11 projects for "frame analysis" with 1 filter applied:

  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

    Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

    Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
    Start Free Trial
  • Secure File Transfer for Windows with Cerberus by Redwood Icon
    Secure File Transfer for Windows with Cerberus by Redwood

    Protect and share files over FTP/S, SFTP, HTTPS and SCP with the #1 rated Windows file transfer server.

    Cerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
    Try for Free
  • 1
    video-compare

    video-compare

    Split screen video comparison tool using FFmpeg and SDL2

    video-compare is a split-screen video comparison tool written in C++ that enables users to analyze differences between two video sources in real time. It uses FFmpeg libraries and SDL2 to decode and render synchronized playback, allowing precise frame-by-frame comparison. The tool supports videos with different formats, resolutions, and frame rates, making it versatile for testing encoding changes or processing effects. It includes interactive navigation controls and customizable display options to enhance analysis workflows. Users can visually compare codecs, scaling algorithms, and other transformations to evaluate quality differences. ...
    Downloads: 14 This Week
    Last Update:
    See Project
  • 2
    PyAV

    PyAV

    Pythonic bindings for FFmpeg's libraries

    ...It enables developers to work with media containers, streams, packets, codecs, and frames, exposing low-level operations while simplifying some of the complexity of FFmpeg. The library is designed for precise media manipulation, making it suitable for applications that require frame-level access or custom processing pipelines. PyAV integrates well with other Python libraries such as NumPy and Pillow, allowing seamless data transformation and analysis. It supports decoding, encoding, filtering, and resampling operations, covering a wide range of multimedia tasks. While powerful, it requires a solid understanding of FFmpeg concepts, as it prioritizes flexibility and control over abstraction. ...
    Downloads: 36 This Week
    Last Update:
    See Project
  • 3
    Vidi2

    Vidi2

    Large Multimodal Models for Video Understanding and Editing

    Vidi is a family of large multimodal models developed for deep video understanding and editing tasks, integrating vision, audio, and language to allow sophisticated querying and manipulation of video content. It’s designed to process long-form, real-world videos and answer complex queries such as “when in this clip does X happen?” or “where in the frame is object Y during that moment?” — offering temporal retrieval, spatio-temporal grounding (i.e. locating objects over time + space), and even video question answering. Vidi targets applications like intelligent video editing, automated video search, content analysis, and editing assistance, enabling users to efficiently locate relevant segments and objects in hours-long footage. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    MediaPipe Face Detection

    MediaPipe Face Detection

    Detect faces in an image

    The MediaPipe Face Detection model is a high-performance, real-time face detection solution that uses machine learning to identify faces in images and video streams. It is optimized for mobile and embedded platforms, offering fast and accurate face detection while maintaining a small memory footprint. This model supports multiple face detections and is highly efficient, making it suitable for a variety of applications such as augmented reality, user authentication, and facial expression analysis.
    Downloads: 5 This Week
    Last Update:
    See Project
  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
    Get Started Free
  • 5
    CoTracker

    CoTracker

    CoTracker is a model for tracking any point (pixel) on a video

    ...Typical uses include correspondence building, motion analysis, dynamic SLAM priors, video editing masks, and evaluation of geometric consistency in real scenes.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Capacity Planning & Management Software

    Capacity Planning & Management Software

    Free & Open Capacity Planning Software in a Complete Virtual Machine

    Every Profession has some sort of Resource to manage, be it materials, money, physical or logical resources & with it some vital queries to be answered: At what Rate is my Resource getting consumed? How Long will current stock last? What will be near future requirement? In Just Two Simple steps of Defining Your Resource & Actively Tracking its Consumption, you will be in total control of your Resource, with this Software. After starting this VM, from any PC on your Local Network,...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7

    mp3guessenc

    What's inside your mp3 files REALLY ?

    mp3guessenc is based upon the original project by Naoki Shibata. This command line utility was born to detect the encoder used for a mpeg layer III file but now it can do more and scan any mpeg audio file (any layer) and print a LOT of useful information. Latest modifications include fixes, new features and code optimizations.
    Downloads: 5 This Week
    Last Update:
    See Project
  • 8
    Feather

    Feather

    Binary data frame storage for Python, R, and more

    Feather is a fast, interoperable binary data frame storage format designed for efficient data exchange between analysis tools. It provides columnar serialization for data frames, making read and write operations faster than many text-based formats. The project was built to make sharing data across languages such as Python and R easier. Feather is powered by the Apache Arrow columnar memory specification, which helps it represent numeric, string, categorical, date, timestamp, boolean, and binary data efficiently. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    TreeGraph

    TreeGraph

    Information Manager(split/analyze/compare/combine).

    For Homepage, Blog, Family Tree, Database, C#|hjt|js|chm Editor. Convert hjt2xml, (c#)cs2xml, chm2xml, js2xml, xml2cs, xml2js, xml2hjt, cs2hjt, hjt2cs, cs2chm, hjt2chm. IE/Opera/Firefox/PocketPC supported.
    Downloads: 0 This Week
    Last Update:
    See Project
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • 10
    hbstock is a stock selector frame that written in c++,it can be used for all stock market in the world,example Nasdaq and China Market(it's only need a dataloader of this market). It can be easy to add neural network,wavelet tool to do stock selecting.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 11
    Gemma 4

    Gemma 4

    Google’s flagship dense multimodal model for coding and reasoning

    Gemma 4 is Google DeepMind’s flagship dense open-weight multimodal model, designed for high-end reasoning, coding, agentic workflows, and multimodal understanding. The model contains approximately 30.7B parameters and supports text and image inputs with text generation output, while also processing video as image-frame sequences. Built as the most capable model in the Gemma 4 family, it combines strong reasoning performance with a large 256K-token context window and configurable thinking modes. Gemma 4 31B supports native function calling, structured outputs, and more than 140 languages, making it suitable for enterprise assistants, coding agents, document analysis, and multilingual applications. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next