![]() And to interact with the aspects of GUI, what we need is just a pointing device such as a mouse or a keyboard or any other input device.ĭespite having a vast number of programming languages, Python is still in the lead and has managed to win the title of the best programming language in 2018. It uses windows, icons, and menus to follow the commands like deleting or moving files. The reason that GUI has become more popular is that unlike Operating Systems works on the command line and CUI like MS-DOS or UNIX, we need not memorise the commands which makes it all the more to learn. At first, it was developed at Xerox PARC by Alan Kay and Douglas Engelbart in the year 1981. The GUI is a graphical and visual user interface that allows the users to interact with electronic devices. What is a GUI (Graphical User Interface)? Working with Python is not as complicated as working with other programming languages as the programmer can concentrate more on the solution to the problem rather than on the program syntax. ![]() Till 2017, Python was given the title as the fastest growing programming language, but in 2018, it has been crowned as the Best programming language.’ It’s simplicity in syntax, and relatively shorter length of the code makes it all the more approachable. The first stable release of Python happened in the year 1991 by Guido Van Rossum. The project needs to be completed within 15 days.Python is a high-level object-oriented programming language which has gained immense popularity in the world of web development. This will require a person having skills in writing code to develope drivers using C/C++ in linux environment, familiarity with ffmpeg. Accelerated processing includes support for video decoding, video encoding, subpicture blending, and rendering.Īs stated above, Libavg uses VDPAU for video decoding and acceleration and we would like it to do the same using VA-API also. VA API video decode/encode interface is platform and window system independent but is today primarily targeted at DRI (Direct Rendering Infrastructure) in X Window System on Unix-based operating systems (including Linux, FreeBSD, Solaris), and Android, however it can potentially also be used with direct framebuffer and graphics sub-systems for video output. The cross-platform API enables and provides access to hardware accelerated video processing, using hardware like for example Graphics Processing Units (GPU) to accelerate video processing in order to offload the CPU (Central Processing Unit) to decode and encode compressed digital video. Video Acceleration API (VA API) is an open source software library ('libVA') and API specification. This VDPAU API allows video programs to offload portions of the video decoding process and video post-processing to the GPU video-hardware. VDPAU (Video Decode and Presentation API for Unix) is an open source library (libvdpau) and API originally designed by Nvidia for its GeForce 8 series and later GPU hardware, targeted at the X Window System on Unix-Like operating systems (including Linux, FreeBSD, and Solaris). ![]() ![]() ![]() libavcodec already supports both but there would be some refactoring work to be done inside libavg to support it. It would be really great to support VA-API (Intel's counterpart for VDPAU) on compatible hardware from libavg. In the case of VDPAU, libavcodec will do the decoding on suitable hardware but expects to output the video directly to the graphics card. Currently, accelerated video decoding is supported using NVidias VDPAU interface. The C++ core is written with performance in mind, all graphics processing is hardware-accelerated through OpenGL, and GPU Shaders are used to accelerate critical parts like video decoding, compositing and visual effects. Libavg is a open source cross platform multimedia framework which uses python as scripting language and is written in high-speed C++. ![]()
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