Розробка методу повторної ідентифікації людини
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 m...
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| Date: | 2022 |
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| Main Author: | |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
Vinnytsia National Technical University
2022
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| Subjects: | |
| Online Access: | https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/588 |
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| Journal Title: | Optoelectronic Information-Power Technologies |
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Optoelectronic Information-Power Technologies| Summary: | 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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