LibPaBOD is the object detection library, which handles object detection in images. LibPaBOD can extract persons, animals, vehicles, items from the image. By setting the parameters like detection confidence level, number of detected object per image etc., you can increase or decrease the rate of detection. LibPaBOD has very high accuracy and detection speed.
\nLibPaBOD is an independend project and no any dependencies are used. It is highly portable and it is included in the cpam Toolkit for Microsoft Visual C++ ( LibPaBOD supports Windows OS, Linux and Macintosh, so there is no compatibility issue.
\nLibPaBOD Features:
\n\uf0b7 Language: C++, C, C#
\n\uf0b7 Target architecture: x86 and x64
\n\uf0b7 Image types: PC, MAC, Windows and Linux
\n\uf0b7 Image format: JPG, BMP, PNG, TIFF, TGA and gif
\n\uf0b7 Detection types: Person, Animal, Vehicle, Item
\n\uf0b7 Detection Support: object in the whole image and object in the window
\n\uf0b7 Detecting speed: very fast (10~100ms\/image)
\nLibPaBOD Supported Images:
\nLibPaBOD does not need any additional data. You can use any image format you like.
\nLibPaBOD supports the following image formats:
\n\uf0b7 JPEG format (8bit, 12bit, 16bit)
\n\uf0b7 BMP format (8bit)
\n\uf0b7 TIFF format
\n\uf0b7 PNG format (8bit and 24bit)
\n\uf0b7 GIF format (8bit and 24bit)
\nLibPaBOD Installation:
\nLibPaBOD is included in the CPAM toolkit for Microsoft Visual C++. Download the latest version from the CPAM homepage. It is a free open source toolkit. You can use in your projects, commercial or non-commercial, provided you don\u2019t change any files.
\nSystem Requirements:
\nYou will need a computer to run LibPaBOD. For Windows, a minimum requirement is the WinXP. For Linux, the minimum requirement is the Ubuntu. Mac needs OS X, but it is not supported. On all systems, you need a graphics card with 32bit colour support.
\nLibPaBOD Requirements:
\nLibPaBOD can be used in Windows and Linux
\n2f7fe94e24<\/p>\n
<\/p>\nLibPaBOD<\/h2>\n
<\/center><\/p>\n
LibPaBOD is a C++ library and an object detection framework to detect objects in images. It can work with the following object detection models:<\/p>\n
Feature-based methods: Oriented-Bundles, Harris, SIFT, SURF, BRIEF, FAST and ORB.<\/p>\n
Object detection model: Fully-Connected<\/p>\n
Summary of features:<\/p>\n
Summary of objects:<\/p>\n
License:<\/p>\n
LibPaBOD is released under a modified MIT license.<\/p>\n
Resources:<\/p>\n
Homepage:<\/p>\n
Facebook:<\/p>\n
Twitter:<\/p>\n
Twitter:<\/p>\n
Join the mailing list:<\/p>\n
Join the mailing list:<\/p>\n
News:<\/p>\n
2016-03-15<\/p>\n
– github project now supports CMake and makefiles (I\u2019ve also added a new \u201crobust\u201d mode).<\/p>\n
2014-12-19<\/p>\n
– I\u2019ve added support for 64-bit systems.<\/p>\n
2014-12-18<\/p>\n
– I\u2019ve added support for OpenCV v3.William Baziotes<\/p>\n
William Baziotes (1936 – 2011) was an American artist. He was known for his paintings, prints, drawings and multiples. In his life he was influenced by the visual work of his father, the designer Richard Baziotes. His works are in the permanent collections of the Metropolitan Museum of Art, the Neuberger Museum of Art, the Brooklyn Museum, the Smithsonian American Art Museum, the Philadelphia Museum of Art and the Whitney Museum. Baziotes taught at the University of the Arts and the School of Visual Arts.<\/p>\n
Life
\nHe was born in New York City in 1936. He studied at the School of Industrial Art, the Art Students League and the New York Studio School. In his work he took inspiration from the works of his father, the designer Richard Baziotes.<\/p>\n
He died in New York on May 8, 2011.<\/p>\n
Work
\nHe was known for his paintings, prints, drawings and multiples. His paintings and drawings reflect his concern with abstraction and the concept of gesture painting. He used richly colored contrasts, including the interaction of multiple colors. The colours ranged from beiges, browns, oranges, reds and pinks to greens, purples, blues and yellows. He moved away from the broken flat planes of gestural abstraction to recasting the abstract with an emphasis on color and form. His color work<\/p>\n
<\/p>\n<\/p>\n
<\/p>\n
<\/p>\nWhat’s New In LibPaBOD?<\/h2>\n
<\/center><\/p>\n
LibPaBOD implements several algorithms to detect objects in images, using a single monolithic library. It is intended to use the two C++ interfaces IPlImage (smart pointer) and IplObject.<\/p>\n
LibPaBOD can run on the same machine, or on remote computers<\/p>\n
You have to install LibPaBOD on the computer where you want to run the detection application. LibPaBOD supports different operating systems. So the target operating system and the operating system where you want to install LibPaBOD are very important.<\/p>\n
LibPaBOD is based on OpenCV<\/p>\n
In order to use LibPaBOD you have to install OpenCV library.<\/p>\n
LibPaBOD has several object models<\/p>\n
Each object model has a specific purpose. You can choose from a large set of object models, for example:<\/p>\n
Object models are stored in.pobod files. They are contained in the directory having the same name of the object model and inside a directory named \u201cbin\u201d.<\/p>\n
LibPaBOD is compatible with the remote object detection<\/p>\n
With a high-level abstract, LibPaBOD is also compatible with the remote object detection. In other words, it is possible to build an application (or a web site) to detect objects in remote computers.<\/p>\n
The library is free and open-source<\/p>\n
LibPaBOD is free and open source.<\/p>\n
I\/O Support:<\/p>\n
I\/O Support<\/p>\n
The main features of LibPaBOD are:<\/p>\n
Image Scalar Operations<\/p>\n
Support for minimum\/maximum, minimum, maximum, add, multiply, subtract, divide and power<\/p>\n
Mathematical functions<\/p>\n
Support for normalization, histogram, rgb, gray, etc.<\/p>\n
Image type support<\/p>\n
Support for RGB, RGBA, grayscale, CMYK, grayscale (YCbCr), gray (G), Lab, YIQ, HSI, HSV, hue, luminance (Y), HSV (H), HSV (S), HSV (V), luminance (Y), HSV (H), HSV (S), HSV (V), hue, luminance (Y), HSV (H), HSV (S), HSV (V), grayscale and vector images (1,2,4,8,3,1,1,1,1,2,2,2,<\/p>\n
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\nhttps:\/\/wakelet.com\/wake\/81mobve-uE0s_xZDK5vSs<\/a><\/p>\n<\/p>\nSystem Requirements:<\/h2>\n
<\/center><\/p>\n
Microsoft Windows 7, Vista or Windows 8.1 64 bit.
\n1GHz CPU or faster
\n3GB RAM
\n2GB VRAM
\nController: Xbox 360 Wired Controller or Xbox One S Wireless Controller.
\nPC Requirements:
\nDirectX 12 compatible graphics card with 1280 MB of VRAM
\n1080p HD display
\n1024×768 display resolution
\nDirectX 12 compatible graphics card with 1280 MB of VRAM2GB VRAM1080p HD display1024x768 display resolution<\/p>\n
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