开发一种重新识别一个人的方法

Optoelectronic information-power technologies Pub Date : 2022-05-02 DOI:10.31649/1681-7893-2021-41-1-25-32

O. Kyrylenko

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引用次数: 0

摘要

对OSNet神经网络体系结构进行了综述，目的是为了训练自己的人再识别模型。同时还考虑了神经网络的结构。研究了用于模型训练的现有数据集。使用PyTorch训练模型。在验证数据库Market-1501和DukeMTMC-reID上对得到的模型进行了测试。给出了神经网络模型的学习结果。并与已有的类似物进行了比较。

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Development of a method of re-identification of a person

The review of OSNet neural network architecture is made for the purpose of training of own models of re-identification of the person. The structure of the neural network was also considered. Existing data sets for model training are investigated. Models were trained using PyTorch. The obtained own models were tested on the validation databases Market-1501 and DukeMTMC-reID. The results of learning neural network models are presented. The results are obtained in comparison with existing analogues.

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Optoelectronic information-power technologies

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