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.

See also

split command utilizes the filters.chipper to split data by capacity.

Before chipping, the points are all in one collection.

After chipping, the points are tiled into smaller contiguous chips.

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¶

<?xml version="1.0" encoding="utf-8"?>
<Pipeline version="1.0">
  <Writer type="writers.pgpointcloud">
    <Option name="connection">dbname='lidar' user='user'</Option>
    <Filter type="filters.chipper">
      <Option name="capacity">400</Option>
      <Reader type="readers.las">
          <Option name="filename">example.las</Option>
      </Reader>
    </Filter>
  </Writer>
</Pipeline>

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]