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https://github.com/iperov/DeepFaceLive.git
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81 lines
2.6 KiB
Python
81 lines
2.6 KiB
Python
import uuid
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from typing import Union
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import numpy as np
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from .IState import IState
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class UImage(IState):
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def __init__(self):
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"""
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represents uncompressed image uint8 HWC ( 1/3/4 channels )
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"""
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self._uuid : Union[bytes, None] = None
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self._name : Union[str, None] = None
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self._image : np.ndarray = None
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def __str__(self): return f"UImage UUID:[...{self.get_uuid()[-4:].hex()}] name:[{self._name}] image:[{ (self._image.shape, self._image.dtype) if self._image is not None else None}]"
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def __repr__(self): return self.__str__()
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@staticmethod
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def from_state(state : dict) -> 'UImage':
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ufm = UImage()
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ufm.restore_state(state)
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return ufm
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def restore_state(self, state : dict):
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self._uuid = state.get('_uuid', None)
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self._name = state.get('_name', None)
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self._image = state.get('_image', None)
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def dump_state(self, exclude_image=False) -> dict:
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d = {'_uuid' : self._uuid,
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'_name' : self._name,
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}
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if not exclude_image:
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d['_image'] = self._image
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return d
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def get_uuid(self) -> Union[bytes, None]:
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if self._uuid is None:
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self._uuid = uuid.uuid4().bytes
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return self._uuid
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def set_uuid(self, uuid : Union[bytes, None]):
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if uuid is not None and not isinstance(uuid, bytes):
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raise ValueError(f'uuid must be an instance of bytes or None')
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self._uuid = uuid
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def get_name(self) -> Union[str, None]: return self._name
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def set_name(self, name : Union[str, None]):
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if name is not None and not isinstance(name, str):
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raise ValueError(f'name must be an instance of str or None')
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self._name = name
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def get_image(self) -> Union[np.ndarray, None]: return self._image
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def assign_image(self, image : Union[np.ndarray, None]):
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"""
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assign np.ndarray image , or remove(None)
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It's mean you should not to change provided image nd.array after assigning, or do the copy before.
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Image must be uint8 and HWC 1/3/4 channels.
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"""
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if image is not None:
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if image.ndim == 2:
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image = image[...,None]
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if image.ndim != 3:
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raise ValueError('image must have ndim == 3')
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_,_,C = image.shape
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if C not in [1,3,4]:
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raise ValueError('image channels must be 1,3,4')
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if image.dtype != np.uint8:
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raise ValueError('image dtype must be uint8')
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self._image = image
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