towhee
/
efficientnet-image-embedding
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42 lines
1.3 KiB
42 lines
1.3 KiB
# 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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from efficientnet_pytorch import EfficientNet
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class Model():
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"""
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PyTorch model class
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"""
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def __init__(self, model_name: str, weights_path: str):
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super().__init__()
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self._model = EfficientNet.from_pretrained(model_name=model_name, weights_path=weights_path)
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self._avg_pooling = torch.nn.AdaptiveAvgPool2d((1, 1))
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self._model.eval()
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def __call__(self, img_tensor: torch.Tensor):
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features = self._model.extract_features(img_tensor)
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channels = features.shape[0]
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return self._avg_pooling(features).view(channels, -1).detach().numpy()
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def train(self):
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"""
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For training model
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"""
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pass
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