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2 dépôts

Awesome GitHub RepositoriesOffscreen Framebuffer Managers

Management of offscreen framebuffer objects including creation, resizing, reading pixel data, and cube map attachments for dynamic rendering.

Distinct from Offscreen Framebuffer Creation: More comprehensive than Offscreen Framebuffer Creation: covers management and readback in addition to creation.

Explore 2 awesome GitHub repositories matching user interface & experience · Offscreen Framebuffer Managers. Refine with filters or upvote what's useful.

Awesome Offscreen Framebuffer Managers GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • regl-project/reglAvatar de regl-project

    regl-project/regl

    5,528Voir sur GitHub↗

    regl is a declarative WebGL library that manages graphics state and GPU resources through functional commands instead of manual binding and state tracking. It provides a command-based drawing abstraction where shaders, attributes, and render state are encapsulated into reusable, compiled functions that can be executed efficiently. What sets regl apart is its scoped state inheritance system, which allows nested drawing commands to inherit and override render state from parent scopes for organized rendering. The library automatically recovers from GPU context loss by restoring buffer and textur

    Regl resizes, reads from, and manages framebuffer objects, including cube map attachments, for dynamic off-screen rendering.

    JavaScriptjavascriptreglwebgl
    Voir sur GitHub↗5,528
  • google-deepmind/mujoco_menagerieAvatar de google-deepmind

    google-deepmind/mujoco_menagerie

    3,055Voir sur GitHub↗

    mujoco_menagerie is a curated library of physical robot specifications and XML model definitions designed for standardized dynamics and contact simulation. It provides a collection of high-quality robot model files for humanoids, quadrupeds, and manipulators, alongside detailed kinematic and inertial parameters used to reproduce real-world robot behavior in virtual environments. The project serves as a repository of robotics simulation assets and MJCF model definitions optimized for accuracy. It includes standardized model libraries specifically for bipedal, quadrupedal, and humanoid hardware

    Outputs visual data to a headless framebuffer for synthetic computer vision in cloud environments.

    Pythonmujocorobotics
    Voir sur GitHub↗3,055
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