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SSD是一种非常优秀的one-stage目标检测方法,其主要思路是利用CNN提取特征后,均匀地在图片的不同位置进行密集抽样,抽样时可以采用不同尺度和长宽比,物体分类与预测框的回归同时进行,整个过程只需要一步,所以其优势是速度快。该项目采用的主网络是mobilenetV2,且利用了FPNlite的结构。

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