搜索资源列表
retina
- Retina特征点检测，对于opencv学习者而言是很好的饿得学习程序-Retina feature point detection, for opencv learners is a very good learning process hungry
tuxiangfangwenduibiduzengqiang
- 使用opencv进行图像处理，自己编写，结合四种不同的访问像素去操作，同时改变图像的对比度，最后显示每种方式的运行时间，是一个进阶的学习- Using opencv image processing, their preparation, combined with access to four different pixels to operate while changing the contrast of the image displayed last time each mode
test2
- opencv初学者代码，用于最基本的opencv学习。-Opencv beginner code for the most basic opencv learning
Image-texture-analysis
- 图像的纹理分析及应用实例，仅作为学习参考作用，需C++、opencv支持-Image texture analysis and application examples, only as a learning reference, the need to C++, opencv support
opencvjiaocheng
- 本资料为opencv的学习资料，适合刚接触oencv的人使用。-This information for the opencv learning materials, suitable for people who have just contact oencv use.
edge
- 基于opencv的图像边缘检测程序，非常好用，值得借鉴-Based on opencv image edge detection procedures, very easy to use, worth learning
opencv_sfm_viewer_1_0
- 基于opencv和opengl的三维重建的代码，适合学习和借鉴。-Code-based three-dimensional reconstruction of opengl and opencv for learning and reference.
text
- 调取摄像头。用opencv。代码简单易懂，欢迎下载学习(Camera retrieval. Using opencv. Code is easy to understand, welcome to download learning)
Bilateral Filtering refe
- 双边滤波学习资料汇总。包括原理文档和opencv源码(Bilateral filtering learning data aggregation)
OpenCV_By_Example(中文版)
- 该资料中包含了《OpenCV By Example》中文版以及例程程序，该书的目录如下所示： 第1章 OpenCV的探险之旅; 第2章 OpenCV基础知识介绍; 第3章 图形用户界面和基本滤波; 第4章 深入研究直方图和滤波器; 第5章 自动光学检测、目标分割和检测; 第6章 学习目标分类; 第7章 识别人脸部分并覆盖面具; 第8章 视频监控、背景建模和形态学操作; 第9章 学习对象跟踪; 第10章 文本识别中的分割算法; 第11章 使用Tessera
real_time_object_detection.py
- 动态识别，深度学习和OpenCV的实时对象检测。作者 Adrian Rosebrock(https://www.pyimagesearch.com/2017/09/18/real-time-object-detection-with-deep-learning-and-opencv/)