Showing 4 open source projects for "remove image background"

View related business solutions
  • 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
  • Try Google Cloud Risk-Free With $300 in Credit Icon
    Try Google Cloud Risk-Free With $300 in Credit

    No hidden charges. No surprise bills. Cancel anytime.

    Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
    Start Free
  • 1
    Robust Video Matting (RVM)

    Robust Video Matting (RVM)

    Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX

    ...Furthermore, we propose a novel training strategy that enforces our network on both matting and segmentation objectives. This significantly improves our model's robustness. Our method does not require any auxiliary inputs such as a trimap or a pre-captured background image, so it can be widely applied to existing human matting applications. RVM is specifically designed for robust human video matting.
    Downloads: 3 This Week
    Last Update:
    See Project
  • 2
    EnKoDeur-Mixeur
    EnKoDeur-Mixeur (EKD) is an open source software which makes videos, pictures and audio post-production. It can be also used to convert videos in many formats. It is written in python and use the PyQt4 bindings.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 3
    A python demo with connected bezier curves and a supplied background image.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4

    Video DeDup

    Find duplicate videos by content

    ...Since 201906 in free Pascal for x3 speed and less memory usage in multi-threading. . 3h_analyse is folder agnostic by first loading in memory current source and image folder. Then a lot of options and cache mechanism enable to get correct performance. At the end all duplicates are copied in an analysed folder. . To finalise you'll have to look at analysed folder to make your decisions : remove duplicate, flag some images as irrelevent or flag pair of videos as NOT dupes.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
    Start Free
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB