`AFQ.recognition.preprocess`#

Module Contents#

`tolerance_mm_to_vox`(img, dist_to_waypoint, ...)
`fgarray`(tg)	Streamlines resampled to 20 points.
`crosses`(fgarray, img)	Classify the streamlines by whether they cross the midline.
`get_preproc_plan`(img, tg, dist_to_waypoint, dist_to_atlas)

AFQ.recognition.preprocess.tolerance_mm_to_vox(img, dist_to_waypoint, input_dist_to_atlas)[source]#

AFQ.recognition.preprocess.fgarray(tg)[source]#: Streamlines resampled to 20 points.

AFQ.recognition.preprocess.crosses(fgarray, img)[source]#: Classify the streamlines by whether they cross the midline. Creates a crosses attribute which is an array of booleans. Each boolean corresponds to a streamline, and is whether or not that streamline crosses the midline.

AFQ.recognition.preprocess.get_preproc_plan(img, tg, dist_to_waypoint, dist_to_atlas)[source]#