PYME.Analysis.points.gen3DTriangs module

PYME.Analysis.points.gen3DTriangs.averageNormals(P, N)

PYME.Analysis.points.gen3DTriangs.averageNormalsF(P, N, triI)

PYME.Analysis.points.gen3DTriangs.blobify(objects, sizeCutoff, sm=False, sc=[10, 10, 10])

PYME.Analysis.points.gen3DTriangs.blobify2D(objects, sizeCutoff)

PYME.Analysis.points.gen3DTriangs.calcMeanEdge(f)

PYME.Analysis.points.gen3DTriangs.calcTetVolume(f)

PYME.Analysis.points.gen3DTriangs.collectConnected(T, v, verts, va, lenThresh2, objInd)

PYME.Analysis.points.gen3DTriangs.cull_triangles_2D(T, max_edge_length=inf)

Cull triangles in a triangulation which have an edge length greater than max_edge_length. The triangle-culling is designed to walk back from the convex hull to the true object perimeter for objects with concave regions.

Parameters

Ta triangulation as produced by the matplotlib.delaunay module

max_edge_lengththe max edge length in nm.

Returns

class PYME.Analysis.points.gen3DTriangs.emptyListDict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list.  For example:  dict(one=1, two=2)

Bases: dict

PYME.Analysis.points.gen3DTriangs.gen3DBlobs(x, y, z, sizeCutoff=inf, sm=False, sc=[10, 10, 10])

PYME.Analysis.points.gen3DTriangs.gen3DTriangs(x, y, z, sizeCutoff=inf, internalCull=True, pcut=inf)

PYME.Analysis.points.gen3DTriangs.gen3DTriangsT(T, sizeCutoff=inf)

PYME.Analysis.points.gen3DTriangs.gen3DTriangsTF(T, sizeCutoff=inf, internalCull=False)

PYME.Analysis.points.gen3DTriangs.gen3DTriangsTFC(T, sizeCutoff=inf, internalCull=True, pcut=inf)

PYME.Analysis.points.gen3DTriangs.getExternalEdges(triInds)

PYME.Analysis.points.gen3DTriangs.getPerimeter(extEdges, T)

PYME.Analysis.points.gen3DTriangs.removeInternalFaces(P, A, N)

PYME.Analysis.points.gen3DTriangs.renderTetrahedra(im, y, x, z, scale=[1, 1, 1], pixelsize=[5, 5, 5])

PYME.Analysis.points.gen3DTriangs.segment(T, lenThresh, minSize=None)

PYME.Analysis.points.gen3DTriangs.segmentNR(T, lenThresh, minSize=None)

PYME.Analysis.points.gen3DTriangs.testObj()

PYME.Analysis.points.gen3DTriangs.trianglesEqual(T1, T2)