标签：ann ict ndt net can man save uil back
针对semantic数据集：
Semantic3D dataset can be found <a href="http://www.semantic3d.net/view_dbase.php?chl=2">here</a>. Download and unzip every point cloud as ascii files and place them in a folder called `Data/Semantic3D/original_data`. You also have to download and unzip the groundthruth labels as ascii files in the same folder.
# Dict from labels to names self.label_to_names = {0: ‘unlabeled‘, 1: ‘man-made terrain‘, 2: ‘natural terrain‘, 3: ‘high vegetation‘, 4: ‘low vegetation‘, 5: ‘buildings‘, 6: ‘hard scape‘, 7: ‘scanning artefacts‘, 8: ‘cars‘}
# Subsample to save space sub_points, sub_colors, sub_labels = grid_subsampling(points, features=colors, labels=labels, sampleDl=0.01)
# Write the subsampled ply file write_ply(ply_file_full, (sub_points, sub_colors, sub_labels), [‘x‘, ‘y‘, ‘z‘, ‘red‘, ‘green‘, ‘blue‘, ‘class‘])
ICCV2019《KPConv: Flexible and Deformable Convolution for Point Clouds》
标签：ann ict ndt net can man save uil back
原文地址：https://www.cnblogs.com/yibeimingyue/p/11931320.html
