Documentation ¶
Overview ¶
Package pointcloud defines a point cloud and provides an implementation for one.
Its implementation is dictionary based is not yet efficient. The current focus is to make it useful and as such the API is experimental and subject to change considerably.
Index ¶
- func BoundingBoxFromPointCloud(cloud PointCloud) (spatialmath.Geometry, error)
- func BoundingBoxFromPointCloudWithLabel(cloud PointCloud, label string) (spatialmath.Geometry, error)
- func CloudCentroid(pc PointCloud) r3.Vector
- func CloudContains(cloud PointCloud, x, y, z float64) bool
- func GetOffset(center, normal r3.Vector) float64
- func GetResidual(points []r3.Vector, plane Plane) float64
- func GetVoxelCenter(points []r3.Vector) r3.Vector
- func GetWeight(points []r3.Vector, lam, residual float64) float64
- func NewVector(x, y, z float64) r3.Vector
- func RegisterPointCloudICP(pcSrc PointCloud, target *KDTree, guess spatialmath.Pose, debug bool, ...) (PointCloud, IcpMergeResultInfo, error)
- func ReverseVoxelSlice(s VoxelSlice)
- func StatisticalOutlierFilter(meanK int, stdDevThresh float64) (func(PointCloud) (PointCloud, error), error)
- func ToPCD(cloud PointCloud, out io.Writer, outputType PCDType) error
- func WriteToLASFile(cloud PointCloud, fn string) (err error)
- type CloudAndOffsetFunc
- type CloudMatrixCol
- type Data
- type IcpMergeResultInfo
- type KDTree
- func (kd *KDTree) At(x, y, z float64) (Data, bool)
- func (kd *KDTree) Iterate(numBatches, myBatch int, fn func(p r3.Vector, d Data) bool)
- func (kd *KDTree) KNearestNeighbors(p r3.Vector, k int, includeSelf bool) []*PointAndData
- func (kd *KDTree) MetaData() MetaData
- func (kd *KDTree) NearestNeighbor(p r3.Vector) (r3.Vector, Data, float64, bool)
- func (kd *KDTree) RadiusNearestNeighbors(p r3.Vector, r float64, includeSelf bool) []*PointAndData
- func (kd *KDTree) Set(p r3.Vector, d Data) error
- func (kd *KDTree) Size() int
- type MetaData
- type PCDType
- type PCType
- type Plane
- type PointAndData
- type PointCloud
- func MergePointClouds(ctx context.Context, cloudFuncs []CloudAndOffsetFunc, logger golog.Logger) (PointCloud, error)
- func MergePointCloudsWithColor(clusters []PointCloud) (PointCloud, error)
- func New() PointCloud
- func NewAppendOnlyOnlyPointsPointCloud(allocSize int) PointCloud
- func NewFromFile(fn string, logger golog.Logger) (PointCloud, error)
- func NewFromLASFile(fn string, logger golog.Logger) (PointCloud, error)
- func NewRoundingPointCloud() PointCloud
- func NewRoundingPointCloudFromFile(fn string, logger golog.Logger) (PointCloud, error)
- func NewRoundingPointCloudFromPC(pc PointCloud) (PointCloud, error)
- func NewWithPrealloc(size int) PointCloud
- func PrunePointClouds(clouds []PointCloud, nMin int) []PointCloud
- func ReadPCD(inRaw io.Reader) (PointCloud, error)
- type Vectors
- type Voxel
- func (v1 *Voxel) CanMerge(v2 *Voxel, angleTh, cosTh float64) bool
- func (v1 *Voxel) ComputeCenter()
- func (v1 *Voxel) GetPlane() Plane
- func (v1 *Voxel) IsContinuous(v2 *Voxel, cosTh float64) bool
- func (v1 *Voxel) IsSmooth(v2 *Voxel, angleTh float64) bool
- func (v1 *Voxel) Positions() []r3.Vector
- func (v1 *Voxel) SetLabel(label int)
- type VoxelCoords
- type VoxelGrid
- func (vg *VoxelGrid) ConvertToPointCloudWithValue() (PointCloud, error)
- func (vg VoxelGrid) GetAdjacentVoxels(v *Voxel) []VoxelCoords
- func (vg *VoxelGrid) GetKeysByDecreasingOrderWeights() []VoxelCoords
- func (vg VoxelGrid) GetNNearestVoxels(v *Voxel, n uint) []VoxelCoords
- func (vg *VoxelGrid) GetPlanesFromLabels() ([]Plane, PointCloud, error)
- func (vg *VoxelGrid) GetUnlabeledVoxels() []VoxelCoords
- func (vg *VoxelGrid) GetVoxelFromKey(coords VoxelCoords) *Voxel
- func (vg *VoxelGrid) LabelNonPlanarVoxels(unlabeledVoxels []VoxelCoords, dTh float64)
- func (vg *VoxelGrid) LabelVoxels(sortedKeys []VoxelCoords, wTh, thetaTh, phiTh float64)
- func (vg *VoxelGrid) Lambda() float64
- func (vg *VoxelGrid) SegmentPlanesRegionGrowing(wTh, thetaTh, phiTh, dTh float64)
- func (vg *VoxelGrid) VoxelHistogram(w, h int, name string) (image.Image, error)
- func (vg *VoxelGrid) VoxelSize() float64
- type VoxelSlice
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
func BoundingBoxFromPointCloud ¶
func BoundingBoxFromPointCloud(cloud PointCloud) (spatialmath.Geometry, error)
BoundingBoxFromPointCloud returns a Geometry object that encompasses all the points in the given point cloud.
