How To Install pcl-tools on Fedora 36

In this tutorial we learn how to install pcl-tools in Fedora 36. pcl-tools is Point cloud tools and viewers

Introduction

In this tutorial we learn how to install pcl-tools on Fedora 36.

What is pcl-tools

This package contains tools for point cloud file processing and viewers for point cloud files and live Kinect data.

We can use yum or dnf to install pcl-tools on Fedora 36. In this tutorial we discuss both methods but you only need to choose one of method to install pcl-tools.

Install pcl-tools on Fedora 36 Using dnf

Update yum database with dnf using the following command.

sudo dnf makecache --refresh

After updating yum database, We can install pcl-tools using dnf by running the following command:

sudo dnf -y install pcl-tools

Install pcl-tools on Fedora 36 Using yum

Update yum database with yum using the following command.

sudo yum makecache --refresh

After updating yum database, We can install pcl-tools using yum by running the following command:

sudo yum -y install pcl-tools

How To Uninstall pcl-tools on Fedora 36

To uninstall only the pcl-tools package we can use the following command:

sudo dnf remove pcl-tools

pcl-tools Package Contents on Fedora 36

/usr/bin/pcl_add_gaussian_noise
/usr/bin/pcl_boundary_estimation
/usr/bin/pcl_cluster_extraction
/usr/bin/pcl_compute_cloud_error
/usr/bin/pcl_compute_hausdorff
/usr/bin/pcl_compute_hull
/usr/bin/pcl_concatenate_points_pcd
/usr/bin/pcl_convert_pcd_ascii_binary
/usr/bin/pcl_converter
/usr/bin/pcl_convolve
/usr/bin/pcl_crf_segmentation
/usr/bin/pcl_crop_to_hull
/usr/bin/pcl_demean_cloud
/usr/bin/pcl_dinast_grabber
/usr/bin/pcl_elch
/usr/bin/pcl_extract_feature
/usr/bin/pcl_face_trainer
/usr/bin/pcl_fast_bilateral_filter
/usr/bin/pcl_feature_matching
/usr/bin/pcl_fpfh_estimation
/usr/bin/pcl_fs_face_detector
/usr/bin/pcl_generate
/usr/bin/pcl_gp3_surface
/usr/bin/pcl_grid_min
/usr/bin/pcl_ground_based_rgbd_people_detector
/usr/bin/pcl_hdl_grabber
/usr/bin/pcl_hdl_viewer_simple
/usr/bin/pcl_icp
/usr/bin/pcl_icp2d
/usr/bin/pcl_image_grabber_saver
/usr/bin/pcl_image_grabber_viewer
/usr/bin/pcl_linemod_detection
/usr/bin/pcl_local_max
/usr/bin/pcl_lum
/usr/bin/pcl_manual_registration
/usr/bin/pcl_marching_cubes_reconstruction
/usr/bin/pcl_match_linemod_template
/usr/bin/pcl_mesh2pcd
/usr/bin/pcl_mesh_sampling
/usr/bin/pcl_mls_smoothing
/usr/bin/pcl_morph
/usr/bin/pcl_multiscale_feature_persistence_example
/usr/bin/pcl_ndt2d
/usr/bin/pcl_ndt3d
/usr/bin/pcl_ni_agast
/usr/bin/pcl_ni_brisk
/usr/bin/pcl_ni_linemod
/usr/bin/pcl_ni_susan
/usr/bin/pcl_ni_trajkovic
/usr/bin/pcl_nn_classification_example
/usr/bin/pcl_normal_estimation
/usr/bin/pcl_obj2pcd
/usr/bin/pcl_obj2ply
/usr/bin/pcl_obj2vtk
/usr/bin/pcl_obj_rec_ransac_accepted_hypotheses
/usr/bin/pcl_obj_rec_ransac_hash_table
/usr/bin/pcl_obj_rec_ransac_model_opps
/usr/bin/pcl_obj_rec_ransac_orr_octree
/usr/bin/pcl_obj_rec_ransac_orr_octree_zprojection
/usr/bin/pcl_obj_rec_ransac_result
/usr/bin/pcl_obj_rec_ransac_scene_opps
