Learning OpenCV: Computer Vision with the OpenCV Library download
Par cisneros paul le dimanche, août 21 2016, 07:16 - Lien permanent
Learning OpenCV: Computer Vision with the OpenCV Library by Gary Bradski, Adrian Kaehler
Learning OpenCV: Computer Vision with the OpenCV Library Gary Bradski, Adrian Kaehler ebook
Page: 571
Publisher: O'Reilly Media
Format: pdf
ISBN: 0596516134, 9780596516130
By haidersabri on April 8, I am a total beginner to the field, but some folks in the field directed me to OpenCV as a good starting point to learning what can be done. ǿ�OpenCV的网站，发现这个月新出了一本书《Mastering OpenCV with Practical Computer Vision. Few days ago I went into searching for a good way to make a simple computer vision system. Because computer vision and machine learning go hand-in- hand, OpenCV also contains a full, general-purpose Machine Learning Library (MLL). This sublibrary is focused on statistical pattern recognition and clustering. For example, you could read the “Learning OpenCV” book and/or the “OpenCV 2 Cookbook” to learn the basics of OpenCV, then read this “ Mastering OpenCV” book for more advanced skills and project ideas! ň�类: 新闻 标签: 评论(11) Trackbacks (1) 发表评论 Trackback. OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real time computer vision, developed by Intel and now supported by Willow Garage. It is free for If you are now thinking any source to read and learn about this library then here is the book which you can read to learn it properly and here is the OpenCV's Yahoo Group where you can post your problems if you are having any, while using the library. (From: http://blog.damiles.com/2012/12/mastering-opencv-with-practical-computer-vision-projects/). OpenCV has become hardest only because there is no proper documentation and error handling codes. OpenCV is the most common library for computer vision, providing hundreds of complex and fast algorithms. But it has a steep learning curve and limited in-depth tutorials.