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Awesome GitHub RepositoriesParallel Visual Data Capture

High-throughput acquisition of RGBD and segmentation data using GPU parallelization.

Distinct from Parallel Data Transformation: Focuses on the capture of visual simulation data rather than generic parallel data transformation logic.

Explore 1 awesome GitHub repository matching data & databases · Parallel Visual Data Capture. Refine with filters or upvote what's useful.

Awesome Parallel Visual Data Capture GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • haosulab/maniskillAvatar de haosulab

    haosulab/ManiSkill

    2,576Voir sur GitHub↗

    ManiSkill is a GPU-accelerated robot simulation framework designed for training robotic manipulation skills, benchmarking learning algorithms, and generating synthetic datasets. It serves as a reinforcement learning environment where robot control policies can be developed and evaluated using parallelized physics and rendering on the GPU. The platform is distinguished by its ability to perform sim-to-real transfer, allowing policies trained in virtual environments to be deployed onto physical robotic hardware. It features ray-traced parallel rendering for producing high-frame-rate RGBD and se

    Captures high-frame-rate RGBD and segmentation data using GPU parallelization for dataset generation.

    Python3d-computer-visioncomputer-visionembodied-ai
    Voir sur GitHub↗2,576
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