pcl-tools-1.12.0-27.el9 - Fedora Packages

Date	Author	Change
2025-12-04	Scott K Logan <logans at cottsay dot net> - 1.12.0-27	- Rebuild for gdal 3.10.3

usr/
- bin/
  - pcl_add_gaussian_noise
  - pcl_boundary_estimation
  - pcl_cluster_extraction
  - pcl_compute_cloud_error
  - pcl_compute_hausdorff
  - pcl_compute_hull
  - pcl_concatenate_points_pcd
  - pcl_convert_pcd_ascii_binary
  - pcl_converter
  - pcl_convolve
  - pcl_crf_segmentation
  - pcl_crop_to_hull
  - pcl_demean_cloud
  - pcl_dinast_grabber
  - pcl_elch
  - pcl_extract_feature
  - pcl_face_trainer
  - pcl_fast_bilateral_filter
  - pcl_feature_matching
  - pcl_fpfh_estimation
  - pcl_fs_face_detector
  - pcl_generate
  - pcl_gp3_surface
  - pcl_grid_min
  - pcl_ground_based_rgbd_people_detector
  - pcl_hdl_grabber
  - pcl_hdl_viewer_simple
  - pcl_icp
  - pcl_icp2d
  - pcl_image_grabber_saver
  - pcl_image_grabber_viewer
  - pcl_linemod_detection
  - pcl_local_max
  - pcl_lum
  - pcl_manual_registration
  - pcl_marching_cubes_reconstruction
  - pcl_match_linemod_template
  - pcl_mesh2pcd
  - pcl_mesh_sampling
  - pcl_mls_smoothing
  - pcl_morph
  - pcl_multiscale_feature_persistence_example
  - pcl_ndt2d
  - pcl_ndt3d
  - pcl_ni_agast
  - pcl_ni_brisk
  - pcl_ni_linemod
  - pcl_ni_susan
  - pcl_ni_trajkovic
  - pcl_nn_classification_example
  - pcl_normal_estimation
  - pcl_obj2pcd
  - pcl_obj2ply
  - pcl_obj2vtk
  - pcl_obj_rec_ransac_accepted_hypotheses
  - pcl_obj_rec_ransac_hash_table
  - pcl_obj_rec_ransac_model_opps
  - pcl_obj_rec_ransac_orr_octree
  - pcl_obj_rec_ransac_orr_octree_zprojection
  - pcl_obj_rec_ransac_result
  - pcl_obj_rec_ransac_scene_opps
  - pcl_octree_viewer
  - pcl_oni2pcd
  - pcl_oni_viewer
  - pcl_openni_3d_concave_hull
  - pcl_openni_3d_convex_hull
  - pcl_openni_boundary_estimation
  - pcl_openni_change_viewer
  - pcl_openni_face_detector
  - pcl_openni_fast_mesh
  - pcl_openni_feature_persistence
  - pcl_openni_grabber_depth_example
  - pcl_openni_grabber_example
  - pcl_openni_ii_normal_estimation
  - pcl_openni_image
  - pcl_openni_klt
  - pcl_openni_mls_smoothing
  - pcl_openni_mobile_server
  - pcl_openni_octree_compression
  - pcl_openni_organized_compression
  - pcl_openni_organized_edge_detection
  - pcl_openni_organized_multi_plane_segmentation
  - pcl_openni_passthrough
  - pcl_openni_pcd_recorder
  - pcl_openni_planar_convex_hull
  - pcl_openni_planar_segmentation
  - pcl_openni_save_image
  - pcl_openni_shift_to_depth_conversion
  - pcl_openni_tracking
  - pcl_openni_uniform_sampling
  - pcl_openni_viewer
  - pcl_openni_voxel_grid
  - pcl_organized_segmentation_demo
  - pcl_outlier_removal
  - pcl_outofcore_print
  - pcl_outofcore_process
  - pcl_outofcore_viewer
  - pcl_passthrough_filter
  - pcl_pcd2ply
  - pcl_pcd2png
  - pcl_pcd2vtk
  - pcl_pcd_change_viewpoint
  - pcl_pcd_convert_NaN_nan
  - pcl_pcd_grabber_viewer
  - pcl_pcd_image_viewer
  - pcl_pcd_introduce_nan
  - pcl_pcd_organized_edge_detection
  - pcl_pcd_organized_multi_plane_segmentation
  - pcl_pcd_select_object_plane
  - pcl_pcd_video_player
