partition
Description
Examples
Partition blockedPointCloudDatastore
and Read First Partition
Create a blocked point cloud.
pcfile = fullfile(toolboxdir("lidar"),"lidardata", ... "las","aerialLidarData.laz"); bpc = blockedPointCloud(pcfile,[300 300]);
Create a blockedPointCloudDatastore
from the blocked point cloud.
bpcds = blockedPointCloudDatastore(bpc);
Partition the blocked point cloud datastore into two partitions, and create a new blockedPointCloudDatastore
object from the data in the first partition.
bpcdsp1 = partition(bpcds,2,1);
Read data and metadata from the first partition. Display the metadata.
while hasdata(bpcdsp1) [data,info] = read(bpcdsp1); disp(info) end
ROI: [4.2975e+05 4.3005e+05 3.6798e+06 3.6801e+06 72.7900 125.8200] BlockSub: [1 1 1] PCNumber: 1 PointAttributes: [1x1 lidarPointAttributes] BlockSize: [300 300 53.0300]
Input Arguments
bpcds
— Blocked point cloud datastore
blockedPointCloudDatastore
object
Blocked point cloud datastore, specified as a
blockedPointCloudDatastore
object.
n
— Number of partitions
numeric scalar
Number of partitions, specified as a numeric scalar. To estimate a reasonable value
for N
, use the numpartitions
function.
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
index
— Partition to read
numeric scalar
Partition to read, specified as a numeric scalar.
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
| logical
Output Arguments
subbpcds
— Partitioned subset of datastore
blockedPointCloudDatastore
object
Partitioned subset of the datastore, returned as a blockedPointCloudDatastore
object.
Version History
Introduced in R2022a
See Also
MATLAB 명령
다음 MATLAB 명령에 해당하는 링크를 클릭했습니다.
명령을 실행하려면 MATLAB 명령 창에 입력하십시오. 웹 브라우저는 MATLAB 명령을 지원하지 않습니다.
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