# Copyright 2022 ByteDance Ltd. and/or its affiliates.
#
# Licensed to the Apache Software Foundation (ASF) under one
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# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
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from typing import Any, Dict, List
import sys
matx = sys.modules['matx']
from .. import ASYNC, HORIZONTAL_FLIP, VERTICAL_FLIP, FlipOp
from ._base import BaseInterfaceClass, BatchRandomBaseClass
[文档]class RandomHorizontalFlip(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 RandomHorizontalFlipImpl(device, device_str, self._p, sync)
class RandomHorizontalFlipImpl(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)
flip_code: int = HORIZONTAL_FLIP
self.op: FlipOp = FlipOp(device, flip_code)
self.name: str = "RandomHorizontalFlip"
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)
[文档]class RandomVerticalFlip(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 RandomVerticalFlipImpl(device, device_str, self._p, sync)
class RandomVerticalFlipImpl(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)
flip_code: int = VERTICAL_FLIP
self.op: FlipOp = FlipOp(device, flip_code)
self.name: str = "RandomVerticalFlip"
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)