搜索资源列表
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.)
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)
edge_based_matching
- 边缘检测，形状匹配，opencv编写的，opencv3.0以上版本及其第三方库，，，，，，，，，，，(edge_based_matching,the mask width and height must be (approximately) set according to the size)
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)
mnist_test_opencv
- 利用opencv的ML-SVM，进行·mnist数据集的训练分类。 同时包含该数据集的读取(use opencv's ML-SVM to carry out training classification of MNIST dataset. Including the reading of the data set)
sift
- 利用python3.6+opencv3实现sift(use python3.6+opencv3 relised sift)
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)
Camshift
- 平台VS2015+opencv3，进行Camshift视觉跟踪(By VS2015+opencv3,with camshift to object tracking)
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)