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refactor: extractor
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from .common import Extractor
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from .sizes import *
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import cv2
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from ..crop import crop_xywh
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from .sizes.common import Sizes
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class Extractor:
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sizes: Sizes
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def __init__(self, img: cv2.Mat, sizes: Sizes):
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self.img = img
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self.sizes = sizes
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def __construct_int_rect(self, rect):
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return tuple(round(r) for r in rect)
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@property
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def pure(self):
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return crop_xywh(self.img, self.__construct_int_rect(self.sizes.pure))
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@property
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def far(self):
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return crop_xywh(self.img, self.__construct_int_rect(self.sizes.far))
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@property
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def lost(self):
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return crop_xywh(self.img, self.__construct_int_rect(self.sizes.lost))
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@property
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def score(self):
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return crop_xywh(self.img, self.__construct_int_rect(self.sizes.score))
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@property
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def rating_class(self):
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return crop_xywh(self.img, self.__construct_int_rect(self.sizes.rating_class))
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@property
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def max_recall(self):
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return crop_xywh(self.img, self.__construct_int_rect(self.sizes.max_recall))
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@property
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def clear_status(self):
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return crop_xywh(self.img, self.__construct_int_rect(self.sizes.clear_status))
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@property
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def partner_icon(self):
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return crop_xywh(self.img, self.__construct_int_rect(self.sizes.partner_icon))
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