willard-yuan / Cvtk
CVTK, a Computer Vision ToolKit.
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CVTK简介
CVTK, a Computer Vision ToolKit. CVTK以个人计算机视觉实践经验为基础，旨在构建高效的计算机视觉常用工具集。
CVTK应用
HNSW SIFTs Retrieval
一个已直接索引SIFT并通过SIFT匹配点数排序的检索应用，在使用SIFT点数排序的时候，对SIFT匹配的点数做了弱几何校验，剔除误匹配的点数。详细在doc里有说明。
Correspondence Matching
局部特征匹配是研究了十几年的课题，目前比较主流且常用的方法除了曾在博客SIFT Matching with RANSAC介绍过最近邻/次近邻、RANSAC及其变种方式外，还有霍夫投票、以及基于运动估计的GMS-Feature-Matcher。SVF算法是一种基于霍夫投票的误匹配点剔除方法，实际应用测试，具有很强的鲁棒性。
Covdet
C++ API for covdet of VLFeat，read doc in details。
PCA Train_and Project
详细在doc有说明。
Brute Force Search
大规模最近邻暴力搜索C++实现。
TensorFlow Extract Feature with CPP API
TensorFlow载入PB模型，提取特征代码，C++实现。
LibTorch Extract Feature with CPP API
Libtorch载入pt模型，提取特征代码（改成分类等类似），C++实现。
int8_quantization
标量量化，用于排序上需要获取topK的embedding的场景。
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