Search Results for "cpu performance meter"
Sort By:
Showing 12 open source projects for "cpu performance meter"
View related business solutions-
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
1
mpv-winbuild
Use Github Action to build mpv for Windows with latest commit
mpv-winbuild is an automated build system that provides precompiled Windows binaries of the mpv media player, keeping them updated with the latest upstream changes. It uses continuous integration workflows to compile mpv with modern compilers and dependencies, ensuring compatibility and performance across systems. The project produces multiple builds optimized for different CPU architectures, including standard and advanced instruction sets. It simplifies installation by offering ready-to-use packages that eliminate the need for manual compilation. mpv-winbuild is particularly useful for users who want cutting-edge features and fixes without configuring build environments. ... -
2
Warlock-Studio
AI Suite for upscaling, interpolating & restoring images/videos
v6.0. Warlock-Studio is a Windows application that uses Real-ESRGAN, BSRGAN, IRCNN, GFPGAN, RealESRNet, RealESRAnime and RIFE Artificial Intelligence models to upscale, restore faces, interpolate frames and reduce noise in images and videos. the application supports GPU acceleration (including multi-GPU setups) and offers batch processing for large workloads. It includes drag-and-drop handling for single or multiple files, optional pre-resize functions, and an automatic tiling system... -
3
fanplayer
A portable video player based on ffmpeg for windows and android
fanplayer is a lightweight, cross-platform video player built directly on top of FFmpeg, designed for Windows and Android environments. It is implemented in C with a focus on simplicity, performance, and minimal dependencies, avoiding external libraries such as SDL. The player directly interfaces with platform-specific rendering APIs like Direct3D and AudioTrack, enabling efficient audio and video output. It supports a wide range of media formats and streaming protocols while maintaining low CPU and memory usage compared to traditional FFmpeg players. ... -
4
TeLOS Linux
humbly smart Operating System - Debian derivative
TeLOS is a new, universal Linux distribution, a carefully customized derivative of Debian bullseye / sid with KDE Plasma Desktop Environment featuring an unbiased selection of useful applications and services. You may find TeLOS Linux to be snappy, lightweight, ready for work or fun straight out of the box and easily configurable. This Operating System is freely distributed and honors free, open source software development. Nevertheless, some non-free proprietary packages are included to... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
5
jetson-ffmpeg
ffmpeg support on jetson nano
jetson-ffmpeg is a specialized integration layer that enables FFmpeg to use hardware-accelerated encoding and decoding on NVIDIA Jetson devices through the L4T Multimedia API. It provides a bridge between FFmpeg and NVIDIA’s proprietary APIs, allowing developers to leverage on-device hardware encoders and decoders for improved performance. The project includes a library and patch system that modifies FFmpeg builds to enable NVMPI-based acceleration. This allows efficient processing of video streams on embedded systems without overloading CPU resources. jetson-ffmpeg is particularly useful for edge computing applications such as robotics, surveillance, and real-time streaming. ... -
6
GPUImage 2
Framework for GPU-accelerated video and image processing
...The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS. -
7
Simd
High performance image processing library in C++
The Simd Library is a free open source image processing library, designed for C and C++ programmers. 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. -
8
TCPCopy
An online request replication tool, also a tcp stream replay tool
TCPCopy is a TCP stream replay tool to support real testing of Internet server applications. Although the real live flow is important for the test of Internet server applications, it is hard to simulate it as online environments are too complex. To support more realistic testing of Internet server applications, we develop a live flow reproduction tool - TCPCopy, which could generate the test workload that is similar to the production workload. Currently, TCPCopy has been widely used by... -
9
ijkplayer
Android/iOS video player based on FFmpeg n3.4
...Its modular architecture enables integration into native mobile apps via Gradle or CocoaPods, while still allowing developers to customize FFmpeg builds for specific use cases or reduced binary sizes. The library supports multiple CPU architectures and can be compiled with different codec configurations. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
10
MplayerXP is branch of well known mplayer (http://mplayerhq.hu) which is based on new (thread based) core. Main goal of this project is to achieve smoothness of video playback due monotonous CPU loading.
-
11
Performance Test of CPU with make HD video smoother. It based on motion vectors searching and new motion-compensated frames calculation. Smooth factor by 2x and 2,5x. This task has good scalability. All cores of CPU are used.
-
12
- Previous
- You're on page 1
- Next
