def transform(self, tfm: Transform) -> None:
"""
In-place transform all attributes of this class.
"""
self.image = tfm.apply_image(self.image)
if self.boxes is not None:
self.boxes = tfm.apply_box(self.boxes)
if self.sem_seg is not None:
self.sem_seg = tfm.apply_segmentation(self.sem_seg)
def transform(self, tfm: Transform) -> None:
"""
In-place transform all attributes of this class.
By "in-place", it means after calling this method, accessing an attribute such
as ``self.image`` will return transformed data.
"""
self.image = tfm.apply_image(self.image)
if self.boxes is not None:
self.boxes = tfm.apply_box(self.boxes)
if self.sem_seg is not None:
self.sem_seg = tfm.apply_segmentation(self.sem_seg)
def transform(self, tfm: Transform) -> None:
"""
In-place transform all attributes of this class.
By "in-place", it means after calling this method, accessing an attribute such
as ``self.image`` will return transformed data.
"""
self.image = tfm.apply_image(self.image)