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Specialized RPN architectures used for fast and accurate object localization in tracking tasks.
Distinct from Region Proposal Networks: Focuses on the Siamese variant of RPNs for tracking rather than general RPN configurations for detection.
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pysot 是一个专为单目标跟踪设计的计算机视觉框架。它提供了一个平台,用于实现和评估在视频帧序列中定位和跟随特定目标对象的算法。 该项目包括基于区域建议网络(RPN)的 SiamRPN 定位架构实现,以及结合了跟踪与二进制掩码生成的 SiamMask 模型,以提供对象的像素级分割。 该框架还包含一个视觉跟踪评估工具包,用于根据行业标准数据集衡量跟踪算法的准确性和可靠性。
Implements a specialized architecture based on Siamese Region Proposal Networks for fast object localization.