • Packages.open_in_web()
        • Packages.pull()
        • Packages.push()
        • Packages.revisions()
        • Packages.test_local_package()
        • Packages.update()
      • Codebases
        • Codebases
    • Services
      • ServiceLog
        • ServiceLog.view()
      • Services
        • Services.activate_slots()
        • Services.checkout()
        • Services.delete()
        • Services.deploy()
        • Services.deploy_from_local_folder()
        • Services.execute()
        • Services.get()
        • Services.list()
        • Services.log()
        • Services.name_validation()
        • Services.open_in_web()
        • Services.pause()
        • Services.resume()
        • Services.revisions()
        • Services.status()
        • Services.update()
      • Bots
        • Bots
    • Triggers
      • Triggers
        • Triggers.create()
        • Triggers.delete()
        • Triggers.get()
        • Triggers.list()
        • Triggers.name_validation()
        • Triggers.resource_information()
        • Triggers.update()
    • Executions
      • Executions
        • Executions.create()
        • Executions.create_batch()
        • Executions.get()
        • Executions.increment()
        • Executions.list()
        • Executions.logs()
        • Executions.progress_update()
        • Executions.rerun()
        • Executions.terminate()
        • Executions.update()
        • Executions.wait()
    • Models
      • Models
        • Models.clone()
        • Models.create()
        • Models.delete()
        • Models.deploy()
        • Models.evaluate()
        • Models.get()
        • Models.list()
        • Models.open_in_web()
        • Models.predict()
        • Models.train()
        • Models.update()
    • Pipelines
      • Pipelines
        • Pipelines.create()
        • Pipelines.delete()
        • Pipelines.execute()
        • Pipelines.get()
        • Pipelines.install()
        • Pipelines.list()
        • Pipelines.open_in_web()
        • Pipelines.pause()
        • Pipelines.reset()
        • Pipelines.stats()
        • Pipelines.update()
        • Pipelines.update_settings()
      • Pipeline Executions
        • PipelineExecutions
    • General Commands
      • Commands
        • Commands.abort()
        • Commands.get()
        • Commands.list()
        • Commands.wait()
      • Download Commands
      • Upload Commands
  • Entities
    • Organization
      • CacheAction
      • MemberOrgRole
      • Organization
        • Organization.add_member()
        • Organization.cache_action()
        • Organization.delete_member()
        • Organization.from_json()
        • Organization.list_groups()
        • Organization.list_members()
        • Organization.open_in_web()
        • Organization.to_json()
        • Organization.update()
        • Organization.update_member()
      • OrganizationsPlans
      • PodType
      • Integration
        • Integration
        • IntegrationType
    • Project
      • MemberRole
      • Project
        • Project.add_member()
        • Project.checkout()
        • Project.delete()
        • Project.from_json()
        • Project.list_members()
        • Project.open_in_web()
        • Project.remove_member()
        • Project.to_json()
        • Project.update()
        • Project.update_member()
      • User
        • User
    • Dataset
      • Dataset
        • Dataset.add_label()
        • Dataset.add_labels()
        • Dataset.checkout()
        • Dataset.clone()
        • Dataset.delete()
        • Dataset.delete_attributes()
        • Dataset.delete_labels()
        • Dataset.download()
        • Dataset.download_annotations()
        • Dataset.download_folder()
        • Dataset.from_json()
        • Dataset.get_recipe_ids()
        • Dataset.open_in_web()
        • Dataset.serialize_labels()
        • Dataset.set_readonly()
        • Dataset.switch_recipe()
        • Dataset.sync()
        • Dataset.to_json()
        • Dataset.update()
        • Dataset.update_attributes()
        • Dataset.update_label()
        • Dataset.update_labels()
        • Dataset.upload_annotations()
      • ExpirationOptions
      • IndexDriver
      • Driver
        • AzureBlobDriver
