retinaface
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41 lines
1.4 KiB
41 lines
1.4 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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import os
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import torch
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from towhee.models.retina_face.retinaface import RetinaFace
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from towhee.models.retina_face.configs import build_configs
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from towhee.models.utils.pretrained_utils import load_pretrained_weights
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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):
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model_name = 'cfg_mnet'
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cfg = build_configs(model_name)
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self._model = RetinaFace(cfg=cfg, phase='test')
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load_pretrained_weights(self._model, 'mnet', None, os.path.dirname(__file__) + '/pytorch_retinaface_mobilenet_widerface.pth')
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self._model.eval()
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def __call__(self, img_tensor: torch.Tensor):
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outputs = self._model.inference(img_tensor)
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return outputs
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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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