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ground truth labeling -凯发k8网页登录

interactive ground truth labeling of multiple signals

use the ground truth labeler app to label multiple signals representing the same scene. you can label videos, image sequences, and lidar signals such as point cloud sequences. use labeled ground truth as training data for machine learning and deep learning models, such as object detectors or semantic segmentation networks. to automate the labeling of ground truth data, you can use a built-in automation algorithm or develop your own algorithm. the app also provides apis for displaying additional time-synchronized signals and for loading custom data sources. to get started labeling a scene, see get started with ground truth labelling.

ground truth labeler app with multiple signals loaded

apps

ground truth labelerlabel ground truth data for automated driving applications

functions

load data

ground truth label data for multiple signals
ground truth data for roi labels
ground truth data for scene labels
interface for loading signal data into ground truth labeler app
load signals from video sources into ground truth labeler app
load signals from image sequence sources into ground truth labeler app
load signals from velodyne lidar sources into ground truth labeler app
load signals from rosbag sources into ground truth labeler app
load signals from point cloud sequence sources into ground truth labeler app
load signals from custom image sources into ground truth labeler app
signal type enumerations for labeling

create label definitions

object for storing, modifying, and creating label definitions table for multisignal workflow
create label definitions table from label definition creator object for multisignal workflow
display label, sublabel, or attribute information stored in label definition creator object for multisignal workflow

add

add label to label definition creator object for multisignal workflow
add sublabel to label in label definition creator object for multisignal workflow
add attributes to label or sublabel in label definition creator object for multisignal workflow

edit

change group name in label definition creator object for multisignal workflow
modify label group name in label definition creator object for multisignal workflow
modify label or sublabel description in label definition creator object for multisignal workflow
modify attribute description in label definition creator object for multisignal workflow

remove

remove label from label definition creator object for multisignal workflow
remove sublabel from label in label definition creator object for multisignal workflow
remove attribute from label or sublabel in label definition creator object for multisignal workflow

action flags

initialize state for algorithm execution (optional)
run label automation on every frame in interval
terminate automated algorithm (optional)

validation

set up validation (optional)
validate signal type
validate label definition
set multisignal algorithm automation flag

algorithm

interface for algorithm automation in ground truth labeling
display algorithm settings (optional)
mixin interface for adding temporal context to automation algorithms
set reverse algorithm automation flag

store data

ground truth label data for multiple signals
ground truth data for roi labels
ground truth data for scene labels
change file paths in multisignal ground truth data

select labels

select multisignal ground truth by label name
select multisignal ground truth by label type
select multisignal ground truth by label group name
select multisignal ground truth by signal name
select multisignal ground truth labels by signal type

enumerate attribute and label types

label type enumerations for labeling
attribute type enumerations for labeling

create training data

gather synchronized label data from ground truth
write signal frames for ground truth data to disk
interface to connect external tool to ground truth labeler app
update external tool when new frame is displayed in ground truth labeler app
update external tool when connecting to signal being loaded into ground truth labeler app
update external tool for new label data in ground truth labeler app
update external tool for new label definitions in ground truth labeler app
close external tool connected to ground truth labeler app
add custom label data at current time
query for custom label data at current time
update current time in ground truth labeler app
disconnect external tool from ground truth labeler app

topics

get started

  • choose an app to label ground truth data
    decide which app to use to label ground truth data: image labeler, video labeler, ground truth labeler, lidar labeler, signal labeler, or medical image labeler.
  • get started with ground truth labelling

    interactively label multiple lidar and video signals simultaneously.

    • step 1:
    • step 2:
    • step 3:

  • use keyboard shortcuts and mouse actions to increase productivity while using the ground truth labeler app.

load ground truth data sources


  • in the ground truth labeler app, a data source is a file or folder containing one or more signals to load.

  • learn how to create a class for loading signals from custom data sources into the ground truth labeler app.

  • create a reader function to load a custom image data source into the ground truth labeler or video labeler.

  • control which signal frames display in the ground truth labeler app during playback.

label ground truth


  • label pixels for training a semantic segmentation network by using a labeling app.

  • label lidar point clouds to use as training data for object detectors.

  • learn how roi sublabels and attributes work in labeling apps.

  • view a summary of roi and scene labels in a labeling app session.

automate labeling


  • create a custom automation algorithm to use in a labeling app.

  • create a time-based custom tracking algorithm to import into a labeling app.

use ground truth labels


  • share and store labeled ground truth data exported from labeling apps.

  • learn how the labeling apps store pixel label data.
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