NLPAR#

class pyebsdindex.nlpar.NLPAR(filename=None, lam=0.7, searchradius=3, dthresh=0.0, nrows=None, ncols=None)[source]#

Bases: object

Methods

NLPAR.automask(h, w)

NLPAR.backsub(data)

NLPAR.calcnlpar([chunksize, searchradius, ...])

NLPAR.calcsigma([chunksize, nn, ...])

NLPAR.getinfileobj()

NLPAR.getoutfileobj()

NLPAR.nlpar_nb(data, lam, sr, dthresh, ...)

NLPAR.opt_lambda([chunksize, ...])

NLPAR.setfile([filepath])

NLPAR.setoutfile(patternfile[, filepath])

Set the output file.

NLPAR.sigma_numba(data, nn, nrows, ncols, ...)