Showing 105 open source projects for "camera"

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  • 1
    unidepth-v2-vitl14

    unidepth-v2-vitl14

    Metric monocular depth estimation (vision model)

    Estimates absolute (metric) depth from single RGB images, along with camera intrinsics and uncertainty. Designed to generalize across domains (zero-shot) using a self‑prompting camera module and pseudo-spherical prediction space.
    Downloads: 0 This Week
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  • 2
    FLUX 3 Action

    FLUX 3 Action

    7B world action model for vision-guided SO-101 robotic control

    ...Developers can adapt it to new robotic tasks using the provided rank-32 LoRA training recipe. The checkpoint uses BF16 weights and includes its own observation history, camera configuration, preprocessing pipelines, normalization statistics, and action contract.
    Downloads: 0 This Week
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  • 3
    Alpamayo 2 Super

    Alpamayo 2 Super

    Open VLA model for autonomous driving reasoning and planning

    ...Built on the NVIDIA Cosmos platform, it enables vehicles to perceive, reason, plan, and generate driving actions using human-like decision making rather than relying solely on predefined rules. The model processes multi-camera video, navigation signals, and driving context to produce driving trajectories alongside interpretable Chain-of-Causation reasoning, improving transparency for validation and safety analysis. Alpamayo2-Super is part of the broader NVIDIA Alpamayo ecosystem, which also includes simulation frameworks, reinforcement learning infrastructure, datasets, and physical AI tools for end-to-end autonomous vehicle development. ...
    Downloads: 1 This Week
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  • 4
    using simple cuboids and gjk algorithm, this general purpose algorithm gives a ready made code to work with swissranger 3D camera.
    Downloads: 0 This Week
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  • 5
    OpenVLA 7B

    OpenVLA 7B

    Vision-language-action model for robot control via images and text

    OpenVLA 7B is a multimodal vision-language-action model trained on 970,000 robot manipulation episodes from the Open X-Embodiment dataset. It takes camera images and natural language instructions as input and outputs normalized 7-DoF robot actions, enabling control of multiple robot types across various domains. Built on top of LLaMA-2 and DINOv2/SigLIP visual backbones, it allows both zero-shot inference for known robot setups and parameter-efficient fine-tuning for new domains. The model supports real-world robotics tasks, with robust generalization to environments seen in pretraining. ...
    Downloads: 0 This Week
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