monmond

Pinned Repositories

AugustFriday
Language:Swift00
CollectionViewInsideTableViewWithAdapter
Language:Swift00
gitignore
A collection of useful .gitignore templates
00
GPUImage2
GPUImage 2 is a BSD-licensed Swift framework for GPU-accelerated video and image processing.
Language:Swift0 1 00
ios-OTA
0 0 00
JBKenBurnsView
Language:Swift0 1 00
MultipleChoiceScanner
A multiple choice scanner
Language:C++0 1 00
objective-c-style-guide
A style guide that outlines the coding conventions for raywenderlich.com
1 1 00
swift-style-guide
The official Swift style guide for raywenderlich.com.
1 1 00

monmond's Repositories

monmond/objective-c-style-guide
A style guide that outlines the coding conventions for raywenderlich.com
1 1 00
monmond/swift-style-guide
The official Swift style guide for raywenderlich.com.
1 1 00
monmond/AugustFriday
Language:Swift00
monmond/CollectionViewInsideTableViewWithAdapter
Language:Swift00
monmond/gitignore
A collection of useful .gitignore templates
00
monmond/GPUImage2
GPUImage 2 is a BSD-licensed Swift framework for GPU-accelerated video and image processing.
Language:Swift0 1 00
monmond/ios-OTA
0 0 00
monmond/JBKenBurnsView
Language:Swift0 1 00
monmond/MultipleChoiceScanner
A multiple choice scanner
Language:C++0 1 00
monmond/OpenCV-CPP
Learning OpenCV-CPP
Language:C++
monmond/OpenCV-Tutorial
A sample project demonstrating use of OpenCV library in iOS platform
Language:C++
monmond/SwCrypt
RSA public/private key generation, RSA, AES encryption/decryption, RSA sign/verify in Swift with CommonCrypto in iOS and OS X
Language:Swift0 0
monmond/swift-algorithm-club
Algorithms and data structures in Swift, with explanations!
Language:Swift1 0
monmond/thesis-backend
Language:CSS
monmond/thesis-ios-api
Language:Swift1 0
monmond/thesis-ios-rtsp
Language:Swift
monmond/tva-wenderserve
The API server that's part of the tvOS Apprentice TVML chapters
Language:JavaScript1 0
monmond/tvOS-guidelines
Provides a summary of tvOS guidelines
1 0
monmond/webcam-capture
The goal of this project is to allow integrated or USB-connected webcams to be accessed directly from Java. Using provided libraries users are able to read camera images and detect motion. Main project consist of several sub projects - the root one, which contains required classes, build-in webcam driver compatible with Windows, Linux and Mac OS, which can stream images as fast as your camera can serve them (up to 50 FPS). Main project can be used standalone, but user is able to replace build-in driver with different one - such as OpenIMAJ, GStreamer, V4L4j, JMF, LTI-CIVIL, FMJ, etc.