v1.64.9
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:
projects
Positional Arguments
Sub-commands:
datasets
Positional Arguments
Sub-commands:
items
Positional Arguments
Sub-commands:
videos
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
Integrations
Projects
Datasets
Drivers
Items
Annotations
Recipes
Ontologies
Tasks
Assignments
Packages
Codebases
Services
Bots
Triggers
Executions
Pipelines
Pipeline Executions
General Commands
Download Commands
Upload Commands
Entities
Organization
Integration
Project
User
Dataset
Driver
Item
Item Link
Annotation
Collection of Annotation entities
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
Recipe
Ontology
Label
Task
Assignment
Package
Package Function
Package Module
Slot
Codebase
Service
Bot
Trigger
Execution
Pipeline
Pipeline Execution
Other
Pages
Base Entity
Command
Directory Tree
Utilities
converter
Tutorials
Getting Started With Dataloop SDK
1. Overview
1.1. About Dataloop
1.2. Data Management
1.3. Recipe & Ontology
1.4. Annotation @ QA Workflow
1.5. Annotations - Upload & Download (Export)
1.6. Automation - Services (FaaS)
1.7. Automation - Pipelines
2. Working with Dataloop SDK
3. Getting Started
3.1. Installations and environment creation:
3.2. Login
3.3. M2M Login
3.4. Log In Via SDK with M2M :
3.5. Create & Get a Project
3.6. Create & Get a Dataset
3.7. Upload items
3.8. Get Item / items-list
3.9. Filters includes join and all operations
3.10. Add metadata to the item
3.11. Upload annotations (with Dataloop Builder)
3.12. Upload segmentation annotation
3.13. Get annotations + list (pages)
3.14. Annotation update includes metadata
3.15. load annotations from JSON file
3.16. Creating an annotation task and adding items to it
Data Management Tutorial
1. Cloud Storage
1.1. External Storage Dataset
1.2. Create an AWS Lambda to Continuously Sync a Bucket with Dataloop’s Dataset
2. Manage Datasets
2.1. Create Dataset
2.2. Create Dataset With Cloud Storage Driver
2.3. Retrieve Datasets
2.4. Create Directory
2.5. Deep Copy a Folder to Another Dataset
3. Data Versioning
3.1. Clone Datasets
3.2. Merge Datasets
4. Upload & Manage Data & Metadata
4.1. Upload Specific Files
4.2. Upload All Files in a Folder
4.3. Upload Items From URL Links
4.4. Upload Items with Metadata
5. Upload & Manage Annotations
5.1. Upload User Metadata
5.2. Convert Annotations To COCO Format
5.3. Upload Entire Directory and their Corresponding Dataloop JSON Annotations
5.4. Upload Annotations To Video Item
5.5. Upload Annotations In VTT Format
5.6. Upload Audio Annotation to an Audio File
5.7. Set Attributes On Annotations
5.8. Free Text Attribute
5.9. Range Attributes (Slider in UI)
5.10. CheckBox Attribute (Multiple choice)
5.11. Radio Button Attribute (Single Choice)
5.12. Yes/No Attribute
5.13. Show Annotations Over Image
5.14. Download Data, Annotations & Metadata
5.15. Download Items and Annotations
5.16. Filter by Item and/or Annotation
5.17. Filter by Annotations
5.18. Download Annotations in COCO/YOLO/VOC Format
6. Advance SDK Filters
6.1. Filter Operators
6.2. SDK defaults
6.3. Delete a Filter
6.4. Full Examples
7. The Dataloop Query Language - DQL
7.1. Filters
7.2. Filter Annotations
7.3. Filter Annotations by the Annotations’ Item
7.4. Filters Method - “Or” and “And”
7.5. Delete Filtered Items
7.6. Annotation Filtering Fields
7.7. Full Examples
7.8. Advanced Filtering Operators
8. The Dataloop Query Language - DQL
8.1. Filters
8.2. Filter Items
8.3. Filter Items by the Items’ Annotations
8.4. Filters Method - “Or” and “And”
8.5. Update User Metadata of Filtered Items
8.6. Delete Filtered Items
8.7. Item Filtering Fields
8.8. Full Examples
8.9. Advanced Filtering Operators
8.10. Response to DQL Query
9. Pagination
9.1. Pages
9.2. Iterator of Items
9.3. Set page_size
10. Working with Metadata
10.1. User Metadata
FaaS Tutorial
1. FaaS Interactive Tutorial
1.1. Concept
1.2. 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. Executions Control
5.1. Execution Termination
5.2. Execution Timeout
6. UI Slots
6.1. Define a UI slot in the platform
6.2. Update the Package and Service with the Slot
6.3. Activate the UI slot
7. FaaS Docker Image
7.1. Our Docker Image
7.2. Public Docker Images
7.3. Build Your Own Docker Image
7.4. Using Private Docker Registry
8. Example: Model Annotations Service
8.1. Service Code
8.2. Define the module
8.3. Model and weights files
8.4. Push the Package
8.5. Deploy The Service
8.6. Trigger the Service
8.7. Uploading Model Weights as Artifacts
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. Add items to an existing task
2.1. By Filters
3. Managing Tasks & Assignments
3.1. Get Task
3.2. Get Assignments
4. Redistribute and Reassign Assignments
4.1. 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 abd 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. Introduction
2. Create Your own Model and Snapshot
3. Dataloop Dataloader
3.1. Object Detection Examples
3.2. Segmentation Examples
3.3. Setting a Label Map
3.4. Batch size and batch_size and collate_fn
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