The chipper filter takes a single large point cloud and converts it into a set of smaller clouds, or chips. The chips are all spatially contiguous and non-overlapping, so the result is a an irregular tiling of the input data.
Note
Each chip will have approximately, but not exactly, the capacity
point
count specified.
See also
The split command utilizes the filters.chipper to split data by capacity.
Chipping is usually applied to data read from files (which produce one large stream of points) before the points are written to a database (which prefer data segmented into smaller blocks).
{
"pipeline":[
"example.las",
{
"type":"filters.chipper",
"capacity":"400",
},
{
"type":"writers.pgpointcloud",
"connection":"dbname='lidar' user='user'"
}
]
}