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https://github.com/13hannes11/situr.git
synced 2024-09-03 20:50:58 +02:00
add type hints to tile
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@@ -1,8 +1,11 @@
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from situr.transformation.round_transformation import RoundTransform
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import numpy as np
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import numpy as np
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from situr.image.situ_image import SituImage
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from situr.image.situ_image import SituImage
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from situr.transformation import IdentityRoundTransform
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from situr.transformation import IdentityRoundTransform
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from typing import List
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class Tile:
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class Tile:
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'''
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'''
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@@ -13,7 +16,7 @@ class Tile:
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X 2048
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X 2048
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'''
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'''
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def __init__(self, file_list, nucleaus_channel=4):
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def __init__(self, file_list: List[List[List[str]]], nucleaus_channel: int = 4):
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self.images = []
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self.images = []
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self.round_transformations = []
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self.round_transformations = []
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for situ_image_list in file_list:
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for situ_image_list in file_list:
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@@ -33,35 +36,31 @@ class Tile:
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# TODO: implement
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# TODO: implement
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pass
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pass
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def get_image_round(self, round):
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def set_round_transformation(self, round, transformation: RoundTransform):
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return self.images[round]
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def set_round_transformation(self, round, transformation):
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self.round_transformations[round] = transformation
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self.round_transformations[round] = transformation
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def get_round_count(self):
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def get_round_count(self) -> int:
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return len(self.images)
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return len(self.images)
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def get_channel_count(self):
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def get_channel_count(self) -> int:
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return self.images[0].get_channel_count()
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return self.images[0].get_channel_count()
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def get_round(self, round_number):
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def get_round(self, round_number: int) -> SituImage:
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"""This
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"""This methods returns the round based on round number
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Args:
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Args:
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round_number (integer): The round number starting with 0
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round_number (int): The round number (starting with index 0)
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Returns:
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Returns:
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SituImage: The image corresponding to the requested round number.
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SituImage: The image corresponding to the requested round number.
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"""
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"""
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return self.images[id]
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return self.images[round_number]
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def to_numpy_array(self):
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def to_numpy_array(self) -> np.ndarray:
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tmp_list = []
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tmp_list = []
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for image in self.images:
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for image in self.images:
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tmp_list.append(image.get_data())
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tmp_list.append(image.get_data())
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return np.array(tmp_list)
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return np.array(tmp_list)
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def get_channel(self, round, channel, focus_level=0):
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def get_channel(self, round: int, channel: int, focus_level: int = 0) -> np.ndarray:
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return self.images[round].get_channel(channel, focus_level=focus_level)
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return self.images[round].get_channel(channel, focus_level=focus_level)
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