Showing 3 open source projects for "detect"

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    Mesh R-CNN

    Mesh R-CNN

    code for Mesh R-CNN, ICCV 2019

    Mesh R-CNN is a 3D reconstruction and object understanding framework developed by Facebook Research that extends Mask R-CNN into the 3D domain. 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. ...
    Downloads: 2 This Week
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  • 2
    San-Libs

    San-Libs

    Fixes the scanner error / Corrige les erreurs du scanner

    [En] San-Libs fix the device detection error when the scanner driver is already installed in the Linux systems using the Sane backends. San-Libs utility will verify the Sane libraries and set the configuration files to detect your scanner. [Fr] San-Libs corrige l’érreur de détection du scanner alors que le pilote est installé sur les systèmes Linux qui utilisent les back-end de Sane. L’utilitaire San-Libs va vérifier les librairies et reconfigurer les fichiers de Sane pour détecter votre scanner.
    Downloads: 3 This Week
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  • 3

    dupehasher

    Shell script for managing duplicate image files in a directory.

    dupehasher scans the given directory for files that are identical except by filename. dupeshasher will generate a report plaintext file named 'dupelist.txt' in the working directory (which contains, per line, tab-delimited names of files whose contents are identical). Depending upon the arguments supplied by the user upon invoking dupeshasher, it will also delete all duplicates, keeping either the oldest or newest of all sets of duplicates. Additionally it can batch-rename all...
    Downloads: 0 This Week
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