  - pcl_pclzf2pcd
  - pcl_plane_projection
  - pcl_ply2obj
  - pcl_ply2pcd
  - pcl_ply2ply
  - pcl_ply2raw
  - pcl_ply2vtk
  - pcl_plyheader
  - pcl_png2pcd
  - pcl_poisson_reconstruction
  - pcl_ppf_object_recognition
  - pcl_progressive_morphological_filter
  - pcl_pyramid_surface_matching
  - pcl_radius_filter
  - pcl_registration_visualizer
  - pcl_sac_segmentation_plane
  - pcl_spin_estimation
  - pcl_statistical_multiscale_interest_region_extraction_example
  - pcl_stereo_ground_segmentation
  - pcl_surfel_smoothing_test
  - pcl_test_search_speed
  - pcl_tiff2pcd
  - pcl_timed_trigger_test
  - pcl_train_linemod_template
  - pcl_train_unary_classifier
  - pcl_transform_from_viewpoint
  - pcl_transform_point_cloud
  - pcl_unary_classifier_segment
  - pcl_uniform_sampling
  - pcl_vfh_estimation
  - pcl_viewer
  - pcl_virtual_scanner
  - pcl_vlp_viewer
  - pcl_voxel_grid
  - pcl_voxel_grid_occlusion_estimation
  - pcl_vtk2obj
  - pcl_vtk2pcd
  - pcl_vtk2ply
  - pcl_xyz2pcd
- lib/
  - .build-id/
    - 01/
      - b391e72380fec3c667a0e9f4cf8f05eb47dd9e
      - b6fca0e01b46e278ec4091c4596b785116d1a2
    - 04/
      - 27a670494cf58e7918d9c27cc87b7425c89519
    - 06/
      - 93fc2fc3d35c10f0380de9b03a3c4e3e28c58d
    - 0b/
      - a4de650e82a2bf7b5ddb30ca5a4a58623399cd
      - fddeff738478ea91b0afb4cda3914ce85ead31
    - 0c/
      - 1fcf9a4f8c009ff71cf2f03838fb9ecb4f7499
      - 65583df3e2c27bf020e3321989c6e8fc320f72
    - 0e/
      - 60ce023d78b33b6dde146130befd3b6adb09dd
    - 11/
      - 14ae953c923828ca0e4aa4e70d4d268c81309b
    - 13/
      - 0287b66322d764ac7e6bb8c54b154128a5b1d3
    - 18/
      - 0eb541d44bfdf62f8edadd6f7ae02496591b9d
      - 90ffdfb87e71b104dde42037a6b3aac22f7e61
    - 19/
      - 398c4ff50ff1873212daa4e9bf38005f9d6446
    - 1a/
      - 1c537dfdeb8d86e7d3484090f1c15cc3d8eb75
      - 9720ccd11fecd9c2333b7bf8742815064ea0a6
    - 1c/
      - 4066f63904c6d99c82fdfba7002f7d57b5bb59
    - 1d/
      - 2c793c7f4e3a1883940f047a9543ce1e04fa6b
    - 1f/
      - 11da34803c1ca2f074d86cdb5621a4902d599f
      - 3afb4947305c8acf1fd7664e04318a77c9a7ef
    - 21/
      - d40755f7a55d6c55418591d9cdeba4478fdaf4
    - 23/
      - ef580f93478c83a3366956d4a8857364e61c86
    - 26/
      - 1288d8de7a97a0c75c4a31e572505ecdc0d495
    - 2b/
      - 58b19c7df9bf9eb38603f4e85b395466a563e5
    - 2d/
      - 4bac31fb61294ad351b07c75522a5b8913a6c6
    - 2e/
      - 9bbfaff63c5db16fd21b6d15ae76c6e7197939
    - 2f/
      - db05215a1a6e1a522fb9d224b5b056f8a40b6d
    - 32/
      - 5a0e043ce557560208067c96ef5d0e6865b692
    - 37/
      - 5524721debb9cb72347c43aa9aa1567bc76fc6
      - 7a88cd67118bc02c210f956a4ed9914c6ea38e
    - 39/
      - c12b38fb58cfc7de4ad12df51892d44eb34fbc
    - 3a/
      - 2f52bae8f2aee04bb31c403fdea33f97abf61a
    - 3b/
      - e7f0a654b0d7d1669ccdd0678fb39b63841d30
      - fa8a6133dda7a42bd2d26eb813904687bac4de
    - 3c/
      - 12b7e7f07757d8f643ba0abc87eeca32f6565d
      - 57b3ca3f512462dd3d64776b7e95b958938005
      - 81621fa8da62909c791bbd83b1237d5e94d1f2
      - edb53ae3dfefa88d47ea10450008013031e71f
