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object_recognition_linemod package from object_recognition_linemod repo

object_recognition_linemod

Package Summary

Tags No category tags.
Version 0.3.7
License BSD
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/wg-perception/linemod.git
VCS Type git
VCS Version master
Last Updated 2016-08-28
Dev Status MAINTAINED
CI status Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Package Description

An object recognition pipeline that uses LINE-MOD from OpenCV

Additional Links

Maintainers

  • Vincent Rabaud

Authors

  • Vincent Rabaud
README
No README found. No README in repository either.
CHANGELOG

0.3.7 (2015-07-21)

  • small changes in training: object distance and mesh path
  • Contributors: Vincent Rabaud, nlyubova

0.3.6 (2015-04-20)

  • fixing training and detection for meshes generated with the Reconstration pipeline
  • Contributors: nlyubova

0.3.5 (2015-04-19)

  • fixed the depth conversion to 32F, updated possible mesh names for both training and detection
  • Contributors: nlyubova

0.3.4 (2015-04-14)

  • remove the sample folder: a lot of old non-working code This also fixes #11
  • fix #13 fully
  • Merge pull request #13 from nlyubova/master Fixed issue with openNI2 while handing both 32F and 8U depth formats
  • Fixed issue with openNI2 while handing both 32F and 8U depth formats
  • Contributors: Vincent Rabaud, nlyubova

0.3.3 (2015-01-20)

  • Fixed input params for training
  • use the new renderer API
  • Contributors: Vincent Rabaud, nlyubova

0.3.2 (2015-01-18)

  • fix compilation on 32 bits
  • update OpenCV dependency
  • Contributors: Vincent Rabaud

0.3.1 (2015-01-18)

  • fixed object orientation, fixed icp, added detection of multiple objects, added visualization of point clouds
  • clean extensions
  • update docs
  • Updated render function to match latest ork_renderer commit bfcdbc2c74b21ac07b20c953f994269a427eb25c
  • fix some runtime behavior
  • Contributors: Isura, Vincent Rabaud, nlyubova

0.3.0 (2014-01-29 01:59:06 +0100)

  • better mesh handling
  • drop Fuerte support

Wiki Tutorials

This package does not provide any links to tutorials in it's rosindex metadata. You can check on the ROS Wiki Tutorials page for the package.

Package Dependencies

System Dependencies

No direct system dependencies.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged object_recognition_linemod at Robotics Stack Exchange

object_recognition_linemod package from object_recognition_linemod repo

object_recognition_linemod

Package Summary

Tags No category tags.
Version 0.3.7
License BSD
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/wg-perception/linemod.git
VCS Type git
VCS Version master
Last Updated 2016-08-28
Dev Status MAINTAINED
CI status Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Package Description

An object recognition pipeline that uses LINE-MOD from OpenCV

Additional Links

Maintainers

  • Vincent Rabaud

Authors

  • Vincent Rabaud
README
No README found. No README in repository either.
CHANGELOG

0.3.7 (2015-07-21)

  • small changes in training: object distance and mesh path
  • Contributors: Vincent Rabaud, nlyubova

0.3.6 (2015-04-20)

  • fixing training and detection for meshes generated with the Reconstration pipeline
  • Contributors: nlyubova

0.3.5 (2015-04-19)

  • fixed the depth conversion to 32F, updated possible mesh names for both training and detection
  • Contributors: nlyubova

0.3.4 (2015-04-14)

  • remove the sample folder: a lot of old non-working code This also fixes #11
  • fix #13 fully
  • Merge pull request #13 from nlyubova/master Fixed issue with openNI2 while handing both 32F and 8U depth formats
  • Fixed issue with openNI2 while handing both 32F and 8U depth formats
  • Contributors: Vincent Rabaud, nlyubova

0.3.3 (2015-01-20)

  • Fixed input params for training
  • use the new renderer API
  • Contributors: Vincent Rabaud, nlyubova

0.3.2 (2015-01-18)

  • fix compilation on 32 bits
  • update OpenCV dependency
  • Contributors: Vincent Rabaud

0.3.1 (2015-01-18)

  • fixed object orientation, fixed icp, added detection of multiple objects, added visualization of point clouds
  • clean extensions
  • update docs
  • Updated render function to match latest ork_renderer commit bfcdbc2c74b21ac07b20c953f994269a427eb25c
  • fix some runtime behavior
  • Contributors: Isura, Vincent Rabaud, nlyubova

0.3.0 (2014-01-29 01:59:06 +0100)

  • better mesh handling
  • drop Fuerte support

Wiki Tutorials

This package does not provide any links to tutorials in it's rosindex metadata. You can check on the ROS Wiki Tutorials page for the package.

Package Dependencies

System Dependencies

No direct system dependencies.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged object_recognition_linemod at Robotics Stack Exchange

object_recognition_linemod package from object_recognition_linemod repo

object_recognition_linemod

Package Summary

Tags No category tags.
Version 0.3.7
License BSD
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/wg-perception/linemod.git
VCS Type git
VCS Version master
Last Updated 2016-08-28
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Package Description

An object recognition pipeline that uses LINE-MOD from OpenCV

Additional Links

Maintainers

  • Vincent Rabaud

Authors

  • Vincent Rabaud
README
No README found. No README in repository either.
CHANGELOG

0.3.7 (2015-07-21)

  • small changes in training: object distance and mesh path
  • Contributors: Vincent Rabaud, nlyubova

0.3.6 (2015-04-20)

  • fixing training and detection for meshes generated with the Reconstration pipeline
  • Contributors: nlyubova

0.3.5 (2015-04-19)

  • fixed the depth conversion to 32F, updated possible mesh names for both training and detection
  • Contributors: nlyubova

0.3.4 (2015-04-14)

  • remove the sample folder: a lot of old non-working code This also fixes #11
  • fix #13 fully
  • Merge pull request #13 from nlyubova/master Fixed issue with openNI2 while handing both 32F and 8U depth formats
  • Fixed issue with openNI2 while handing both 32F and 8U depth formats
  • Contributors: Vincent Rabaud, nlyubova

0.3.3 (2015-01-20)

  • Fixed input params for training
  • use the new renderer API
  • Contributors: Vincent Rabaud, nlyubova

0.3.2 (2015-01-18)

  • fix compilation on 32 bits
  • update OpenCV dependency
  • Contributors: Vincent Rabaud

0.3.1 (2015-01-18)

  • fixed object orientation, fixed icp, added detection of multiple objects, added visualization of point clouds
  • clean extensions
  • update docs
  • Updated render function to match latest ork_renderer commit bfcdbc2c74b21ac07b20c953f994269a427eb25c
  • fix some runtime behavior
  • Contributors: Isura, Vincent Rabaud, nlyubova

0.3.0 (2014-01-29 01:59:06 +0100)

  • better mesh handling
  • drop Fuerte support

Wiki Tutorials

This package does not provide any links to tutorials in it's rosindex metadata. You can check on the ROS Wiki Tutorials page for the package.

Package Dependencies

System Dependencies

No direct system dependencies.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged object_recognition_linemod at Robotics Stack Exchange

No version for distro kinetic. Known supported distros are highlighted in the buttons above.
No version for distro melodic. Known supported distros are highlighted in the buttons above.