towhee
/
vit-image-embedding
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40 lines
1.2 KiB
40 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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import torch
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import timm
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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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if weights_path:
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self._model = timm.create_model(model_name, checkpoint_path=weights_path, num_classes=0)
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else:
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self._model = timm.create_model(model_name, pretrained=True, num_classes=0)
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self._model.eval()
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def __call__(self, img_tensor: torch.Tensor):
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return self._model(img_tensor)
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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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