func BoundingBoxFromPointCloudWithLabel ¶ added in v0.1.2
func BoundingBoxFromPointCloudWithLabel(cloud PointCloud, label string) (spatialmath.Geometry, error)
BoundingBoxFromPointCloudWithLabel returns a Geometry object that encompasses all the points in the given point cloud.
func CloudCentroid ¶
func CloudCentroid(pc PointCloud) r3.Vector
CloudCentroid returns the centroid of a pointcloud as a vector.
func CloudContains ¶
func CloudContains(cloud PointCloud, x, y, z float64) bool
CloudContains is a silly helper method.
func GetOffset ¶
GetOffset computes the offset of the plane with given normal vector and a point in it.
func GetResidual ¶
GetResidual computes the mean fitting error of points to a given plane.
func GetVoxelCenter ¶
GetVoxelCenter computes the barycenter of the points in the slice of r3.Vector.
func RegisterPointCloudICP ¶
func RegisterPointCloudICP(pcSrc PointCloud, target *KDTree, guess spatialmath.Pose, debug bool, numThreads int, ) (PointCloud, IcpMergeResultInfo, error)
RegisterPointCloudICP registers a source pointcloud to a target pointcloud, starting from an initial guess using ICP.
func ReverseVoxelSlice ¶
func ReverseVoxelSlice(s VoxelSlice)
ReverseVoxelSlice reverses a slice of voxels.
func StatisticalOutlierFilter ¶
func StatisticalOutlierFilter(meanK int, stdDevThresh float64) (func(PointCloud) (PointCloud, error), error)
StatisticalOutlierFilter implements the function from PCL to remove noisy points from a point cloud. https://pcl.readthedocs.io/projects/tutorials/en/latest/statistical_outlier.html This returns a function that can be used to filter on point clouds. NOTE(bh): Returns a new point cloud, but could be modified to filter and change the original point cloud.
func ToPCD ¶
func ToPCD(cloud PointCloud, out io.Writer, outputType PCDType) error
ToPCD writes out a point cloud to a PCD file of the specified type.
func WriteToLASFile ¶
func WriteToLASFile(cloud PointCloud, fn string) (err error)
WriteToLASFile writes the point cloud out to a LAS file.
Types ¶
type CloudAndOffsetFunc ¶ added in v0.1.5
type CloudAndOffsetFunc func(context context.Context) (PointCloud, spatialmath.Pose, error)
CloudAndOffsetFunc is a function that returns a PointCloud with a pose that represents an offset to be applied to every point.
type CloudMatrixCol ¶
type CloudMatrixCol int
CloudMatrixCol is a type that represents the columns of a CloudMatrix.
const ( // CloudMatrixColX is the x column in the cloud matrix. CloudMatrixColX CloudMatrixCol = 0 // CloudMatrixColY is the y column in the cloud matrix. CloudMatrixColY CloudMatrixCol = 1 // CloudMatrixColZ is the z column in the cloud matrix. CloudMatrixColZ CloudMatrixCol = 2 // CloudMatrixColR is the r column in the cloud matrix. CloudMatrixColR CloudMatrixCol = 3 // CloudMatrixColG is the g column in the cloud matrix. CloudMatrixColG CloudMatrixCol = 4 // CloudMatrixColB is the b column in the cloud matrix. CloudMatrixColB CloudMatrixCol = 5 // CloudMatrixColV is the value column in the cloud matrix. CloudMatrixColV CloudMatrixCol = 6 )
func CloudMatrix ¶
func CloudMatrix(pc PointCloud) (*mat.Dense, []CloudMatrixCol)
CloudMatrix Returns a Matrix representation of a Cloud along with a Header list. The Header list is a list of CloudMatrixCols that correspond to the columns in the matrix. CloudMatrix is not guaranteed to return points in the same order as the cloud.