    - 3d/
      - aa9c5775a68060c614f1e036e24826eecea8af
    - 40/
      - a7162aa39a3c7d89b11cd5e3071f0c13f32604
    - 43/
      - 75ce07c6efa660bc0868c7facb31c0dda66660
    - 47/
      - fe4ec98a835edf8a2982ab5197ff0ad9e9748c
    - 48/
      - bea40e6b734b45549370d81ca5b599c2cb4f44
    - 49/
      - 093c404a19935b260120d5ad3e6b678f6fcf65
    - 4a/
      - c11746285fb20dbd7a1ec34a8af888d0f992f6
    - 4c/
      - f1b9dd8637cab2d63e1185ce1a2c277a2d838a
      - f6ec8be49a28be6b96950e621e30e881cbdd3a
    - 4d/
      - 8c7ccbfc189a100f61a4b0cf3108cb4dbd32aa
    - 4f/
      - f8c09c4ba5b3d6bf48e1a48fca1df8f05ace63
    - 50/
      - 4ae6e8636a8980b82c91493e96624bde450ee6
    - 53/
      - 25006eeff368705fe842172dddc12ab939f926
    - 54/
      - 797cd1b47df408623f6f6910cad7965761b1e9
    - 56/
      - 17574423c632244887c9d47751ddecd6e513f5
    - 59/
      - 67417f65a183c99c8b1095173355dea0edb19d
      - ffcbed17af32b56f1d7f523a6a734b794f03cb
    - 5d/
      - 1705e33fef14a4289d66f892b789d39ed42165
    - 61/
      - 41ede5c50dc37349cd941697dc88ce40893a56
    - 62/
      - c1cf2538144da8b7bf90d52f37c81a086d1b84
    - 67/
      - c1273acb9e24000ac495492a73b2ab062fb012
    - 6a/
      - 46574ece2e4de441f662aac696dfca5fb94a3c
    - 6c/
      - 0e1dea9a2f77d37b8fada6a90d156b1c5d1cfd
    - 6d/
      - 2634e105d255bd72b22940709b05b9e5ba2e56
      - 854185c53f7ad4b3e3177705735cbbb012e1e2
    - 70/
      - a82bc5763acd617e5db88035cfbc3ea5b0bcd5
    - 71/
      - dc1dc28f1f8df7769f5e3dcc54baad61aa01fc
    - 72/
      - c09deac125427ed9b9ae9adeed559b5d59aaf0
    - 73/
      - 900df063b16dce85ee03dd358956c3acdc72b9
      - aefe985f1f7f5026dcff4996349fbe107495f7
      - df4d4bdeb5cc8253b2e7b84b048538574a1148
    - 75/
      - 9218f87850313ed838838c96526fc89b1d0009
    - 78/
      - dff00579d647a1b09ae66711e412d291485cd2
      - fee7e03bfd1ed87acbebe4b430dd41b47e0d4c
    - 79/
      - dea9988162cf63737004ddc3cd8c81744d7f1b
    - 7a/
      - cad09db38fc55f4ff193e5234f242ac15ba2fd
    - 7c/
      - 0b0e6a938f0d07c96c3061b7d0f3a554b8d367
      - f8d144d277a8827bc304c5ea32aa04620ce6c2
    - 7f/
      - af22eaa35f2f7bd6e2a75a0ad0fe14b7ed08cf
    - 80/
      - bbb936e4255ea3f2c4fa7628f3e02e0c4a2a54
    - 81/
      - feef149605582163945b44ac34fb06139b994c
    - 83/
      - aa9605fdc19736f9a1d90c57f1bb3a742ea9be
      - c5e661f0989eac19d548279060a111608b5a82
    - 85/
      - 117a520bac9c361a22bc4d4ee1419c599f62d4
    - 86/
      - c0cde1ef7e296aff19bee8c2f14ab62169f133
    - 88/
      - 17a39085ab94b337ed7d21c7976399bf50990f
      - 41230d5557e1758bdfe23b10f7361e1bdd4696
    - 89/
      - 213fb88f7a7d10bc1d993368cd25f93d1e14ed
    - 8a/
      - 82559037d5bdcbcc4bf4dbc66aaa987031472b
    - 8d/
      - d27431b06c7b373fab057d73992a9147b8abee
    - 90/
      - 66f1babc07cbea10bbb2c18997235085161568
    - 91/
      - 96b7b510a320d62e8abc3f1b94496a40fd71df
    - 92/
      - 8a2505c7c51015120fd056332eb8e5cda39444
    - 98/
      - b3147de34d3eeca35e672fdb7d7186c25d9889
    - 99/
      - 625722fcffe07a1fcc9678cdbf4704b34c14e3
