Supervisely
About SuperviselyEcosystemContact usSlack
  • 💻Supervisely Developer Portal
  • 🎉Getting Started
    • Installation
    • Basics of authentication
    • Intro to Python SDK
    • Environment variables
    • Supervisely annotation format
      • Project Structure
      • Project Meta: Classes, Tags, Settings
      • Objects
      • Tags
      • Image Annotation
      • Video Annotation
      • Point Clouds Annotation
      • Point Cloud Episode Annotation
      • Volumes Annotation
    • Python SDK tutorials
      • Images
        • Images
        • Image and object tags
        • Spatial labels on images
        • Keypoints (skeletons)
        • Multispectral images
        • Multiview images
        • Advanced: Optimized Import
        • Advanced: Export
      • Videos
        • Videos
        • Video and object tags
        • Spatial labels on videos
      • Point Clouds
        • Point Clouds (LiDAR)
        • Point Cloud Episodes and object tags
        • 3D point cloud object segmentation based on sensor fusion and 2D mask guidance
        • 3D segmentation masks projection on 2D photo context image
      • Volumes
        • Volumes (DICOM)
        • Spatial labels on volumes
      • Common
        • Iterate over a project
        • Iterate over a local project
        • Progress Bar tqdm
        • Cloning projects for development
    • Command Line Interface (CLI)
      • Enterprise CLI Tool
        • Instance administration
        • Workflow automation
      • Supervisely SDK CLI
    • Connect your computer
      • Linux
      • Windows WSL
      • Troubleshooting
  • 🔥App development
    • Basics
      • Create app from any py-script
      • Configuration file
        • config.json
        • Example 1. Headless
        • Example 2. App with GUI
        • v1 - Legacy
          • Example 1. v1 Modal Window
          • Example 2. v1 app with GUI
      • Add private app
      • Add public app
      • App Compatibility
    • Apps with GUI
      • Hello World!
      • App in the Image Labeling Tool
      • App in the Video Labeling Tool
      • In-browser app in the Labeling Tool
    • Custom import app
      • Overview
      • From template - simple
      • From scratch - simple
      • From scratch GUI - advanced
      • Finding directories with specific markers
    • Custom export app
      • Overview
      • From template - simple
      • From scratch - advanced
    • Neural Network integration
      • Overview
      • Serving App
        • Introduction
        • Instance segmentation
        • Object detection
        • Semantic segmentation
        • Pose estimation
        • Point tracking
        • Object tracking
        • Mask tracking
        • Image matting
        • How to customize model inference
        • Example: Custom model inference with probability maps
      • Serving App with GUI
        • Introduction
        • How to use default GUI template
        • Default GUI template customization
        • How to create custom user interface
      • Inference API
      • Training App
        • Overview
        • Tensorboard template
        • Object detection
      • High level scheme
      • Custom inference pipeline
      • Train and predict automation model pipeline
    • Advanced
      • Advanced debugging
      • How to make your own widget
      • Tutorial - App Engine v1
        • Chapter 1 Headless
          • Part 1 — Hello world! [From your Python script to Supervisely APP]
          • Part 2 — Errors handling [Catching all bugs]
          • Part 3 — Site Packages [Customize your app]
          • Part 4 — SDK Preview [Lemons counter app]
          • Part 5 — Integrate custom tracker into Videos Annotator tool [OpenCV Tracker]
        • Chapter 2 Modal Window
          • Part 1 — Modal window [What is it?]
          • Part 2 — States and Widgets [Customize modal window]
        • Chapter 3 UI
          • Part 1 — While True Script [It's all what you need]
          • Part 2 — UI Rendering [Simplest UI Application]
          • Part 3 — APP Handlers [Handle Events and Errors]
