77 lines
2.4 KiB
Python
77 lines
2.4 KiB
Python
import random
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from copy import deepcopy
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from itertools import chain
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from funcy import rpartial, juxt, first
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from image_prediction.stitching.split_mapper import SplitMapper, HorizontalSplitMapper, VerticalSplitMapper
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class BoxSplitter:
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def __init__(self, noise=None):
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self.__steps = None
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self.__noise = (0, 0) if not noise else noise
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def split_box(self, box, steps=5):
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self.__steps = steps
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return self.__split_recursively(box, 0)
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def __split_recursively(self, box, step):
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return self.__split_and_recurse(box, step) if self.__steps_left(step) else self.__base_case(box)
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def __steps_left(self, step):
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return step < self.__steps
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@staticmethod
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def __base_case(box):
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return [box]
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def __split_and_recurse(self, box, step):
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new_boxes = self.__random_split(box)
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new_boxes_per_branch = self.__tree_recurse(new_boxes, step + 1)
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return chain.from_iterable(new_boxes_per_branch)
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def __random_split(self, box):
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splitter = random.choice([self.__split_horizontal, self.__split_vertical])
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new_boxes = splitter(box)
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return new_boxes
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def __tree_recurse(self, boxes, step):
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return map(rpartial(self.__split_recursively, step + 1), boxes)
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def __split_horizontal(self, box):
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return self.__split_if_large_enough(HorizontalSplitMapper(box))
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def __split_vertical(self, box):
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return self.__split_if_large_enough(VerticalSplitMapper(box))
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def __split_if_large_enough(self, wrapped_box: SplitMapper):
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return (
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self.__get_child_boxes(wrapped_box)
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if self.__large_enough(wrapped_box)
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else self.__base_case(wrapped_box.wrapped)
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)
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def noise(self):
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return int(round(random.uniform(*self.__noise)))
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@staticmethod
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def __large_enough(wrapped_box: SplitMapper):
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return wrapped_box.dim >= 10
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def __get_child_boxes(self, wrapped_box: SplitMapper):
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split_len = random.randint(5, wrapped_box.dim - 5)
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split_point = wrapped_box.c1 + split_len
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box_left, box_right = juxt(deepcopy, deepcopy)(wrapped_box)
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noise = - self.noise()
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box_left.dim = split_len + noise
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box_right.dim = wrapped_box.dim - split_len
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box_left.c2 = split_point + noise
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box_right.c1 = split_point + self.noise()
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return box_left.wrapped, box_right.wrapped
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