A lightweight skew detection algorithm for spray code characters
Xiujing Fan,
Jialing Mo,
Deli Fu
et al.
Abstract:A lightweight and fast skew detection and recognition method is proposed to address low detection accuracy, slow speed, and the inability to detect skewed spray codes on complex background packaging. Built upon the YOLOv5-obb network, the approach utilizes the Ghost module to lightweight the backbone network, reducing parameters and computations. The introduction of the Slim-neck lightweight feature fusion network structure in the neck further simplifies the model while enhancing detection accuracy. SimAM is a… Show more
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