      - c8ea484e414e582234b4985da423200d2c8d01
    - 9f/
      - e189157b18fa7efedd2ded63a039a8cf7f823e
    - a2/
      - 2e2752b96598e8755ea0fdb33389c1d69639a6
      - afad2fbd0f9271275fa3dac11495c2d5e3bd71
    - a5/
      - 0cff940daaa7a3dc63b2abca6e935b0102c1df
      - 6c5033800ba1802bfd93128298a0ceec14b32c
      - d8b1bd167dca2eb37f087aad3ca6f78210753a
    - a6/
      - 312e0055227c6aacde58f57492ddc10a4a45df
    - a8/
      - df82f93b883c62cd626a7bbc08fe1a65deb974
    - b2/
      - 191d471ec23f9bac4aa1556b3a25017ef149cb
      - a1b25b795217415e12c1eebcc53573807420eb
      - fb2c5164b887e998680b3d60f37ced09e3bdeb
    - b3/
      - 82cda91a9572668ff7a834871c5554cac3820b
      - f6e5d6a486a1ffb074108245f7464cf5c19bb7
      - f7b054e2281cd272bc63faa25785c132623593
    - b5/
      - 30ad3275d66d973f07ad503eb5ede8fc6ee72e
      - 7fbbe407969ff3e8b172c6f8d503bd72e5006d
      - 866b6262b8af716cedf7678fc669b7b4f59d26
    - b8/
      - 6427a479dbe8a4df5bf332fe018825dbd7c38e
    - ba/
      - 591c5cf954281ccf0cda5bcf94f30a025ad1f3
      - 72c2d174afdf693aadc35f37edf2c504fdfc62
    - bb/
      - 20f7f4d61e805d2abccbe282fed1db501d1030
      - fd33e8bd6c136d86d1b65ee1477e8049c1c7fd
    - bd/
      - ec7df4a9bf40d8edefdc4b226c0a8bcaaaca1e
    - bf/
      - 712ae3aa6a5d9eb38fdbef5ecafa6dc6fc3f60
    - c7/
      - 1f87cd85de9e34f2c7531e5ae3c276b0023904
      - eb6a9d6d3fa817b291c837ed97710db2aeae32
    - c9/
      - cf3b1c0bb7141caa89ce0e2ea6a56aa2644e9b
      - fc50af3e255701e1b1799405d1786b2e950858
    - d3/
      - 34645dc6586d2a2c443e1b0470ea2907ae72b7
    - d4/
      - 03ab11d1489fd56a41f3fb2d9b459fbc578a4f
      - dbb4fb24ca51d8acaf5fa668dcda9c5f13167a
    - d5/
      - 687a3a9121890eb0ad2b22f1f3079853505989
      - ce4a101047b610a6a9a8546b6eed890b54c745
    - d8/
      - 4958816783077cb55fdbbfa68f131c73e51ae2
      - d696c5dca21021e303211684520a9ba153cf78
    - de/
      - c75dbe834ac69337144fc6e3c050c19126d34a
      - f6af1338b41634e87f5f28b673ba4a77847f02
    - e1/
      - 21f5e704f8a637785712b76e7dfe6a19c9a45d
    - e3/
      - cdbe3521fa4fb8e32b19d6cfe27126d3d6322d
    - e5/
      - 80a7c748a316acb4fce233d1c0ae578bdca407
      - dcff2fa4f06390efe9b3a99a7692c26ec8670f
    - e7/
      - 811b4d0f3479e7176bcd369db0f2ef335fc0c3
    - ea/
      - e4e9a936d1128a7807b1e4a9a52c9984d1d768
    - eb/
      - 686e7923e0ca355bc5391c06e2332a636522cd
    - ee/
      - 7052bcd955f73bb184837b2ce3aeff8fbe89d4
    - f1/
      - df8400bcee31b4556718dd01e8380dcb4051d9
    - f5/
      - 1480c4a553c697de190208ebee2a100765b43a
      - 5fa18d5607959ef48af86ab729b19f8d95cd22
    - f6/
      - 3600e28f31969474ea0f64b71f56a1460bd8db
    - f7/
      - 0ee226a3eff4104fcfa2e306944955ad88bfc6
      - f911a98b9cea98a93fd5d5c67dc09aae5d7999
    - f9/
      - d12a8294d7501e273f2431171b25af23730932
      - d92c7d076f2fa8f6a9c83c5fdccd4b69792960
    - fa/
      - d49f438da9a13548dacffd46e61d6db734f297
    - fe/
      - 9fdba2b97fa8f5eabdd4497d0364c9e9922f62

pcl-tools-1.12.0-27.el9 in Fedora EPEL 9

Changelog

Dependencies

Provides

Files