        • Driver
        • ExternalStorage
        • GcsDriver
        • S3Driver
    • Item
      • ExportMetadata
      • Item
        • Item.clone()
        • Item.delete()
        • Item.download()
        • Item.from_json()
        • Item.move()
        • Item.open_in_web()
        • Item.set_description()
        • Item.to_json()
        • Item.update()
        • Item.update_status()
      • ItemStatus
      • ModalityRefTypeEnum
      • ModalityTypeEnum
      • Item Link
        • LinkTypeEnum
    • Annotation
      • Annotation
        • Annotation.add_frame()
        • Annotation.add_frames()
        • Annotation.delete()
        • Annotation.download()
        • Annotation.from_json()
        • Annotation.new()
        • Annotation.set_frame()
        • Annotation.show()
        • Annotation.to_json()
        • Annotation.update()
        • Annotation.update_status()
        • Annotation.upload()
      • AnnotationStatus
      • AnnotationType
      • ExportVersion
      • FrameAnnotation
        • FrameAnnotation.from_snapshot()
        • FrameAnnotation.new()
        • FrameAnnotation.show()
      • ViewAnnotationOptions
      • Collection of Annotation entities
        • AnnotationCollection
      • Annotation Definition
        • Box Annotation Definition
        • Classification Annotation Definition
        • Cuboid Annotation Definition
        • Item Description Definition
        • Ellipse Annotation Definition
        • Note Annotation Definition
        • Point Annotation Definition
        • Polygon Annotation Definition
        • Polyline Annotation Definition
        • Pose Annotation Definition
        • Segmentation Annotation Definition
        • Audio Annotation Definition
        • Undefined Annotation Definition
      • Similarity
    • Filter
      • Filters
        • Filters.add()
        • Filters.add_join()
        • Filters.generate_url_query_params()
        • Filters.has_field()
        • Filters.open_in_web()
        • Filters.platform_url()
        • Filters.pop()
        • Filters.pop_join()
        • Filters.prepare()
        • Filters.sort_by()
      • FiltersKnownFields
      • FiltersMethod
      • FiltersOperations
      • FiltersOrderByDirection
      • FiltersResource
    • Recipe
      • Recipe
        • Recipe.add_instruction()
        • Recipe.clone()
        • Recipe.delete()
        • Recipe.from_json()
        • Recipe.get_annotation_template_id()
        • Recipe.open_in_web()
        • Recipe.to_json()
        • Recipe.update()
      • Ontology
        • Ontology
        • Label
    • Task
      • ConsensusTaskType
      • Task
        • Task.add_items()
        • Task.create_assignment()
        • Task.create_qa_task()
        • Task.delete()
        • Task.from_json()
        • Task.get_items()
        • Task.open_in_web()
        • Task.remove_items()
        • Task.set_status()
        • Task.to_json()
        • Task.update()
      • TaskPriority
      • Assignment
        • Assignment
        • Workload
        • WorkloadUnit
    • Package
      • Package
        • Package.build()
        • Package.checkout()
        • Package.delete()
        • Package.deploy()
        • Package.from_json()
        • Package.get_ml_metadata()
        • Package.open_in_web()
        • Package.pull()
        • Package.push()
        • Package.test()
        • Package.to_json()
        • Package.update()
      • RequirementOperator
      • Package Function
        • PackageFunction
        • PackageInputType
      • Package Module
        • PackageModule
      • Slot
        • PackageSlot
        • SlotDisplayScopeResource
        • SlotPostActionType
        • UiBindingPanel
      • Codebase
        • Codebase()
    • Service
      • InstanceCatalog
      • KubernetesAutuscalerType
      • OnResetAction
      • RuntimeType
      • Service
        • Service.activate_slots()
        • Service.checkout()
        • Service.delete()
        • Service.execute()
        • Service.execute_batch()
        • Service.from_json()
        • Service.log()
        • Service.open_in_web()
        • Service.pause()
        • Service.resume()
        • Service.status()
        • Service.to_json()
