搜索资源列表
树莓派安装opencv完整教程
- 树莓派配置opencv3，已经配置成功，比网上的成功率高(The raspberry pie is configured with opencv3, which has been successfully configured, higher than the success rate on the Internet.)
SeamCarving
- 使用vs2015、opencv3.0对图像进行seamCarving算法运算(SeamCarving algorithm implement)
Chapter 5_Code
- opencv计算机视觉 基于python 第五章源码（完整）(Opencv3 computer vision is based on the source code of the third chapter of python (complete))
Chapter 6_Code
- opencv3计算机视觉基于python第六章代码（完整）(Opencv3 computer vision is based on the source code of the sixth chapter of python (complete))
Chapter 7_Code
- opencv3计算机视觉基于python第七章代码（完整）(Opencv3 computer vision is based on the source code of the seventh chapter of python (complete))
Chapter_8_Code
- opencv3计算机视觉基于python第八章代码（完整）(Opencv3 computer vision is based on the source code of the eighth chapter of python (complete))
Main
- 基于opencv3.0的实现人脸检测，供参考(Realization of face detection)
opencv-3.2.0
- opencv3.0源码，图形处理的好资料，值得学习、研究(Opencv3.0 source code, graphic processing of good information, worth learning, research)
Learning OpenCV 3 Computer vision in C++
- 学习Opencv3.0必备!有着丰富代码和说明!(Learning Opencv 3.0!Full of codes and demonstrations!)
opencv_test1
- opencv模糊测试，配置好后的模糊测试，配置好后的模糊测试配置好后的模糊测试(After installing the opencv3.4, and configuring a successful test program, a fuzzy test)
《学习opencv3.0》配套源码
- 《学习opencv》是一本实用性极强的关于计算机视觉图像处理的工具书，书中所有代码示例的源码都在此有。
face
- 系统介绍：基于树莓派官方系统stretch 系统，系统内安装了opencv3.3.0以及 tensorflow1.1.0 。人脸识别门禁的代码在里面目录/home/pi/face。内安装了深度学习的案例。 程序启动说明：开机前连接树莓派摄像头或网络USB摄像头，网络摄像头无需下面的设置。如使用树莓派摄像头则在终端输入 sudo nano /etc/modules-load.d/modules.conf 在最后添加一行添加 bcm2835-v4l2 ctrl+O回车保存 ctrl
OpenCV_3_Car_Counting_Cpp-master
- base opencv3 car counting source code
Surf_test
- 基于OpenCV3.0.0版本的SURF算法及程序测试(SURF algorithm and program testing based on OpenCV3.0.0 version)
14460660SIFT_area_match
- 实现SIFT区域匹配，在VS2014+opencv3.4版本下实现两张图片的特征匹配功能(Implement SIFT area matching)
venv
- OpenCv3.4+py3.4 实现特征点检测、匹配以及相机的标定(OpenCv3.4+py3.4 Realization of feature point detection, matching and camera calibration)
SURF_match
- opencv用surf实现特征匹配，vs2015,opencv3.4及以上版本可直接运行(Opencv+Surf+Feature match)
OpenCV3__SVM__HOG
- 目标识别，有着详细说明的代码，可以仔细阅读一下，OpenCV3，C++(Pedestrian recognition)
match
- opencv学习笔记，基于vs2013和opencv3.2的单图像模板匹配(Single image template matching)
License-Plate-Recognition-master
- 用python3+opencv3做的中国车牌识别，包括算法和客户端界面。(Chinese license plate recognition using python3+opencv3, including algorithm and client interface.)