          • Part 4 — State and Data [Mutable Fields]
          • Part 5 — Styling your app [Customizing the UI]
        • Chapter 4 Additionals
          • Part 1 — Remote Developing with PyCharm [Docker SSH Server]
      • Custom Configuration
        • Fixing SSL Certificate Errors in Supervisely
        • Fixing 400 HTTP errors when using HTTP instead of HTTPS
      • Autostart
      • Coordinate System
      • MLOps Workflow integration
    • Widgets
      • Input
        • Input
        • InputNumber
        • InputTag
        • BindedInputNumber
        • DatePicker
        • DateTimePicker
        • ColorPicker
        • TimePicker
        • ClassesMapping
        • ClassesColorMapping
      • Controls
        • Button
        • Checkbox
        • RadioGroup
        • Switch
        • Slider
        • TrainValSplits
        • FileStorageUpload
        • Timeline
        • Pagination
      • Text Elements
        • Text
        • TextArea
        • Editor
        • Copy to Clipboard
        • Markdown
        • Tooltip
        • ElementTag
        • ElementTagsList
      • Media
        • Image
        • LabeledImage
        • GridGallery
        • Video
        • VideoPlayer
        • ImagePairSequence
        • Icons
        • ObjectClassView
        • ObjectClassesList
        • ImageSlider
        • Carousel
        • TagMetaView
        • TagMetasList
        • ImageAnnotationPreview
        • ClassesMappingPreview
        • ClassesListPreview
        • TagsListPreview
        • MembersListPreview
      • Selection
        • Select
        • SelectTeam
        • SelectWorkspace
        • SelectProject
        • SelectDataset
        • SelectItem
        • SelectTagMeta
        • SelectAppSession
        • SelectString
        • Transfer
        • DestinationProject
        • TeamFilesSelector
        • FileViewer
        • Dropdown
        • Cascader
        • ClassesListSelector
        • TagsListSelector
        • MembersListSelector
        • TreeSelect
        • SelectCudaDevice
      • Thumbnails
        • ProjectThumbnail
        • DatasetThumbnail
        • VideoThumbnail
        • FolderThumbnail
        • FileThumbnail
      • Status Elements
        • Progress
        • NotificationBox
        • DoneLabel
        • DialogMessage
        • TaskLogs
        • Badge
        • ModelInfo
        • Rate
        • CircleProgress
      • Layouts and Containers
        • Card
        • Container
        • Empty
        • Field
        • Flexbox
        • Grid
        • Menu
        • OneOf
        • Sidebar
        • Stepper
        • RadioTabs
        • Tabs
        • TabsDynamic
        • ReloadableArea
        • Collapse
        • Dialog
        • IFrame
      • Tables
        • Table
        • ClassicTable
        • RadioTable
        • ClassesTable
        • RandomSplitsTable
        • FastTable
      • Charts and Plots
        • LineChart
        • GridChart
        • HeatmapChart
        • ApexChart
        • ConfusionMatrix
        • LinePlot
        • GridPlot
        • ScatterChart
        • TreemapChart
        • PieChart
      • Compare Data
        • MatchDatasets
        • MatchTagMetas
        • MatchObjClasses
        • ClassBalance
        • CompareAnnotations
      • Widgets demos on github
  • 😎Advanced user guide
    • Objects binding
    • Automate with Python SDK & API
      • Start and stop app
      • User management
      • Labeling Jobs
  • 🖥️UI widgets
    • Element UI library
    • Supervisely UI widgets
    • Apexcharts - modern & interactive charts
    • Plotly graphing library
  • 📚API References
    • REST API Reference
    • Python SDK Reference
Powered by GitBook
On this page
  • Introduction
  • Function signature
  • Parameters
  • left_collection
  • right_collection
  • left_name
  • right_name
  • selectable
  • suffix
  • widget_id
  • Methods and attributes
  • Mini App Example
  • Import libraries
  • Init API client
  • Prepare TagMeta we will matched
  • Initialize MatchTagMetas widget
  • Create app layout
  • Create app using layout

