towhee
/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Readme
Files and versions
35 lines
1.3 KiB
35 lines
1.3 KiB
# Copyright 2021 Zilliz. 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 NamedTuple, Union
|
|
from towhee.operator import Operator
|
|
|
|
|
|
class TransformImageOperatorTemplate(Operator):
|
|
"""
|
|
Transform an image (resize, crop, normalize, etc...)
|
|
|
|
Args:
|
|
size (`int`):
|
|
Image size to use. A resize to `size x size` followed by center crop and
|
|
image normalization will be done.
|
|
"""
|
|
def __init__(self, size: int) -> None:
|
|
super().__init__()
|
|
#user defined initialization
|
|
|
|
def __call__(self, img_path: Union[Image.Image, torch.Tensor, str]) -> NamedTuple('Outputs', [('img_transformed', torch.Tensor)]):
|
|
results = #user defined function: get the transformed image
|
|
Outputs = NamedTuple('Outputs', [('img_transformed', torch.Tensor)])
|
|
return Outputs(results)
|