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fu kanglong's Projects

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithmdiagram icon algorithmdiagram

算法图解的算法代码示例,用Python和Java实现,后期会加入其它语言

cppprimer icon cppprimer

:books: Solutions for C++ Primer 5th exercises.

cs231n icon cs231n

斯坦福 cs231n 作业代码实践

gn-lm-dogleg-solver icon gn-lm-dogleg-solver

Personal implementation of Gauss-Newton, Lenvenberg-Marquardt and Dog-Leg algorithm.

hosts icon hosts

:statue_of_liberty:最新可用的google hosts文件。国内镜像:

hosts-1 icon hosts-1

镜像:https://coding.net/u/scaffrey/p/hosts/git

image-matching-and-ranging-based-on-binocular-stereo-vision icon image-matching-and-ranging-based-on-binocular-stereo-vision

双目立体视觉是计算机视觉范畴的核心之一,它利用双目相机来获得目标物体的图像,经过物体图像处理 之后得到目标物体所在场景环境的三维信息,最终实现非接触条件下测距,简单便捷。本次毕业设计主要内容为研究 基于双目立体视觉平台上的图像匹配以及目标物体的距离测量技术,图像特征提取部分研究了 SIFT 算法和 SURF 算 法,特征匹配部分研究了 BF 法和 FLANN 法,距离测量研究主要通过视差深度的计算,结合视觉坐标系的转换实现 三维位置的定位与测量。结合维视双目立体视觉测量平台 MV-VS220,通过 Python+OpenCV 设计实现一个具备图像 采集、图像匹配以及距离测量等功能的原型演示系统。系统可实现对关键环节的过程与结果的演示,以及不同算法的 性能比较。系统测试表明,所开发的原型演示系统从界面、功能与性能方面均达到了设计的要求。

kaggle icon kaggle

Kaggle 项目实战(教程) = 文档 + 代码 + 视频(欢迎参与)

kdtree icon kdtree

A Python implementation of a kd-tree

opencv icon opencv

Open Source Computer Vision Library

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