Skip to content

ActiveIntelligentSystemsLab/sintel_stereo_publisher

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

sintel_stereo_publisher

ROS package to publish stereo images from MPI Sintel Stereo Training Data.

Requirement

  • Docker
  • Docker Compose

Run with Docker

$ git clone https://github.com/ActiveIntelligentSystemsLab/sintel_stereo_publisher
$ cd sintel_stereo_publisher
$ xhost +local:root
$ sudo docker-compose up

Then a image viewer window opens.

Node: sintel_stereo_publisher

Publish stereo images from MPI Sintel Stereo Training Data.

Published topics

Services

  • ~start_publish (std_srvs/Empty)

    Start publish topics when ~pause param is true.

Parameters

  • ~dataset_directory (string, default: None)

    Root directory of MPI Sintel Stereo Training Data. Under the root directory, there should be training and sdk directories.

    If this is not set, the node just exits with error.

  • ~publish_rate (double, default: 24.0)

    Published frames per second.

  • ~sequence_name (string, default: "alley_1")

    Name of sequence directory which you want to publish.

    There are sequence directories under _dataset_directory/training/.

  • ~camera_param_file (string, default: None)

    Path of a file which contain camera parameters. Used to publish CameraInfo.

    The file is contained in MPI Sintel Depth Training Data and has .cam extension.

    If this is not set, the node just exits with error.

  • ~loop (bool, default: false)

    If publish of all frames in a sequence is finished, back to start and continue publishing.

  • ~render_pass (string, default: "clean")

    Choose render pass from "clean" and "final".

    See MPI Sintel Dataset's paper to know about "render pass".

  • ~pause (bool, default: "false")

    Start in pause mode. Publish don't start until ~start_publish service is called.

ROS Message Types

About

Publish stereo images from MPI Sintel Stereo Training Data

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages