Showing 4 open source projects for "gap"

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  • 1
    Mesh R-CNN

    Mesh R-CNN

    code for Mesh R-CNN, ICCV 2019

    ...Built on top of Detectron2 and PyTorch3D, Mesh R-CNN enables end-to-end 3D mesh prediction directly from single RGB images. The model learns to detect, segment, and reconstruct detailed 3D mesh representations of objects in natural images, bridging the gap between 2D perception and 3D understanding. Unlike voxel-based or point-based approaches, Mesh R-CNN uses a differentiable mesh representation, allowing it to efficiently refine surface geometry while maintaining high spatial detail. The system combines 2D detection from Mask R-CNN with 3D reasoning modules that output full mesh reconstructions aligned with the input image. ...
    Downloads: 0 This Week
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  • 2
    Kornia

    Kornia

    Open Source Differentiable Computer Vision Library

    ...Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. With Kornia we fill the gap between classical and deep computer vision that implements standard and advanced vision algorithms for AI. Our libraries and initiatives are always according to the community needs.
    Downloads: 0 This Week
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  • 3
    YouTube-8M

    YouTube-8M

    Starter code for working with the YouTube-8M dataset

    ...It was developed to support the YouTube-8M Video Understanding Challenge (hosted on Kaggle and featured at ICCV 2019), enabling researchers and practitioners to benchmark video classification models on large-scale datasets with over millions of labeled videos. The code demonstrates how to process frame-level features, train logistic and deep learning models, evaluate them using metrics like global Average Precision (gAP) and mean Average Precision (mAP), and export trained models for MediaPipe inference.
    Downloads: 1 This Week
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  • 4
    intelligence

    intelligence

    What happens if you cross artificial intelligence with 3D

    ...Usually many operations in 3D workflow are highly redundant and often actions have to be repeated several times or instead being executed in self-made scripts.Scripting is in fact for most people a very nasty and time consuming action. This application module tries to fill the gap where it learns workflows which can in order be modified, multiplied, adapted organically to allow a fast and versatile Workflows, where currently rigid working habits will not Compete. ...also making scripting finally obsolete. currently the development is started with Autodesk Maya. More 3D platforms will come after this project is succeeding.
    Downloads: 0 This Week
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