def _visual_image_move_warp_lnds_move_warp(cls, item, path_dataset=None, path_experiment=None):
""" visualise the case with warped moving image and landmarks
to the reference frame so they are simple to overlap
:param dict item: row with the experiment
:param str|None path_dataset: path to the dataset folder
:param str|None path_experiment: path to the experiment folder
:return obj|None:
"""
assert isinstance(item.get(cls.COL_POINTS_MOVE_WARP, None), str), \
'Missing registered points in "%s"' % cls.COL_POINTS_MOVE_WARP
path_points_warp = update_path(item[cls.COL_POINTS_MOVE_WARP], pre_path=path_experiment)
if not os.path.isfile(path_points_warp):
logging.warning('missing warped landmarks for: %r', dict(item))
return
points_ref, points_move, path_img_ref = cls._load_landmarks(item, path_dataset)
image_warp = cls._load_warped_image(item, path_experiment)
points_warp = load_landmarks(path_points_warp)
if not list(points_warp):
return
# draw image with landmarks
image = draw_image_points(image_warp, points_warp)
_path = update_path(item[cls.COL_REG_DIR], pre_path=path_experiment)
save_image(os.path.join(_path, cls.NAME_IMAGE_MOVE_WARP_POINTS), image)
del image
# visualise the landmarks move during registration
image_ref = load_image(path_img_ref)
fig = draw_images_warped_landmarks(image_ref, image_warp, points_move, points_ref, points_warp)
del image_ref, image_warp
return fig
def _visual_image_move_warp_lnds_ref_warp(cls,
item,
path_dataset=None,
path_experiment=None):
""" visualise the case with warped reference landmarks to the move frame
:param dict item: row with the experiment
:param str|None path_dataset: path to the dataset folder
:param str|None path_experiment: path to the experiment folder
:return obj|None:
"""
if not isinstance(item.get(cls.COL_POINTS_REF_WARP), str):
raise ValueError('Missing registered points in "%s"' %
cls.COL_POINTS_REF_WARP)
path_points_warp = update_path(item[cls.COL_POINTS_REF_WARP],
pre_path=path_experiment)
if not os.path.isfile(path_points_warp):
logging.warning('missing warped landmarks for: %r', dict(item))
return
points_ref, points_move, path_img_ref = cls._load_landmarks(
item, path_dataset)
points_warp = load_landmarks(path_points_warp)
if not list(points_warp):
return
# draw image with landmarks
image_move = load_image(
update_path(item[cls.COL_IMAGE_MOVE], pre_path=path_dataset))
image = draw_image_points(image_move, points_warp)
_path = update_path(item[cls.COL_REG_DIR], pre_path=path_experiment)
save_image(os.path.join(_path, cls.NAME_IMAGE_REF_POINTS_WARP), image)
del image
image_ref = load_image(path_img_ref)
image_warp = cls._load_warped_image(item, path_experiment)
image = overlap_two_images(image_ref, image_warp)
_path = update_path(item[cls.COL_REG_DIR], pre_path=path_experiment)
save_image(os.path.join(_path, cls.NAME_IMAGE_REF_WARP), image)
del image, image_warp
# visualise the landmarks move during registration
fig = draw_images_warped_landmarks(image_ref, image_move, points_ref,
points_move, points_warp)
return fig