towhee
/
resnet-image-embedding
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38 lines
1.2 KiB
38 lines
1.2 KiB
3 years ago
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# Copyright 2021 Zilliz. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import NamedTuple
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import numpy
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import torch
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import torchvision
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from towhee.operator import Operator
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from pytorch.resnet50 import Resnet50
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class Resnet50ImageEmbedding(Operator):
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"""
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PyTorch model for image embedding.
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"""
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def __init__(self, model_name: str) -> None:
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super().__init__()
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resnet50_image_embedding = Resnet50(model_name)
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self._model = resnet50_image_embedding.load_model()
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def __call__(self, img_tensor: torch.Tensor) -> NamedTuple('Outputs', [('cnn', numpy.ndarray)]):
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Outputs = NamedTuple('Outputs', [('cnn', numpy.ndarray)])
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return Outputs(self._model(img_tensor).detach().numpy())
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