data2vec
copied
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
38 lines
1.5 KiB
38 lines
1.5 KiB
3 years ago
|
# 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.
|
||
|
|
import numpy
|
||
|
|
import torch
|
||
|
|
import towhee
|
||
|
|
|
||
|
|
from PIL import Image as PILImage
|
||
|
|
|
||
|
|
from transformers import BeitFeatureExtractor, Data2VecVisionForImageClassification
|
||
|
|
from towhee.operator.base import NNOperator
|
||
|
|
from towhee.types.arg import arg, to_image_color
|
||
|
|
|
||
|
|
class Data2VecVision(NNOperator):
|
||
|
|
def __init__(self, model_name='facebook/data2vec-vision-base'):
|
||
|
|
self.model = Data2VecVisionForImageClassification.from_pretrained(model_name)
|
||
|
|
self.feature_extractor = BeitFeatureExtractor.from_pretrained(model_name)
|
||
|
|
|
||
|
|
@arg(1, to_image_color('RGB'))
|
||
|
|
def __call__(self, img: towhee._types.Image) -> numpy.ndarray:
|
||
|
|
img = PILImage.fromarray(img.astype('uint8'), 'RGB')
|
||
|
|
inputs = self.feature_extractor(img, return_tensors="pt")
|
||
|
|
with torch.no_grad():
|
||
|
|
outputs = self.model.data2vec_vision(**inputs).pooler_output
|
||
|
|
|
||
|
|
return outputs.detach().cpu().numpy().flatten()
|
||
|
|
|