type Data ¶
type Data interface { // HasColor returns whether or not this point is colored. HasColor() bool // RGB255 returns, if colored, the RGB components of the color. There // is no alpha channel right now and as such the data can be assumed to be // premultiplied. RGB255() (uint8, uint8, uint8) // Color returns the native color of the point. Color() color.Color // SetColor sets the given color on the point. // Note(erd): we should try to remove this in favor of immutability. SetColor(c color.NRGBA) Data // HasValue returns whether or not this point has some user data value // associated with it. HasValue() bool // Value returns the user data set value, if it exists. Value() int // SetValue sets the given user data value on the point. // Note(erd): we should try to remove this in favor of immutability. SetValue(v int) Data // Intensity returns the intensity value, or 0 if it doesn't exist Intensity() uint16 // SetIntensity sets the intensity on the point. SetIntensity(v uint16) Data }
Data describes data associated single point within a PointCloud.
func NewBasicData ¶
func NewBasicData() Data
NewBasicData returns a point that is solely positionally based.
func NewColoredData ¶
NewColoredData returns a point that has both position and color.
func NewValueData ¶
NewValueData returns a point that has both position and a user data value.
type IcpMergeResultInfo ¶
IcpMergeResultInfo is a struct to hold the results of registering a pointcloud.
type KDTree ¶
type KDTree struct {
// contains filtered or unexported fields
}
KDTree extends PointCloud and orders the points in 3D space to implement nearest neighbor algos.
func NewKDTreeWithPrealloc ¶
NewKDTreeWithPrealloc creates a new KDTree with preallocated storage.
func ReadPCDToKDTree ¶
ReadPCDToKDTree reads a PCD file into a KD Tree pointcloud.
func ToKDTree ¶
func ToKDTree(pc PointCloud) *KDTree
ToKDTree creates a KDTree from an input PointCloud.
func (*KDTree) At ¶
At gets the point at position (x,y,z) from the PointCloud. It returns the data of the nearest neighbor and a boolean representing whether there is a point at that position.
func (*KDTree) KNearestNeighbors ¶
KNearestNeighbors returns the k nearest points ordered by distance. if includeSelf is true and if the point p is in the point cloud, point p will also be returned in the slice as the first element with distance 0.
func (*KDTree) NearestNeighbor ¶
NearestNeighbor returns the nearest point and its distance from the input point.
func (*KDTree) RadiusNearestNeighbors ¶
RadiusNearestNeighbors returns the nearest points within a radius r (inclusive) ordered by distance. If includeSelf is true and if the point p is in the point cloud, point p will also be returned in the slice as the first element with distance 0.
type MetaData ¶
type MetaData struct { HasColor bool HasValue bool MinX, MaxX float64 MinY, MaxY float64 MinZ, MaxZ float64 // contains filtered or unexported fields }
MetaData is data about what's stored in the point cloud.
type Plane ¶
type Plane interface { Equation() [4]float64 // Returns an array of the plane equation [0]x + [1]y + [2]z + [3] = 0. Normal() r3.Vector // The normal vector of the plane, could point "up" or "down". Center() r3.Vector // The center point of the plane (the planes are not infinite). Offset() float64 // the [3] term in the equation of the plane. PointCloud() (PointCloud, error) // Returns the underlying pointcloud that makes up the plane. Distance(p r3.Vector) float64 // The distance of a point p from the nearest point on the plane. Intersect(p0, p1 r3.Vector) *r3.Vector // The intersection point of the plane with line defined by p0,p1. return nil if parallel. }
Plane defines a planar object in a 3D space.
func NewPlane ¶
func NewPlane(cloud PointCloud, equation [4]float64) Plane
NewPlane creates a new plane object from a point cloud.
func NewPlaneFromVoxel ¶
func NewPlaneFromVoxel(normal, center r3.Vector, offset float64, points map[r3.Vector]Data, voxelKeys []VoxelCoords) Plane
NewPlaneFromVoxel creats a Plane object from a set of voxel properties.
func NewPlaneWithCenter ¶
func NewPlaneWithCenter(cloud PointCloud, equation [4]float64, center r3.Vector) Plane
NewPlaneWithCenter creates a new plane object from a point cloud.
