Open Computer Vision is a complex piece of software which offers developers a series of algorithms in open source form, so they can integrate advanced capabilities into their software and save the time otherwise required for doing everything themselves. The package comes with interfaces for several platforms aside from Windows, supporting several different programming languages, namely C++, C, Python and Java. Its main focus is on real-time application, being developed in such a way that is can successfully benefit of multi-core processing capabilities of a system. OpenCV comes with several different modules, each serving different needs, yet complementing each other. As such, the ‘Core’ provides users with basic data structures and functions, while the ‘Imgproc’ component functions as an image processing method, comprising image filtering (both linear and non-linear), as well as other image editing options (resizing, warping, remapping), or color space conversion. In the ‘Video’ module, users can find several powerful algorithms aimed for motion estimation, object tracking and background subtraction operations. The ‘Calib3d’ component comprises multiple-view geometry algorithms, offering several capabilities, such as camera calibration or 3D reconstruction. The ‘Features2d’ module includes descriptors and descriptor matchers, as well as salient feature detection tools. With the ‘Objdetect’ library, users can find various objects from predefined classes (for instance cars, faces, eyes, etc). OpenCV also includes ‘Highgui’, a module aimed to work as a UI for video capturing, image and video codecs. The ‘GPU’ module contains algorithms meant for GPU-acceleration tasks. Also, certain helper libraries can be found, namely FLANN or Google test wrappers. What Does the OpenCV Recognize? OpenCV was developed by Caltech, as well as various other organizations and companies, for various purposes. There are two main reasons for developing the open source library: 1) To allow the community to share their work. 2) To allow developers to easily implement tools for their own projects. OpenCV’s licensing has always been a bit tricky, as the conditions the maintainers have set forth are a bit too vague. Nevertheless, the package has received praise from various organizations, like Face++, Twitter, Facebook, Microsoft Research, and OpenCV is getting more and more recognition every day. As of late, the package has
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* Camera Calibration and 3D Object Tracking. * Image/video compression. * Salient feature detection. * AR markers detection. * Real time video processing (background subtraction). * Recognition and tracking of moving objects (using kinect). KeyMACRO Description: * Recognition and tracking of moving objects (using kinect). * Video stabilization. * Face tracking. * 2D/3D AR markers tracking. * Real-time video processing. INTEGRATION WITH THE FRAMEWORK: - OpenCV integration can be performed by means of the following steps: - Download and extract the installer (instructions will be provided with the download). - Copy the Dlls and Macros from the installation directory to the library folder in the Web app. - Install the plugins (OpenCV, Kinect v2, Webcam Studio, ImageMagic, and VLC) to the Web app. KeyMACRO Description: * 3D Object Tracking. * Real time video processing. QUESTIONS AND ANSWERS: Q1. Will OpenCV work with Skybox? A1. No, it will not. Q2. I'm seeing some TALISMAN symbols in the output. Is it OK? A2. No, it's not. Q3. How can I choose the number of threads in OpenCV? A3. Use: int main(int argc, char** argv) Q4. Is it possible to accelerate OpenCV with Intel VTune Analyzer? A4. Yes, using the following sample: #define USE_ALL_CPU_CORES 1 #include #include int main(int argc, char** argv) { // set up the program options CvOption opt; opt.method = 3; opt.intp = CvInvoke.CV_32F; opt.minVal = cv::Vec3f(-99,-99,-99); opt.maxVal = cv::Vec3f(99,99,99); opt.float_ = CV_32F; opt.float_idx = 0
Required: ● Internet connection ● Recommended: ● Windows 10 ● DirectX 11 compatible video card ● For the highest graphics settings, an Intel Core i7 or AMD Athlon 64, or equivalent ● Intel Core i5 or AMD FX CPU, or equivalent ● NVIDIA GeForce GTX 660, AMD Radeon HD 7870 or better, or better ● 2 GB RAM ● 1 GB video RAM Pre-requisite: ● NVIDIA GeForce GTS 250, ATI HD 3870 or better, or better
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