dpr.register

Module Contents

Functions

align_bundles(bundles[, percent, padding, order, eps, ...])
resample_bundles_to_same(bundles[, num_points])
apply_shift(bundles, shifts[, order, padding])
flip_fibers(bundles, coordinates[, padding, template])	bundle - 2D array of M bundles with each metrics of size N as a column
truncate(bundles[, mode, trimval, axis])
filter_pairs(allpairs, mode)
get_shift_from_fft(x, y[, normalize])
get_ffts(bundles[, whiten, remove_baseline])
crosscorr(ffta, fftb[, normalize])
extrapolate(x, y[, return_value])

dpr.register.align_bundles(bundles, percent=15, padding=0.0, order=1, eps=1e-05, mode='full_template', remove_outliers=True, remove_baseline=True, whiten=True, normalize=False, return_shifts_matrix=False, rematch_outliers=True)

dpr.register.resample_bundles_to_same(bundles, num_points=None)

dpr.register.apply_shift(bundles, shifts, order=1, padding=np.nan)

dpr.register.flip_fibers(bundles, coordinates, padding=np.nan, template=None)

bundle - 2D array of M bundles with each metrics of size N as a column coordinates - list of points of size whatever x 3 template - Use this streamline to set the coordinate system.

If not set, we use the first one from coordinates.

dpr.register.truncate(bundles, mode='shortest', trimval=np.nan, axis=0)

dpr.register.filter_pairs(allpairs, mode)

dpr.register.get_shift_from_fft(x, y, normalize=False)

dpr.register.get_ffts(bundles, whiten=True, remove_baseline=True)

dpr.register.crosscorr(ffta, fftb, normalize=False)

dpr.register.extrapolate(x, y, return_value=False)