Showing 5 open source projects for "images"

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  • 1
    COLMAP

    COLMAP

    Structure-from-Motion and Multi-View Stereo

    COLMAP is a general-purpose Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline with a graphical and command-line interface. It offers a wide range of features for the reconstruction of ordered and unordered image collections. The software is licensed under the new BSD license.
    Downloads: 34 This Week
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  • 2
    Objectron

    Objectron

    A dataset of short, object-centric video clips

    ...The data also contain manually annotated 3D bounding boxes for each object, which describe the object’s position, orientation, and dimensions. The dataset consists of 15K annotated video clips supplemented with over 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes. In addition, to ensure geo-diversity, our dataset is collected from 10 countries across five continents. Along with the dataset, we are also sharing a 3D object detection solution for four categories of objects — shoes, chairs, mugs, and cameras.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Semantic Segmentation Editor

    Semantic Segmentation Editor

    Web labeling tool for bitmap images and point clouds

    A web-based labeling tool for creating AI training data sets (2D and 3D). The tool has been developed in the context of autonomous driving research. It supports images (.jpg or .png) and point clouds (.pcd). It is a Meteor app developed with React, Paper.js, and three.js.
    Downloads: 0 This Week
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  • 4
    Various tools for point cloud processing. Similarity transformations, 2.5D incisions and Point Cloud coloring.
    Downloads: 1 This Week
    Last Update:
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  • 5
    PhotoCloud is a tool to browse and a navigate for datasets composed of (a) a collection of registered images and (b) a 3D model over which images are aligned. The 3D model can be a point-cloud, triangle mesh. PhotoCloud is based on a client/server architecture and it is scalable: very large dataset (both in terms of (a) and (b) can be handled.
    Downloads: 0 This Week
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