bow的python实现
DBow_Python是DBow的python精简版。
生成的字典文件能直接用于orb slam2中。
创建视觉词典就是为了比较两幅图像之间的相似度，只是采用bow模型，降低复杂度而已。每幅图像可以用视觉词典中的单词向量表示，再计算向量之间的余弦相似度。在字典树中，叶子节点就是单词，比如创建5，3的树，就会有K**L个单词，一幅图像就可以表示为125维向量。
结果如下：
如果我需要用自己的程序,我改修该程序中的哪些地方呢?非常感谢作者的回答
最近在学习这个，在使用这个代码时发现Voc tree那个py文件存在问题，但是一直改不好，如果可以的话方便邮箱联系吗，我的邮箱是[email protected]
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