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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/47612
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dc.contributor.authorGao Haoxuan-
dc.date.accessioned2022-06-23T10:13:30Z-
dc.date.available2022-06-23T10:13:30Z-
dc.date.issued2022-
dc.identifier.citationGao Haoxuan. Object detection on images based on YOLOX / Gao Haoxuan // Инфокоммуникации : сборник тезисов докладов 58-ой научной конференции аспирантов, магистрантов и студентов, Минск, 18–22 апреля 2022 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск : БГУИР, 2022. – С. 182–187.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/47612-
dc.description.abstractThe article presents a method of image object detection based on YOLOX. It is shown that how to use the YOLOX model for inference to complete target detection, including image preprocessing, decode outputs of model and NMS algorithm. The test results show that the method can be applied to Android system and client-server scenario.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectobject detectionru_RU
dc.subjectimage preprocessingru_RU
dc.subjectmodel inferenceru_RU
dc.subjectNMS algorithmru_RU
dc.titleObject detection on images based on YOLOXru_RU
dc.typeСтатьяru_RU
Appears in Collections:Инфокоммуникации : материалы 58-й научной конференции аспирантов, магистрантов и студентов (2022)

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