/usr/bin/pcl_octree_viewer
/usr/bin/pcl_oni2pcd
/usr/bin/pcl_oni_viewer
/usr/bin/pcl_openni_3d_concave_hull
/usr/bin/pcl_openni_3d_convex_hull
/usr/bin/pcl_openni_boundary_estimation
/usr/bin/pcl_openni_change_viewer
/usr/bin/pcl_openni_face_detector
/usr/bin/pcl_openni_fast_mesh
/usr/bin/pcl_openni_feature_persistence
/usr/bin/pcl_openni_grabber_depth_example
/usr/bin/pcl_openni_grabber_example
/usr/bin/pcl_openni_ii_normal_estimation
/usr/bin/pcl_openni_image
/usr/bin/pcl_openni_klt
/usr/bin/pcl_openni_mls_smoothing
/usr/bin/pcl_openni_mobile_server
/usr/bin/pcl_openni_octree_compression
/usr/bin/pcl_openni_organized_compression
/usr/bin/pcl_openni_organized_edge_detection
/usr/bin/pcl_openni_organized_multi_plane_segmentation
/usr/bin/pcl_openni_passthrough
/usr/bin/pcl_openni_pcd_recorder
/usr/bin/pcl_openni_planar_convex_hull
/usr/bin/pcl_openni_planar_segmentation
/usr/bin/pcl_openni_save_image
/usr/bin/pcl_openni_shift_to_depth_conversion
/usr/bin/pcl_openni_tracking
/usr/bin/pcl_openni_uniform_sampling
/usr/bin/pcl_openni_viewer
/usr/bin/pcl_openni_voxel_grid
/usr/bin/pcl_organized_segmentation_demo
/usr/bin/pcl_outlier_removal
/usr/bin/pcl_outofcore_print
/usr/bin/pcl_outofcore_process
/usr/bin/pcl_outofcore_viewer
/usr/bin/pcl_passthrough_filter
/usr/bin/pcl_pcd2ply
/usr/bin/pcl_pcd2png
/usr/bin/pcl_pcd2vtk
/usr/bin/pcl_pcd_change_viewpoint
/usr/bin/pcl_pcd_convert_NaN_nan
/usr/bin/pcl_pcd_grabber_viewer
/usr/bin/pcl_pcd_image_viewer
/usr/bin/pcl_pcd_introduce_nan
/usr/bin/pcl_pcd_organized_edge_detection
/usr/bin/pcl_pcd_organized_multi_plane_segmentation
/usr/bin/pcl_pcd_select_object_plane
/usr/bin/pcl_pcd_video_player
/usr/bin/pcl_pclzf2pcd
/usr/bin/pcl_plane_projection
/usr/bin/pcl_ply2obj
/usr/bin/pcl_ply2pcd
/usr/bin/pcl_ply2ply
/usr/bin/pcl_ply2raw
/usr/bin/pcl_ply2vtk
/usr/bin/pcl_plyheader
/usr/bin/pcl_png2pcd
/usr/bin/pcl_poisson_reconstruction
/usr/bin/pcl_ppf_object_recognition
/usr/bin/pcl_progressive_morphological_filter
/usr/bin/pcl_pyramid_surface_matching
/usr/bin/pcl_radius_filter
/usr/bin/pcl_registration_visualizer
/usr/bin/pcl_sac_segmentation_plane
/usr/bin/pcl_spin_estimation
/usr/bin/pcl_statistical_multiscale_interest_region_extraction_example
/usr/bin/pcl_stereo_ground_segmentation
/usr/bin/pcl_surfel_smoothing_test
/usr/bin/pcl_test_search_speed
/usr/bin/pcl_tiff2pcd
/usr/bin/pcl_timed_trigger_test
/usr/bin/pcl_train_linemod_template
/usr/bin/pcl_train_unary_classifier
/usr/bin/pcl_transform_from_viewpoint
/usr/bin/pcl_transform_point_cloud
/usr/bin/pcl_unary_classifier_segment
/usr/bin/pcl_uniform_sampling
/usr/bin/pcl_vfh_estimation
/usr/bin/pcl_viewer
/usr/bin/pcl_virtual_scanner
/usr/bin/pcl_vlp_viewer
/usr/bin/pcl_voxel_grid
/usr/bin/pcl_voxel_grid_occlusion_estimation
/usr/bin/pcl_vtk2obj
/usr/bin/pcl_vtk2pcd
/usr/bin/pcl_vtk2ply
/usr/bin/pcl_xyz2pcd
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References

Summary

In this tutorial we learn how to install pcl-tools on Fedora 36 using yum and [dnf]((/fedora/36/dnf/).