Search Results for "cpu benchmark linux"

QtScrcpy connects to Android devices via USB (or via TCP/IP) for display and control. It does NOT require the root privileges. It supports three major platforms: GNU/Linux, Windows and MacOS. You can write your own script to map keyboard and mouse actions to touches and clicks of the mobile phone according to your needs. A script for "PUBG mobile" and TikTok mapping is provided by default. Once enabled, you can play the game with your keyboard and mouse as the PC version. or you can use...

ffmpeg-android-maker is a build automation tool designed to compile FFmpeg for Android platforms with support for various codecs and libraries. It simplifies the complex process of cross-compiling FFmpeg by providing scripts that handle dependencies, configuration, and build steps. The project supports multiple architectures, enabling developers to generate binaries compatible with different Android devices. It includes options for enabling or disabling specific codecs and features, allowing...

IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware:

...It provides many useful high performance algorithms for image processing such as: pixel format conversion, image scaling and filtration, extraction of statistic information from images, motion detection, object detection (HAAR and LBP classifier cascades) and classification, neural network. The algorithms are optimized with using of different SIMD CPU extensions. In particular the library supports following CPU extensions: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2 and AVX-512 for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM. The Simd Library has C API and also contains useful C++ classes and functions to facilitate access to C API. The library supports dynamic and static linking, 32-bit and 64-bit Windows, Android and Linux, MSVS, G++ and Clang compilers, MSVS project and CMake build systems.