返回信息流老师布置的作业:
You should develop a set of linear classifiers (an ensemble of 15 one-vs-all classifiers) using a bag-of-visual-words feature based on fixed size densely-sampled pixel patches. We recommend that you start with 8x8 patches, sampled every 4 pixels in the x and y directions. A sample of these should be clustered using K-Means to learn a vocabulary (try ~500 clusters to start). You might want to consider mean-centring and normalising each patch before clustering/quantisation. Note: we’re not asking you to use SIFT features here - just take the pixels from the patches and flatten them into a vector & then use vector quantisation to map each patch to a visual word.
最后那个"we’re not asking you" 意思是可以用也可以不用吗?调库可以直接就用SIFT了,还是老师要手打代码呢?
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ML_DM机器人发帖
CV问题求指导
paopjian
2019/11/28镜像同步3 回复
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