Showing 10 open source projects for "linux android tool"

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  • 1
    Point Cloud Library

    Point Cloud Library

    A standalone, large scale, open project for 2D/3D image processing

    ...An additional Wiki resource for developers is available too. To simplify both usage and development, we split PCL into a series of modular libraries. PCL is cross-platform, and has been successfully compiled and deployed on Linux, MacOS, Windows, and Android. To simplify development, PCL is split into a series of smaller code libraries, that can be compiled separately. This modularity is important for distributing PCL on platforms with reduced computational or size constraints.
    Downloads: 7 This Week
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  • 2
    pyntcloud

    pyntcloud

    pyntcloud is a Python library for working with 3D point clouds

    This page will introduce the general concept of point clouds and illustrate the capabilities of pyntcloud as a point cloud processing tool. Point clouds are one of the most relevant entities for representing three dimensional data these days, along with polygonal meshes (which are just a special case of point clouds with connectivity graph attached). In its simplest form, a point cloud is a set of points in a cartesian coordinate system. Accurate 3D point clouds can nowadays be (easily and...
    Downloads: 1 This Week
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  • 3
    Pytorch Points 3D

    Pytorch Points 3D

    Pytorch framework for doing deep learning on point clouds

    Torch Points 3D is a framework for developing and testing common deep learning models to solve tasks related to unstructured 3D spatial data i.e. Point Clouds. The framework currently integrates some of the best-published architectures and it integrates the most common public datasets for ease of reproducibility. It heavily relies on Pytorch Geometric and Facebook Hydra library thanks for the great work! We aim to build a tool that can be used for benchmarking SOTA models, while also...
    Downloads: 0 This Week
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  • 4
    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: 6 This Week
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    3DFOREST

    3DFOREST

    tool for manage and process TLS lidar data from forest environment

    Software tool for tree atributes extraction from point cloud data acquired by terrestrial laser scanner in forest enviroment. 3DForest is not only a visualizer af data but brings new and complex data management for foresters and researchers
    Downloads: 4 This Week
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  • 6

    connect3d

    Reconstruct Water-Tight Triangulation from Point Cloud

    This software reconstructs water-tight triangulations from point clouds, interpolating the points. It approximates the triangle mesh which minimizes the sum of all triangles' longest edge. As a result, it can interpolate much more sparse sampling as state-of-the-art algorithms. Run-time is in practice linear to that of the Delaunay triangulation of the points. The software is designed as a command-line tool. It can also be used as a library. A plug-in for the Meshlab geometry software is...
    Downloads: 1 This Week
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  • 7
    This work presents an open-source tool for viewing the depth map information captured by Microsofts Kinect sensor in a distributed way as a 3D point cloud inside the web browser.
    Downloads: 0 This Week
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  • 8
    The Point Cloud Compiler is a tool for converting point cloud image (3D) to human-visible image (2D) by orthogonal projection.
    Downloads: 0 This Week
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  • 9
    Volumetric is a 3-D image processing tool. It reads point cloud data, expands it to a volumetric space with highly effective memory usage, and filter out necessary points.
    Downloads: 0 This Week
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  • 10
    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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