pub struct PointCloudBatchInfo {
    pub label: DebugLabel,
    pub world_from_obj: Affine3A,
    pub flags: PointCloudBatchFlags,
    pub point_count: u32,
    pub overall_outline_mask_ids: OutlineMaskPreference,
    pub additional_outline_mask_ids_vertex_ranges: Vec<(Range<u32>, OutlineMaskPreference)>,
    pub picking_object_id: PickingLayerObjectId,
    pub depth_offset: DepthOffset,
}
Expand description

Data that is valid for a batch of point cloud points.

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§label: DebugLabel§world_from_obj: Affine3A

Transformation applies to point positions

TODO(andreas): We don’t apply scaling to the radius yet. Need to pass a scaling factor like this in let scale = Mat3::from(world_from_obj).determinant().abs().cbrt()

§flags: PointCloudBatchFlags

Additional properties of this point cloud batch.

§point_count: u32

Number of points covered by this batch.

The batch will start with the next point after the one the previous batch ended with.

§overall_outline_mask_ids: OutlineMaskPreference

Optional outline mask setting for the entire batch.

§additional_outline_mask_ids_vertex_ranges: Vec<(Range<u32>, OutlineMaskPreference)>

Defines an outline mask for an individual vertex ranges.

Vertex ranges are relative within the current batch.

Having many of these individual outline masks can be slow as they require each their own uniform buffer & draw call. This feature is meant for a limited number of “extra selections” If an overall mask is defined as well, the per-point-range masks is overwriting the overall mask.

§picking_object_id: PickingLayerObjectId

Picking object id that applies for the entire batch.

§depth_offset: DepthOffset

Depth offset applied after projection.

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impl Default for PointCloudBatchInfo

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