Mastering OpenCV with Practical Computer Vision Projects Step-by-step tutorials to solve common real-world computer vision problems for desktop or mobile, from augmented reality and number plate recognition to face recognition and 3D head tracking C
Chapters (each is a project with full source-code): Cartoonifier and Skin Changer for Android. Marker-based Augmented Reality on iPhone or iPad. Marker-less Augmented Reality. Exploring Structure from Motion using OpenCV. Number Plate Recognition us
opencv新书，值得看一下 Source-Code: https://github.com/MasteringOpenCV/code Chapters: Ch1) Cartoonifier and Skin Changer for Android, by Shervin Emami. Ch2) Marker-based Augmented Reality on iPhone or iPad, by Khvedchenia Ievgen. Ch3) Marker-less Augmented
10大安全测试平台之一. SQLol Released at Austin Hackers Association meeting 0x3f Daniel Crowley http://www.trustwave.com INTRODUCTION ============ ***WARNING: SQLol IS INTENTIONALLY VULNERABLE. DO NOT USE ON A PRODUCTION WEB SERVER. DO NOT EXPOSE SQLol IN AN
Preface 1 Chapter 1: Cartoonifier and Skin Changer for Android 7 Accessing the webcam 9 Main camera processing loop for a desktop app 10 Generating a black-and-white sketch 11 Generating a color painting and a cartoon 12 Generating an "evil" mode us
opencv较新的书，值得看一下 Source-Code: https://github.com/MasteringOpenCV/code Chapters: Ch1) Cartoonifier and Skin Changer for Android, by Shervin Emami. Ch2) Marker-based Augmented Reality on iPhone or iPad, by Khvedchenia Ievgen. Ch3) Marker-less Augmente
This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability
