NLPAR#
- class pyebsdindex.nlpar.NLPAR(filename=None, lam=0.7, searchradius=3, dthresh=0.0, diff_offset=0.0, saturation_protect=True, stem_scale=False, automask=True, nrows=None, ncols=None, **kwargs)[source]#
Bases:
objectMethods
NLPAR.auto_nlpar([filename, fileout, lindex])NLPAR.backsub(data)NLPAR.calcnlpar(**kwargs)NLPAR.calcnlpar_cpu([chunksize, ...])NLPAR.calcsigma(**kwargs)NLPAR.calcsigma_cpu([chunksize, nn, ...])NLPAR.makeautomask(h, w)NLPAR.nlpar_nb(data, lam, sr, dthresh, ...)NLPAR.opt_lambda(**kwargs)NLPAR.opt_lambda_cpu([target_weights, ...])NLPAR.setfile([filepath])NLPAR.setoutfile(patternfile[, filepath])Set the output file.
NLPAR.sigma_numba(data, nn, nrows, ncols, ...)