v1.59.21
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
Data Management Tutorial
Cloud Storage
Create an External Dataset
AWS Binding with Lambda
Manage Datasets
1. Manage Datasets
Data Versioning
1. Data Versioning
Upload and Manage Data and Metadata
1. Upload & Manage Data & Metadata
Upload and Manage Annotations
1. Upload & Manage Annotations
2. Set Attributes On Annotations
3. Show Annotations Over Image
4. Download Data, Annotations & Metadata
Sort and Filters
Advance SDK Filters
Annotation Level Filters
Item Level
Pagination
Working with Metadata
1. Working with Metadata
FaaS Tutorial
FaaS Interactive Tutorial – Using Python & Dataloop SDK
1. FaaS Interactive Tutorial – Using Python & Dataloop SDK
2. Use Cases
Introduction
1. Introduction
Run Your First Function
1. Basic Use Case: Single Function
Multiple Functions and Modules
1. Multiple Functions
2. Multiple Modules
Execution Control
1. Executions Control
Task Workflows
Tasks and Assignment
Create Annotation Task
Create Annotation Assignment
Redistribute and Reassign
QA Tasks Management
Create QA Task
Create QA Assignment
Redistribute and Reassign
Image Annotations
Setup
1. Setup
2. Initiation
3. Optional Plotting
Classification, Point and Pose
1. Classification
2. Classify Multiple Items
3. Create a Point Annotation
4. Pose Annotation
Bounding Box and Cuboid
1. Create Box Annotation
2. Create a Rotated Bounding Box Annotation
3. Convert Semantic Segmentation to Bounding Box
4. Create Cuboid (3D Box) Annotation
Polygon and Polyline
1. Create Single Polygon/Polyline Annotation
2. Create Multiple Polygons from Mask
3. Convert Mask Annotations to Polygon
4. Convert Polygon Annotation to Mask
Ellipse and Item Description
1. Create Ellipse Annotation
2. Item Description
Advance Tutorials
1. Copy Annotations Between Items
2. Show Images & Annotations
3. Show Annotations from JSON file (Dataloop format)
4. Count total number of annotations
5. Parenting Annotations
6. Change Annotations’ Label
Video Annotations
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
Concepts
1. Recipe and Ontology Concepts
Ontology
1. Preparing - Entities setup
2. Create an Ontology
3. Labels
4. Attributes
5. Add attributes to the ontology
6. Read Ontology Attributes
7. Getting all labels is (including children):
Recipe
1. Working With Recipes
2. Cloning Recipes
3. View Dataset Labels
4. Add Labels by Dataset
5. Add Labels Using Label Object
6. Add a Label and Sub-Labels
7. Add Hierarchy Labels with Nested
8. Delete Labels by Dataset
9. Update Label Features
Model Management
Introduction
1. Model Management
Create a Model and Snapshot
1. Create Your own Model and Snapshot
Using Dataloop’s Dataset Generator
1. Dataloop Dataloader
dtlpy
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v: v1.59.21
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