type PointAndData ¶
PointAndData is a tiny struct to facilitate returning nearest neighbors in a neat way.
type PointCloud ¶
type PointCloud interface { // Size returns the number of points in the cloud. Size() int // MetaData returns meta data MetaData() MetaData // Set places the given point in the cloud. Set(p r3.Vector, d Data) error // At returns the point in the cloud at the given position. // The 2nd return is if the point exists, the first is data if any. At(x, y, z float64) (Data, bool) // Iterate iterates over all points in the cloud and calls the given // function for each point. If the supplied function returns false, // iteration will stop after the function returns. // numBatches lets you divide up he work. 0 means don't divide // myBatch is used iff numBatches > 0 and is which batch you want Iterate(numBatches, myBatch int, fn func(p r3.Vector, d Data) bool) }
PointCloud is a general purpose container of points. It does not dictate whether or not the cloud is sparse or dense. The current basic implementation is sparse however.
func MergePointClouds ¶
func MergePointClouds(ctx context.Context, cloudFuncs []CloudAndOffsetFunc, logger golog.Logger) (PointCloud, error)
MergePointClouds takes a slice of points clouds with optional offsets and adds all their points to one point cloud.
func MergePointCloudsWithColor ¶
func MergePointCloudsWithColor(clusters []PointCloud) (PointCloud, error)
MergePointCloudsWithColor creates a union of point clouds from the slice of point clouds, giving each element of the slice a unique color.
func NewAppendOnlyOnlyPointsPointCloud ¶
func NewAppendOnlyOnlyPointsPointCloud(allocSize int) PointCloud
NewAppendOnlyOnlyPointsPointCloud creates a point cloud that only can be appended to and iterated. It also can't have any meta data with it.
func NewFromFile ¶
func NewFromFile(fn string, logger golog.Logger) (PointCloud, error)
NewFromFile returns a pointcloud read in from the given file.
func NewFromLASFile ¶
func NewFromLASFile(fn string, logger golog.Logger) (PointCloud, error)
NewFromLASFile returns a point cloud from reading a LAS file. If any lossiness of points could occur from reading it in, it's reported but is not an error.
func NewRoundingPointCloud ¶
func NewRoundingPointCloud() PointCloud
NewRoundingPointCloud returns a new, empty, rounding PointCloud.
func NewRoundingPointCloudFromFile ¶
func NewRoundingPointCloudFromFile(fn string, logger golog.Logger) (PointCloud, error)
NewRoundingPointCloudFromFile like NewFromFile, returns a PointCloud but rounds all points in advance.
func NewRoundingPointCloudFromPC ¶
func NewRoundingPointCloudFromPC(pc PointCloud) (PointCloud, error)
NewRoundingPointCloudFromPC creates a rounding point cloud from any kind of input point cloud.
func NewWithPrealloc ¶
func NewWithPrealloc(size int) PointCloud
NewWithPrealloc returns an empty, preallocated PointCloud backed by a basicPointCloud.
func PrunePointClouds ¶
func PrunePointClouds(clouds []PointCloud, nMin int) []PointCloud
PrunePointClouds removes point clouds from a slice if the point cloud has less than nMin points.
type Vectors ¶
Vectors is a series of three-dimensional vectors.
type Voxel ¶
type Voxel struct { Key VoxelCoords Label int Points map[r3.Vector]Data Center r3.Vector Normal r3.Vector Offset float64 Residual float64 Weight float64 SortedWeightIdx int PointLabels []int }
Voxel is the structure to store data relevant to Voxel operations in point clouds.
func NewVoxel ¶
func NewVoxel(coords VoxelCoords) *Voxel
NewVoxel creates a pointer to a Voxel struct.
func NewVoxelFromPoint ¶
NewVoxelFromPoint creates a new voxel from a point.
func (*Voxel) CanMerge ¶
CanMerge returns true if two voxels can be added to the same connected component.
func (*Voxel) ComputeCenter ¶
func (v1 *Voxel) ComputeCenter()
ComputeCenter computer barycenter of points in voxel.
func (*Voxel) IsContinuous ¶
IsContinuous returns true if two voxels respect the continuity constraint, false otherwise cosTh is in [0,1].
func (*Voxel) IsSmooth ¶
IsSmooth returns true if two voxels respect the smoothness constraint, false otherwise angleTh is expressed in degrees.
