搜索资源列表
vgg_generated.tar
- opencv3.2.0手动下载包括 vgg_generated_120.i vgg_generated_64.i vgg_generated_48.i(opencv3.2.0 vgg_generated_120.i vgg_generated_64.i vgg_generated_48.i)
Camshift
- VS2013结合OpenCV3.2.0，运用Camshift算法对视频中的彩色物体进行跟踪(VS2013 combined with OpenCV3.2.0 and uses Camshift algorithm to track color objects in video)
opencv3.2_SIFT+flann
- 本程序用于图像拼接，使用了SIFT特征点匹配，加上了加权融合算法去除了明暗接缝(This program is used for image stitching, using SIFT feature point matching and adding a weighted fusion algorithm to remove the bright and dark seams)
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 3_Code
- opencv3计算机视觉基于python 第三章源码（完整）(Opencv3 computer vision is based on the source code of the third chapter of python (complete))
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)
SequentialSfM
- SFM实现双目三维重建 使用的OpenCV3.2+VS2017(SFM realization of binocular 3D reconstruction)
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_Demo
- 利用opencv3实现光流法追踪运动目标(Tracking motion targets by optical flow method)
OpenCV_3_Car_Counting_Cpp-master
- base opencv3 car counting source code
deep-learning-opencv
- opencv3.3以上的版本调用caffe模型提前训练好的模型进行图片识别。(The above version of opencv3.3 calls the Caffe model in advance training model for image recognition.)