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基于opencv-python的sift、kmeans、bow图像检索

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bag-of-words-

基于opencv-python的sift、kmeans、bow图像检索 需要配置opencv、sklearn、scipy、numpy

创建两个文件夹就行

默认图像训练文件名为dataset 我用的是101_ObjectCategories图片集 所以在读入图片时做了更改

默认查找图像文件名为query

用命令行执行python findFeatures.py -t dataset/ 开始生成模型

用命令行执行python search.py -i query/target.jpg 查找目标图片

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