        • Service.update()
      • ServiceModeType
      • ServiceType
      • Bot
        • Bot
    • Trigger
      • BaseTrigger
        • BaseTrigger.delete()
        • BaseTrigger.from_json()
        • BaseTrigger.to_json()
        • BaseTrigger.update()
      • CronTrigger
        • CronTrigger.from_json()
        • CronTrigger.to_json()
      • Trigger
        • Trigger.from_json()
        • Trigger.to_json()
      • TriggerAction
      • TriggerExecutionMode
      • TriggerResource
      • TriggerType
    • Execution
      • Execution
        • Execution.from_json()
        • Execution.increment()
        • Execution.logs()
        • Execution.progress_update()
        • Execution.rerun()
        • Execution.terminate()
        • Execution.to_json()
        • Execution.update()
        • Execution.wait()
      • ExecutionStatus
    • Model
      • DatasetSubsetType
      • Model
        • Model.clone()
        • Model.delete()
        • Model.deploy()
        • Model.evaluate()
        • Model.from_json()
        • Model.log()
        • Model.open_in_web()
        • Model.predict()
        • Model.to_json()
        • Model.train()
        • Model.update()
    • Pipeline
      • CompositionStatus
      • Pipeline
        • Pipeline.delete()
        • Pipeline.execute()
        • Pipeline.execute_batch()
        • Pipeline.from_json()
        • Pipeline.install()
        • Pipeline.open_in_web()
        • Pipeline.pause()
        • Pipeline.reset()
        • Pipeline.set_start_node()
        • Pipeline.stats()
        • Pipeline.to_json()
        • Pipeline.update()
      • PipelineResumeOption
      • Variable
        • Variable.from_json()
        • Variable.to_json()
      • Pipeline Execution
        • CycleRerunMethod
        • PipelineExecution
    • Other
      • Pages
        • PagedEntities
      • Base Entity
        • DlList
        • EntityScopeLevel
      • Command
        • Command
        • CommandsStatus
      • Directory Tree
        • DirectoryTree
        • SingleDirectory
  • Utilities
    • converter
      • Converter
        • Converter.attach_agent_progress()
        • Converter.convert()
        • Converter.convert_dataset()
        • Converter.convert_directory()
        • Converter.convert_file()
        • Converter.custom_format()
        • Converter.from_coco()
        • Converter.from_voc()
        • Converter.from_yolo()
        • Converter.save_to_file()
        • Converter.to_coco()
        • Converter.to_voc()
        • Converter.to_yolo()
        • Converter.upload_local_dataset()
  • Tutorials
    • Getting Started With Dataloop SDK
      • 1. Dataloop SDK Overview
        • 1.1. About this guide
        • 1.2. Installing Prerequisite Software
        • 1.3. SDK Login
        • 1.4. Machine-to-Machine Login
        • 1.5. Datasets
        • 1.6. Creating a New Dataset
        • 1.7. Uploading items
        • 1.8. Getting Items
        • 1.9. Annotating Items
        • 1.10. Point Markers
        • 1.11. Working with Filters
        • 1.12. Using Filters to Replace Data
        • 1.13. Working with Item Metadata
        • 1.14. Creating Tasks
        • 1.15. Logging out
    • Data Management Tutorial
      • 1. Integrations
      • 2. Dataset Binding with AWS
        • 2.1. Create the Lambda
        • 2.2. Add a Layer to the Lambda
        • 2.3. Create the Bucket Events
      • 3. Dataset Manual item upstream sync
      • 4. Integrations
        • 4.1. Amazon Web Services integration
        • 4.2. Create AWS Access-Key integration
        • 4.3. Create AWS Cross Account integration
      • 5. Storage Drivers
        • 5.1. External Storage Driver
        • 5.2. Create Drivers in the Platform (browser)
      • 6. Dataset Binding with Azure
        • 6.1. Create the Blob Function
        • 6.2. Deploy your function
      • 7. Integrations
        • 7.1. Microsoft Azure integration
        • 7.2. Create integration With Microsoft Azure
      • 8. Storage Drivers
        • 8.1. External Storage Driver
        • 8.2. Create Drivers in the Platform (browser)
      • 9. Dataset Binding with Google Cloud Storage
        • 9.1. Create the Cloud Function
        • 9.2. You’re good to go!
