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Abstract
This article is devoted to the study of the accuracy of MobileNet V1 and MobileNet V2 models when recognizing pedestrians at different times of the year, with changing distance and position. According to the test results, the pros and cons of the models were identified, as well as their capabilities and dependencies. Models were compared directly to each other. All studies were performed on an NVIDIA Jetson Nano microcomputer.
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Details
1 Department of Television and Control, Tomsk State University of Control Systems and Radioelectronics , 40, prospect Lenina, 634050, Tomsk , Russia