Was this helpful?

Edit on GitHub
  1. App development
  2. Widgets
  3. Compare Data

MatchTagMetas

PreviousMatchDatasetsNextMatchObjClasses

Last updated 2 years ago

Was this helpful?

Introduction

MatchTagMetas widget in Supervisely is used to compare tag metas between two different projects. It displays a table with the tag name, type, and possible differences between the tag metas of the two datasets. This widget allows users to identify differences in the tag structure between projects and easily reconcile them. Additionally, it provides the comparison result in the form of a dictionary grouped in "match", only_right, only_left, different_value_type, different_one_of_options, match_suffix, different_value_type_suffix, and different_one_of_options_suffix categories.

Function signature

MatchTagMetas(
    left_collection=None,
    right_collection=None,
    left_name=None,
    right_name=None,
    selectable=False,
    suffix=None,
    widget_id=None,
)

Parameters

Parameters
Type
Description

left_collection

Union[TagMetaCollection, List[TagMeta], None]

List of TagMeta or TagMetaCollection, containing information about left tags

right_collection

Union[TagMetaCollection, List[TagMeta], None]

List of TagMeta or TagMetaCollection, containing information about right tags

left_name

str

Left part column name

right_name

str

Right part column name

selectable

bool

Whether the component is selectable

suffix

str

Suffix to match tag names

widget_id

str

ID of the widget

left_collection

Determine information about left tags.

type: Union[TagMetaCollection, List[TagMeta], None]

default value: None

right_collection

Determine information about right tags.

type: Union[TagMetaCollection, List[TagMeta], None]

default value: None

match = MatchTagMetas(
    left_collection=tag_metas_left,
    right_collection=tag_metas_right,
)

left_name

Determine left part tags name.

type: Union[str, None]

default value: None

right_name

Determine right part tags name.

type: Union[str, None]

default value: None

match = MatchTagMetas(
    left_collection=tag_metas_left,
    right_collection=tag_metas_right,
    left_name="left tags",
    right_name="right tags",
)

selectable

Whether the components are selectable.

type: bool

default value: False

match = MatchTagMetas(
    left_collection=tag_metas_left,
    right_collection=tag_metas_right,
    selectable=True,
)

suffix

Use to match tag names.

type: Union[str, None]

default value: None

widget_id

ID of the widget.

type: str

default value: None

Methods and attributes

Attributes and Methods
Description

set(left_collection: Union[TagMetaCollection, List[TagMeta], None] = None, right_collection: Union[TagMetaCollection, List[TagMeta], None] = None, left_name=Union[str, None] = None, right_name=Union[str, None] = None, suffix: Union[str, None] = None)

Set input data in left and right part of widget.

get_stat()

Return tags match statistics.

get_selected()

Return list of selected TagMeta names.

Mini App Example

You can find this example in our Github repository:

Import libraries

import os
import supervisely as sly
from supervisely.app.widgets import Card, Container, MatchTagMetas
from dotenv import load_dotenv

Init API client

First, we load environment variables with credentials and init API for communicating with Supervisely Instance:

load_dotenv("local.env")
load_dotenv(os.path.expanduser("~/supervisely.env"))

api = sly.Api()

Prepare TagMeta we will matched

project_id_left = 17208
meta_json_left = api.project.get_meta(project_id_left)
project_meta_left = sly.ProjectMeta.from_json(meta_json_left)
tag_metas_left = project_meta_left.tag_metas

project_id_right = 17752
meta_json_right = api.project.get_meta(project_id_right)
project_meta_right = sly.ProjectMeta.from_json(meta_json_right)
tag_metas_right = project_meta_right.tag_metas

Initialize MatchTagMetas widget

match = MatchTagMetas(
    left_collection=tag_metas_left,
    right_collection=tag_metas_right,
    left_name="left tags",
    right_name="right tags",
)

Create app layout

Prepare a layout for app using Card widget with the content parameter and place widget that we've just created in the Container widget.

card = Card(
    title="Match Tags",
    content=match,
)
layout = Container(widgets=[card])

Create app using layout

Create an app object with layout parameter.

app = sly.Application(layout=layout)

🔥
ui-widgets-demos/compare data/002_match_tags/src/main.py