type VoxelCoords ¶
type VoxelCoords struct {
I, J, K int64
}
VoxelCoords stores Voxel coordinates in VoxelGrid axes.
func GetVoxelCoordinates ¶
func GetVoxelCoordinates(pt, ptMin r3.Vector, voxelSize float64) VoxelCoords
GetVoxelCoordinates computes voxel coordinates in VoxelGrid Axes.
func (VoxelCoords) IsEqual ¶
func (c VoxelCoords) IsEqual(c2 VoxelCoords) bool
IsEqual tests if two VoxelCoords are the same.
type VoxelGrid ¶
type VoxelGrid struct { Voxels map[VoxelCoords]*Voxel // contains filtered or unexported fields }
VoxelGrid contains the sparse grid of Voxels of a point cloud.
func NewVoxelGrid ¶
NewVoxelGrid returns a pointer to a VoxelGrid with a (0,0,0) Voxel.
func NewVoxelGridFromPointCloud ¶
func NewVoxelGridFromPointCloud(pc PointCloud, voxelSize, lam float64) *VoxelGrid
NewVoxelGridFromPointCloud creates and fills a VoxelGrid from a point cloud.
func (*VoxelGrid) ConvertToPointCloudWithValue ¶
func (vg *VoxelGrid) ConvertToPointCloudWithValue() (PointCloud, error)
ConvertToPointCloudWithValue converts the voxel grid to a point cloud with values values are containing the labels.
func (VoxelGrid) GetAdjacentVoxels ¶
func (vg VoxelGrid) GetAdjacentVoxels(v *Voxel) []VoxelCoords
GetAdjacentVoxels gets adjacent voxels in point cloud in 26-connectivity.
func (*VoxelGrid) GetKeysByDecreasingOrderWeights ¶
func (vg *VoxelGrid) GetKeysByDecreasingOrderWeights() []VoxelCoords
GetKeysByDecreasingOrderWeights get the voxels keys in decreasing weight order.
func (VoxelGrid) GetNNearestVoxels ¶
func (vg VoxelGrid) GetNNearestVoxels(v *Voxel, n uint) []VoxelCoords
GetNNearestVoxels gets voxels around a grid coordinate that are N units or less away in each dimension.
func (*VoxelGrid) GetPlanesFromLabels ¶
func (vg *VoxelGrid) GetPlanesFromLabels() ([]Plane, PointCloud, error)
GetPlanesFromLabels returns a slice containing all the planes in the point cloud.
func (*VoxelGrid) GetUnlabeledVoxels ¶
func (vg *VoxelGrid) GetUnlabeledVoxels() []VoxelCoords
GetUnlabeledVoxels gathers in a slice all voxels whose label is 0.
func (*VoxelGrid) GetVoxelFromKey ¶
func (vg *VoxelGrid) GetVoxelFromKey(coords VoxelCoords) *Voxel
GetVoxelFromKey returns a pointer to a voxel from a VoxelCoords key.
func (*VoxelGrid) LabelNonPlanarVoxels ¶
func (vg *VoxelGrid) LabelNonPlanarVoxels(unlabeledVoxels []VoxelCoords, dTh float64)
LabelNonPlanarVoxels labels potential planar parts in Voxels that are containing more than one plane if a voxel contains no plane, the minimum distance of a point to one of the surrounding plane should be above the threshold dTh.
func (*VoxelGrid) LabelVoxels ¶
func (vg *VoxelGrid) LabelVoxels(sortedKeys []VoxelCoords, wTh, thetaTh, phiTh float64)
LabelVoxels performs voxel plane labeling If a voxel contains points from one plane, voxel propagation is done to the neighboring voxels that are also planar and share the same plane equation.
func (*VoxelGrid) SegmentPlanesRegionGrowing ¶
SegmentPlanesRegionGrowing segments planes in the points in the VoxelGrid This segmentation only takes into account the coordinates of the points.
func (*VoxelGrid) VoxelHistogram ¶
VoxelHistogram creates useful plots for determining the parameters of the voxel grid when calibrating a new sensor. Histograms of the number of points in each voxel, the weights of each voxel, and the plane residuals.
type VoxelSlice ¶
type VoxelSlice []*Voxel
VoxelSlice is a slice that contains Voxels.
func (VoxelSlice) Less ¶
func (d VoxelSlice) Less(i, j int) bool
Less for VoxelSlice sorting interface.
func (VoxelSlice) ToPointCloud ¶
func (d VoxelSlice) ToPointCloud() (PointCloud, error)
ToPointCloud uses the points in the slice of voxels to create a point cloud.