      • 10. Integrations
        • 10.1. GCP integration
        • 10.2. Create integration With Google Cloud Provider
      • 11. Storage Drivers
        • 11.1. External Storage Driver
        • 11.2. Create Drivers in the Platform (browser)
      • 12. Manage Datasets
        • 12.1. Create Dataset
        • 12.2. Create Dataset With Cloud Storage Driver
        • 12.3. Retrieve Datasets
        • 12.4. Create Directory
        • 12.5. Deep Copy a Folder to Another Dataset
      • 13. Data Versioning
        • 13.1. Clone Datasets
        • 13.2. Merge Datasets
      • 14. Upload & Manage Data & Metadata
        • 14.1. Upload Specific Files
        • 14.2. Upload All Files in a Folder
        • 14.3. Upload Items From URL Links
        • 14.4. Upload Items with Metadata
      • 15. Upload & Manage Annotations
        • 15.1. Upload User Metadata
        • 15.2. Upload with Task and Recipe Context
        • 15.3. Convert Annotations To COCO Format
        • 15.4. Upload Entire Directory and their Corresponding Dataloop JSON Annotations
        • 15.5. Upload Annotations To Video Item
        • 15.6. Upload Annotations In VTT Format
        • 15.7. Upload Audio Annotation to an Audio File
        • 15.8. Set Attributes On Annotations
        • 15.9. Show Annotations Over Image
      • 16. Download Data, Annotations & Metadata
        • 16.1. Download Items and Annotations
        • 16.2. Filter by Item and/or Annotation
        • 16.3. Filter by Annotations
        • 16.4. Download Annotations in COCO/YOLO/VOC Format
      • 17. Advance SDK Filters
        • 17.1. Filter Operators
        • 17.2. SDK defaults
        • 17.3. Delete a Filter
        • 17.4. Full Examples
      • 18. The Dataloop Query Language - DQL
        • 18.1. Filters
        • 18.2. Filter Annotations
        • 18.3. Filter Annotations by the Annotations’ Item
        • 18.4. Filters Method - “Or” and “And”
        • 18.5. Delete Filtered Items
        • 18.6. Annotation Filtering Fields
        • 18.7. Full Examples
        • 18.8. Advanced Filtering Operators
      • 19. The Dataloop Query Language - DQL
        • 19.1. Filters
        • 19.2. Filter Items
        • 19.3. Filter Items by the Items’ Annotations
        • 19.4. Filters Method - “Or” and “And”
        • 19.5. Update User Metadata of Filtered Items
        • 19.6. Delete Filtered Items
        • 19.7. Item Filtering Fields
        • 19.8. Full Examples
        • 19.9. Advanced Filtering Operators
        • 19.10. Response to DQL Query
        • 19.11. Using Custom DQL Filter
      • 20. Pagination
        • 20.1. Pages
        • 20.2. Iterator of Items
        • 20.3. Set page_size
      • 21. Working with Metadata
        • 21.1. User Metadata
    • FaaS Tutorial
      • 1. Concept
        • 1.1. Use Cases
      • 2. Introduction
      • 3. Basic Use Case: Single Function
        • 3.1. Create and Deploy a Sample Function
        • 3.2. Execute the function
      • 4. Multiple Functions and Modules
        • 4.1. Multiple Functions
        • 4.2. Multiple Modules
      • 5. Advance Configurations
        • 5.1. Service Runtime
        • 5.2. Autoscaler
        • 5.3. Using Secrets in a Function
      • 6. UI Toolbars
        • 6.1. Overview
        • 6.2. Define a UI slot in the platform
        • 6.3. Example
        • 6.4. Update the Package and Service with the Slot
        • 6.5. Activate the UI slot
      • 7. Executions Control
        • 7.1. Execution Termination
        • 7.2. Execution Timeout
        • 7.3. Monitoring Execution Completion
      • 8. FaaS Docker Image
        • 8.1. Our Docker Image
        • 8.2. Public Docker Images
        • 8.3. Build Your Own Docker Image
        • 8.4. Using Private Docker Registry
      • 9. Example: Model Annotations Service
        • 9.1. Service Code
        • 9.2. Define the module
        • 9.3. Model and weights files
        • 9.4. Push the Package
        • 9.5. Deploy The Service
        • 9.6. Trigger the Service
        • 9.7. Uploading Model Weights as Artifacts
    • Pipelines
      • 1. Pipeline Tutorial
    • Task Workflows
      • 1. Creating Tasks
        • 1.1. Create A Task (Annotation task or QA task) Using Filter
        • 1.2. List of Items
        • 1.3. Entire Dataset
      • 2. Create a Pulling Task
      • 3. Add items to an existing task
        • 3.1. By Filters
        • 3.2. Single or a List of Items
        • 3.3. Creating Consensus Tasks
        • 3.4. Creating Pipeline Tasks Node
      • 4. Managing Tasks & Assignments
        • 4.1. Get Task
        • 4.2. Get Assignments
      • 5. Redistribute and Reassign Assignments
        • 5.1. Redistribute
