72 lines
1.2 KiB
Python
72 lines
1.2 KiB
Python
from argparse import Namespace
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from ml_lib.utils.config import Config
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class DataClass(Namespace):
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def __len__(self):
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return len(self.__dict__())
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def __dict__(self):
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return {key: val for key, val in self.__class__.__dict__.items() if '__' not in key}
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def items(self):
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return self.__dict__().items()
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def __repr__(self):
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return f'{self.__class__.__name__}({self.__dict__().__repr__()})'
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def __getitem__(self, item):
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return self.__getattribute__(item)
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class Classes(DataClass):
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# Object Classes for Point Segmentation
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Sphere = 0
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Cylinder = 1
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Cone = 2
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Box = 3
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Polytope = 4
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Torus = 5
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Plane = 6
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class Settings(DataClass):
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P2G = 'grid'
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P2P = 'prim'
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PN2 = 'pc'
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class DataSplit(DataClass):
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# DATA SPLIT OPTIONS
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train = 'train'
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devel = 'devel'
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test = 'test'
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class GlobalVar(DataClass):
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# Variables for plotting
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PADDING = 0.25
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DPI = 50
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data_split = DataSplit()
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classes = Classes()
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grid_count = 12
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prim_count = -1
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settings = Settings()
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from models import *
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class ThisConfig(Config):
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@property
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def _model_map(self):
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return dict(PN2=PointNet2, P2P=PointNet2PrimClusters, P2G=PointNet2GridClusters)
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