资源列表
learningOpenCV(Chinese)
- 学习opencv中文版，虽然有些地方不如人意，但凑合可以用-Learning opencv Chinese, can make do
learning-OpenCV
- OpenCV 是图像处理的重要工具，里面详细描述了各种图像处理的算法-OpenCV is an important tool for image processing, which describes in detail the various image processing algorithms
HTK-3.4.1
- HTK 3.4.1 源代码，及在64位windows上编译出的可执行文件，已用官方samples测试过，samples的源代码也放在压缩包里了-HTK 3.4.1 source code, and in 64 out of the windows on the compiled executable file, used official samples tested, samples of the source code is also placed in a compression bag
OpenCV
- 一本学习opencv的书，中文版的，希望大家能用的到啊-A learning opencv, the Chinese version of the hope that we can use to
Learning-OpenCV
- 学习OpenCV的必备工具，中文版的，便于英语不灵的同学查阅相关的代码和函数，学会这本书就是OpenCV高手了-Learning OpenCV an essential tool, the Chinese version, English uninformed students easily access related code and functions, this book is to learn to master the OpenCV
Learn-OpenCV(Chinese-Version)
- This is a Chinese version for the book learning OpenCV. This is a classic book for the people who uses openCV
opencv
- learning opencv 的中文版，不可多得的资源，opencv是个强大的图形图像视频处理库，对于相关专业的人有很大的帮助-learning opencv the Chinese version, rare resources, opencv is a powerful graphic image video processing library for the relevant professional person of great help
OpenCV-chinese-version
- OpenCv中文版学习资料，最新版本。需要的可以-OpenCv Chinese version of the learning materials, the latest version. Need to look at
978-7-122-06061-7
- 本书内容深入浅出、图文并茂、理论与实训紧密结合，各章之间既相互联系又相对独立，读者可根据需要选择阅读。本书每章内容都包括两部分，一部分为理论讲解，以丰富多样的实例作为支撑；另一部分为与理论部分配套的MATLAB仿真实训，本部分与理论部分前后呼应，同时密切结合生产实践。-The Guide book illustrations, theory and practical training closely, both among the various chapters of interconne
NK_sj
- 立宇泰的ARM9YP2440开发板的映象文件，WINCE2.4版本。另外还有本相对印的电子稿手册
Learning-OpenCV-(Chinese).-Pdf
- 学习OpenCV(中文版).pdf 学习OpenCV(中文版).pdf-Learning OpenCV (Chinese version). Pdf Learning OpenCV (Chinese version). Pdf
opencv-ebook
- 学习OpenCV（中文版）计算机_人工智能_综合作者：(美)Gary Bradski Adrian Kaehler 计算机视觉是在图像处理的基础上发展起来的新兴学科。-Learning OpenCV (Chinese version) integrated computer _ _ Artificial Intelligence Author: (United States) Gary Bradski Adrian Kaehler image processing, computer visi