    • Image Annotations
      • 1. Setup
        • 1.1. Initiation
        • 1.2. Optional Plotting
      • 2. Classification Point and Pose
        • 2.1. Classification
        • 2.2. Classify Multiple Items
        • 2.3. Create a Point Annotation
        • 2.4. Pose Annotation
      • 3. Bounding Box and Cuboid
        • 3.1. Create Box Annotation
        • 3.2. Create a Rotated Bounding Box Annotation
        • 3.3. Convert Semantic Segmentation to Bounding Box
        • 3.4. Create Cuboid (3D Box) Annotation
      • 4. Polygon and Polyline
        • 4.1. Create Single Polygon/Polyline Annotation
        • 4.2. Create Multiple Polygons from Mask
        • 4.3. Convert Mask Annotations to Polygon
        • 4.4. Convert Polygon Annotation to Mask
      • 5. Ellipse and Item Description
        • 5.1. Create Ellipse Annotation
        • 5.2. Item Description
      • 6. Segmentation
        • 6.1. Init Segmentation
        • 6.2. Create a Semantic Segmentation Annotation
        • 6.3. Convert Mask to Polygon
        • 6.4. Convert Polygon to Mask
        • 6.5. Create Semantic Segmentation from Image Mask and Upload
      • 7. Advance Tutorials
        • 7.1. Copy Annotations Between Items
        • 7.2. Show Images & Annotations
        • 7.3. Show Annotations from JSON file (Dataloop format)
        • 7.4. Count total number of annotations
        • 7.5. Parenting Annotations
        • 7.6. Change Annotations’ Label
    • Video Annotations
      • 1. Setup
      • 2. Create A Single annotation
      • 3. Adding Multiple Annotations Using Annotation Builder
      • 4. Read Frames of an Annotation
      • 5. Create Frame Snapshots from Video
      • 6. Play An Item In Video Player
      • 7. Show Annotations in a Specified Frame
    • Recipe and Ontology
      • 1. Recipe and Ontology Concepts
      • 2. Preparing - Entities setup
      • 3. Create an Ontology
      • 4. Labels
      • 5. Attributes
      • 6. Add attributes to the ontology
      • 7. Read Ontology Attributes
      • 8. Getting all labels is (including children):
      • 9. Working With Recipes
      • 10. Cloning Recipes
      • 11. View Dataset Labels
      • 12. Add Labels by Dataset
      • 13. Add Labels Using Label Object
      • 14. Add a Label and Sub-Labels
      • 15. Add Hierarchy Labels with Nested
      • 16. Delete Labels by Dataset
      • 17. Update Label Features
    • Model Management
      • 1. Model Management
        • 1.1. Quick overview
        • 1.2. Introduction
      • 2. Models from the AI Library
        • 2.1. Predicting
        • 2.2. Finetune on a custom dataset
      • 3. Create your own model
        • 3.1. Create a model adapter
        • 3.2. Push the package
        • 3.3. Create the model and upload artifacts
      • 4. Checking that your model works
        • 4.1. Via the UI
        • 4.2. Via the SDK
      • 5. Logging metrics in Dataloop
        • 5.1. Create Dataloop Entities
        • 5.2. List Metrics
      • 6. Training a classification model with ResNet
        • 6.1. Clone the Public Model Into Your Project
        • 6.2. Train on new dataset
        • 6.3. Start the training
        • 6.4. Save the Model
        • 6.5. Predict on our newly trained model
      • 7. Training an Object Detection Model with YOLOv8
        • 7.1. Create a Project and a Dataset
        • 7.2. Clone the Public Model Into Your Project
        • 7.3. Train on Your Dataset
        • 7.4. Start the Training
        • 7.5. Predict Your Newly Trained Model
      • 8. Dataloop Dataset Generator
        • 8.1. Object detection examples
        • 8.2. Segmentation examples
        • 8.3. Setting a label map
        • 8.4. Batch size and batch_size and collate_fn
    • Applications
      • 1. Introduction
        • 1.1. What are Dataloop Applications?
        • 1.2. Typical Workflow
      • 2. Creating a Python App
        • 2.1. Pre-launch Script
      • 3. UI Toolbars
        • 3.1. When are we going to need toolbars?
        • 3.2. The current available toolbar locations in the platform
        • 3.3. Toolbar Structure in a DPK/App entity
        • 3.4. Toolbar Examples in a DPK/App entity
      • 4. Custom Pipeline Nodes
        • 4.1. Description
        • 4.2. Tutorial and How-To
      • 5. Vue.js based Single Page Application
        • 5.1. Tl;dr
        • 5.2. Too Short; Want More?
        • 5.3. Debug App in the Dataloop Platform
        • 5.4. Item Viewer Example
      • 6. Dataloop JSON Examples
        • 6.1. Floating Window
        • 6.2. Item Viewer
        • 6.3. Pipeline Node
        • 6.4. Toolbars
      • 7. Frequently Asked Questions
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