84 lines
2.3 KiB
Python
84 lines
2.3 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. 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 __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from ppdet.core.workspace import register, create
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from .meta_arch import BaseArch
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__all__ = ['ByteTrack']
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@register
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class ByteTrack(BaseArch):
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"""
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ByteTrack network, see https://arxiv.org/abs/2110.06864
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Args:
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detector (object): detector model instance
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reid (object): reid model instance, default None
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tracker (object): tracker instance
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"""
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__category__ = 'architecture'
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def __init__(self,
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detector='YOLOX',
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reid=None,
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tracker='JDETracker'):
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super(ByteTrack, self).__init__()
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self.detector = detector
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self.reid = reid
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self.tracker = tracker
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@classmethod
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def from_config(cls, cfg, *args, **kwargs):
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detector = create(cfg['detector'])
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if cfg['reid'] != 'None':
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reid = create(cfg['reid'])
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else:
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reid = None
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tracker = create(cfg['tracker'])
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return {
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"detector": detector,
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"reid": reid,
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"tracker": tracker,
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}
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def _forward(self):
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det_outs = self.detector(self.inputs)
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if self.training:
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return det_outs
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else:
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if self.reid is not None:
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assert 'crops' in self.inputs
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crops = self.inputs['crops']
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pred_embs = self.reid(crops)
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else:
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pred_embs = None
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det_outs['embeddings'] = pred_embs
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return det_outs
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def get_loss(self):
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return self._forward()
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def get_pred(self):
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return self._forward()
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