很好用的库:VLFEAT Hanson

2010年6月17日 忙菇 发表评论 阅读评论

 

怎么让作研究简化呢?

偷懒!

怎么偷懒呢?

用库!

所以推荐个库

http://www.vlfeat.org/

有这些东西:

• The VLFeat library

- SIFT example (vl_sift)

• Caltech-101running example

• Visual descriptors

- PHOW feature (fast dense SIFT, vl_phow)

- Vector Quantization (Elkan, vl_kmeans, vl_kdtreebuild,

vl_kdtreequery)

- Spatial histograms (vl_binsum, vl_binsearch)

• Learning and classification

- Fast linear SVMs

- PEGASOS (vl_pegasos)

- Fast non-linear SVMs

- Homogeneous kernel maps (vl_homkermap)

• Other VLFeat features

• The VLFeat library- SIFT example (vl_sift)• Caltech-101 running example• Visual descriptors- PHOW feature (fast dense SIFT, vl_phow)- Vector Quantization (Elkan, vl_kmeans, vl_kdtreebuild,vl_kdtreequery)- Spatial histograms (vl_binsum, vl_binsearch)• Learning and classification- Fast linear SVMs- PEGASOS (vl_pegasos)- Fast non-linear SVMs- Homogeneous kernel maps (vl_homkermap)• Other VLFeat features

做识别阿,分类阿的同志要看下

还是GPL

还支持MAC\WINDOWS\LINUX

加州理工真不简单,101就这样了…..

Caltech-101是一个dataset …….

感谢匿名同学的修正：

纠正一下，这个库是UCLA毕业的 Andrea Vedaldi 开发的，现在在Oxford 。