# filters.chipper¶

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 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).

## Example¶

{
"pipeline":[
"example.las",
{
"type":"filters.chipper",
"capacity":"400",
},
{
"type":"writers.pgpointcloud",
"connection":"dbname='lidar' user='user'"
}
]
}


## Options¶

capacity
How many points to fit into each chip. The number of points in each chip will not exceed this value, and will sometimes be less than it. [Default: 5000]