Search Results for "cloud simulation tools"
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Showing 8 open source projects for "cloud simulation tools"
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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.
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CompressO
Convert any video/image into a tiny size. 100% free & open-source
compressO is a cross-platform, open-source multimedia compression application designed to reduce the size of videos and images while preserving visual quality. Built using modern frameworks such as Rust and Tauri, it runs locally on the user’s machine, ensuring fast performance and complete privacy without requiring cloud processing. The application supports a variety of media formats and provides controls for adjusting compression levels, resolution, and output quality. In addition to... -
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StreamPot
Run FFmpeg as an API with fluent-ffmpeg compatibility, queues and S3
...The system supports adaptive bitrate streaming, allowing videos to be optimized dynamically based on viewer bandwidth. It integrates FFmpeg as its core processing engine, enabling advanced encoding and transformation workflows. StreamPot is designed for deployment in cloud environments, supporting containerization and distributed processing. It also includes tools for managing media assets, monitoring processing jobs, and integrating with frontend applications. Overall, it functions as a backend infrastructure for building video streaming services. -
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AutoCrop-Vertical
Smart video converter using YOLOv8 and FFmpeg
AutoCrop-Vertical is a Python-based video processing tool that automatically converts horizontal videos into vertical formats optimized for social media platforms. It uses computer vision techniques and AI models such as YOLOv8 to analyze each frame, detect subjects, and dynamically adjust cropping decisions. Instead of applying a static center crop, the system intelligently tracks people or key objects to preserve visual focus and composition. When cropping would degrade the scene, it can... -
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Superstreamer
An open, scalable, online streaming setup
Superstreamer is a self-hosted video processing and delivery platform designed to simplify the entire workflow from media ingestion to adaptive playback. It provides developers with tools to transcode video files into multiple quality levels and package them into streaming-ready formats such as HLS playlists. The system enables dynamic playlist generation, allowing insertion of elements like ads or bumpers directly into video streams. It supports scalable deployment through containerized... -
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.
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Streamlabs Desktop
All-in-one live streaming and recording software
Streamlabs Desktop is a cutting-edge, all-in-one streaming and recording software designed to elevate the livestreaming experience for content creators. With its powerful and user-friendly interface, Streamlabs Desktop simplifies the process of streaming on platforms like Twitch, YouTube, and Facebook Live, while offering a host of customization options to create a professional and engaging broadcast. This software combines high-performance tools with sleek overlays, widgets, and real-time... -
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VDSF-VN (ppp_qos)
Framework for simulation of video streaming over VANETs
Video Delivery Simulation Framework over Vehicular Networks (VDSF-VN) is a set of tools that allow the study of video streaming over Vehicular Networks (VANETs), including all the necessary tasks, namely: video encoding with HEVC, creating the network scenarios for SUMO & OMNeT++, launching the simulations in parallel, generating graphs with the results, analyzing the received video quality (PSNR, SSIM, ...). -
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YouTube-8M
Starter code for working with the YouTube-8M dataset
youtube-8m is Google’s open source starter code and reference implementation for training and evaluating machine learning models on the YouTube-8M dataset, one of the largest video understanding datasets publicly released. The repository provides a complete pipeline for video-level and frame-level modeling using TensorFlow, including data reading, model training, evaluation, and inference. It was developed to support the YouTube-8M Video Understanding Challenge (hosted on Kaggle and featured... -
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EasyDarwin
Industrial rtsp streaming server
...Provided to the public in the form of SDK, completely free to use. Provides a series of streaming media audio and video development practical tools to help developers quickly solve problems in the process of operation, maintenance and debugging.
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