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#
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# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
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#
# http://www.apache.org/licenses/LICENSE-2.0
#
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from typing import Any, List, Tuple
import sys
matx = sys.modules['matx']
from .. import ASYNC, HistEqualizeOp
from ._base import BaseInterfaceClass, BatchRandomBaseClass
[文档]class RandomEqualize(BaseInterfaceClass):
[文档] def __init__(self,
p: float = 0.5,
device_id: int = -2,
sync: int = ASYNC) -> None:
self._p: float = p
super().__init__(device_id=device_id, sync=sync)
[文档] def __call__(self, device: Any, device_str: str, sync: int) -> Any:
return RandomEqualizeImpl(device, device_str, self._p, sync)
class RandomEqualizeImpl(BatchRandomBaseClass):
def __init__(self,
device: Any,
device_str: str,
p: float = 0.5,
sync: int = ASYNC) -> None:
self.device_str: str = device_str
self.p: float = p
self.sync: int = sync
super().__init__(prob=self.p)
self.op: HistEqualizeOp = HistEqualizeOp(device)
self.sync: int = sync
self.name: str = "RandomEqualize"
def _process(self, imgs: List[matx.NDArray]) -> List[matx.NDArray]:
return self.op(imgs, sync=self.sync)
def __repr__(self) -> str:
return self.name + \
'(p={}, device={}, sync={})'.format(self.p, self.device_str, self.sync)