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32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
# encoding: utf-8
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"""
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@authorr: liaoxingyu
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@contact: sherlockliao01@gmail.com
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"""
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from fastreid.modeling.losses import *
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from fastreid.modeling.meta_arch import Baseline
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from fastreid.modeling.meta_arch.build import META_ARCH_REGISTRY
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@META_ARCH_REGISTRY.register()
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class PartialBaseline(Baseline):
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def losses(self, outputs, gt_labels):
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cls_outputs, fore_cls_outputs, pred_class_logits, global_feat, fore_feat = outputs
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loss_dict = {}
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loss_names = self._cfg.MODEL.LOSSES.NAME
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# Log prediction accuracy
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CrossEntropyLoss.log_accuracy(pred_class_logits, gt_labels)
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if "CrossEntropyLoss" in loss_names:
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loss_dict['loss_avg_branch_cls'] = CrossEntropyLoss(self._cfg)(cls_outputs, gt_labels)
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loss_dict['loss_fore_branch_cls'] = CrossEntropyLoss(self._cfg)(fore_cls_outputs, gt_labels)
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if "TripletLoss" in loss_names:
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loss_dict['loss_avg_branch_triplet'] = TripletLoss(self._cfg)(global_feat, gt_labels)
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loss_dict['loss_fore_branch_triplet'] = TripletLoss(self._cfg)(fore_feat, gt_labels)
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return loss_dict
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