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41 lines
1.5 KiB
41 lines
1.5 KiB
# 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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import paddle |
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import paddle.nn as nn |
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from paddle.nn.initializer import Constant |
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from paddlers.models.ppdet.core.workspace import register |
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__all__ = ['FairMOTLoss'] |
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@register |
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class FairMOTLoss(nn.Layer): |
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def __init__(self): |
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super(FairMOTLoss, self).__init__() |
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self.det_weight = self.create_parameter( |
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shape=[1], default_initializer=Constant(-1.85)) |
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self.reid_weight = self.create_parameter( |
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shape=[1], default_initializer=Constant(-1.05)) |
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def forward(self, det_loss, reid_loss): |
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loss = paddle.exp(-self.det_weight) * det_loss + paddle.exp( |
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-self.reid_weight) * reid_loss + (self.det_weight + self.reid_weight |
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) |
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loss *= 0.5 |
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return {'loss': loss}
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