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| author |   B. Watson <yalhcru@gmail.com> | 2022-03-13 16:33:55 -0400 |
|---|---|---|
| committer | B. Watson <yalhcru@gmail.com> | 2022-03-13 16:33:55 -0400 |
| commit | fcb8ae7410e67a9130351aeb9757093ca10e05c7 (patch) | |
| tree | 4aeba95627cd6ee984ecea19bfd84715e095ffe1 /libraries/pcl | |
| parent | df50bb00c32d20323bb819516fd1e92d58db2db7 (diff) | |
| download | slackbuilds-fcb8ae7410e67a9130351aeb9757093ca10e05c7.tar.gz slackbuilds-fcb8ae7410e67a9130351aeb9757093ca10e05c7.tar.xz | |
libraries/pcl: Wrap README at 72 columns.
Signed-off-by: B. Watson <yalhcru@gmail.com>
Diffstat (limited to 'libraries/pcl')
| -rw-r--r-- | libraries/pcl/README | 25 |
1 files changed, 13 insertions, 12 deletions
diff --git a/libraries/pcl/README b/libraries/pcl/README index 36a4928f97..874ce2e6c0 100644 --- a/libraries/pcl/README +++ b/libraries/pcl/README @@ -1,15 +1,16 @@ -The Point Cloud Library (or PCL) is a large scale, open project for 2D/3D -image and point cloud processing. The PCL framework contains numerous -state-of-the art algorithms including filtering, feature estimation, -surface reconstruction, registration, model fitting and segmentation. -These algorithms can be used, for example, to filter outliers from noisy -data, stitch 3D point clouds together, segment relevant parts of a scene, -extract keypoints and compute descriptors to recognize objects in the -world based on their geometric appearance, and create surfaces from point -clouds and visualize them -- to name a few. - -Note on QT: Qt4 is used by default. If you only have Qt5, edit the option --DPCL_QT_VERSION and set it to 5. +The Point Cloud Library (or PCL) is a large scale, open project for +2D/3D image and point cloud processing. The PCL framework contains +numerous state-of-the art algorithms including filtering, feature +estimation, surface reconstruction, registration, model fitting and +segmentation. These algorithms can be used, for example, to filter +outliers from noisy data, stitch 3D point clouds together, segment +relevant parts of a scene, extract keypoints and compute descriptors +to recognize objects in the world based on their geometric appearance, +and create surfaces from point clouds and visualize them -- to name +a few. + +Note on QT: Qt4 is used by default. If you only have Qt5, edit the +option -DPCL_QT_VERSION and set it to 5. Optional dependencies: |