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flip.py
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flip.py
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# Copyright 2019 The FastEstimator Authors. All Rights Reserved.
#
# Licensed 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 "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
from typing import Iterable, Optional, Union
from albumentations import BboxParams, KeypointParams
from albumentations.augmentations.geometric.transforms import Flip as FlipAlb
from fastestimator.op.numpyop.multivariate.multivariate import MultiVariateAlbumentation
from fastestimator.util.traceability_util import traceable
@traceable()
class Flip(MultiVariateAlbumentation):
"""Flip an image either horizontally, vertically, or both.
Args:
mode: What mode(s) to execute this Op in. For example, "train", "eval", "test", or "infer". To execute
regardless of mode, pass None. To execute in all modes except for a particular one, you can pass an argument
like "!infer" or "!train".
ds_id: What dataset id(s) to execute this Op in. To execute regardless of ds_id, pass None. To execute in all
ds_ids except for a particular one, you can pass an argument like "!ds1".
image_in: The key of an image to be modified.
mask_in: The key of a mask to be modified (with the same random factors as the image).
masks_in: The key of masks to be modified (with the same random factors as the image).
bbox_in: The key of a bounding box(es) to be modified (with the same random factors as the image).
keypoints_in: The key of keypoints to be modified (with the same random factors as the image).
image_out: The key to write the modified image (defaults to `image_in` if None).
mask_out: The key to write the modified mask (defaults to `mask_in` if None).
masks_out: The key to write the modified masks (defaults to `masks_in` if None).
bbox_out: The key to write the modified bounding box(es) (defaults to `bbox_in` if None).
keypoints_out: The key to write the modified keypoints (defaults to `keypoints_in` if None).
bbox_params: Parameters defining the type of bounding box ('coco', 'pascal_voc', 'albumentations' or 'yolo').
keypoint_params: Parameters defining the type of keypoints ('xy', 'yx', 'xya', 'xys', 'xyas', 'xysa').
Image types:
uint8, float32
"""
def __init__(self,
mode: Union[None, str, Iterable[str]] = None,
ds_id: Union[None, str, Iterable[str]] = None,
image_in: Optional[str] = None,
mask_in: Optional[str] = None,
masks_in: Optional[str] = None,
bbox_in: Optional[str] = None,
keypoints_in: Optional[str] = None,
image_out: Optional[str] = None,
mask_out: Optional[str] = None,
masks_out: Optional[str] = None,
bbox_out: Optional[str] = None,
keypoints_out: Optional[str] = None,
bbox_params: Union[BboxParams, str, None] = None,
keypoint_params: Union[KeypointParams, str, None] = None):
super().__init__(FlipAlb(always_apply=True),
image_in=image_in,
mask_in=mask_in,
masks_in=masks_in,
bbox_in=bbox_in,
keypoints_in=keypoints_in,
image_out=image_out,
mask_out=mask_out,
masks_out=masks_out,
bbox_out=bbox_out,
keypoints_out=keypoints_out,
bbox_params=bbox_params,
keypoint_params=keypoint_params,
mode=mode,
ds_id=ds_id)