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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/47612
Title: Object detection on images based on YOLOX
Authors: Gao Haoxuan
Keywords: материалы конференций
object detection
image preprocessing
model inference
NMS algorithm
Issue Date: 2022
Publisher: БГУИР
Citation: Gao 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.
Abstract: The 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.
URI: https://libeldoc.bsuir.by/handle/123456789/47612
Appears in Collections:Инфокоммуникации : материалы 58-й научной конференции аспирантов, магистрантов и студентов (2022)

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