AABBTree | Pure Python implementation of d-dimensional AABB tree | Game Engine library

 by   kip-hart Python Version: 2.8.1 License: MIT

kandi X-RAY | AABBTree Summary

kandi X-RAY | AABBTree Summary

AABBTree is a Python library typically used in Gaming, Game Engine, Example Codes applications. AABBTree has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install AABBTree' or download it from GitHub, PyPI.

Pure Python implementation of d-dimensional AABB tree.
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            kandi-support Support

              AABBTree has a low active ecosystem.
              It has 42 star(s) with 9 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 7 have been closed. On average issues are closed in 64 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of AABBTree is 2.8.1

            kandi-Quality Quality

              AABBTree has 0 bugs and 0 code smells.

            kandi-Security Security

              AABBTree has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              AABBTree code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              AABBTree is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              AABBTree releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              AABBTree saves you 319 person hours of effort in developing the same functionality from scratch.
              It has 829 lines of code, 72 functions and 8 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed AABBTree and discovered the below as its top functions. This is intended to give you an instant insight into AABBTree implemented functionality, and help decide if they suit your requirements.
            • Adds a branch to the AABB
            • Calculate the overlap volume of this overlap
            • Merge two arrays
            • Merge two limits
            • Returns the next element
            • Return the next item
            • Plot a tree
            • Plot the contents of the tree
            • Read file contents
            Get all kandi verified functions for this library.

            AABBTree Key Features

            No Key Features are available at this moment for AABBTree.

            AABBTree Examples and Code Snippets

            No Code Snippets are available at this moment for AABBTree.

            Community Discussions

            QUESTION

            To calculate intersections between a ray and a mesh
            Asked 2021-Nov-15 at 02:02

            Problem description

            I want to calculate all intersections between a ray and a surface mesh which was built from points cloud using the function CGAL::advancing_front_surface_reconstruction(). The cost of time matters very much for me. So I want to use the package named Fast Intersection and Distance Computation. But when I built AABBtree from a surface mesh by the function tree(), a bug occurs. The IDE's bugs list shows: '' can not transform to CGAL::AABB_face_graph_triangle_primitive from "initializer list".
            I use the kernel named CGAL::Exact_predicates_inexact_constructions_kernel when I reconstruct mesh from points cloud with CGAL::advancing_front_surface_reconstruction(), but a Simple_cartesian kernel is required in the Fast Intersection and Distance Computation. Is that the main reason? How can I use the two program package together?

            Code

            The code is as follows:

            ...

            ANSWER

            Answered 2021-Nov-15 at 02:02

            After I paint the point (-100,-50,-0) in the mesh sv, I got the reason why the result which seems to be ridiculous come up. Technically, it's not a wrong answer mathematically, it's just not what I was expecting. The ray starting at this point and in the direction of (0, 0, 1) is a ray intersect with many facets on the side of the grid. The CGAL library does a good job of calculating intersections in this case, but I need to filter out the intersections.

            Source https://stackoverflow.com/questions/69953358

            QUESTION

            Why does std::weak_ptr::lock return empty shared pointer here?
            Asked 2021-Sep-01 at 13:49

            I'm trying to create an AABBTree structure where each node knows its parent and children.

            Within my AABBTreeNode class, the parent is stored as a std::shared_ptr and the children as a std::vector>. This is done to avoid circular references as pointed out in this Stackoverflow post.

            To add a new child I first calculate a valid bounding box and call the following function:

            ...

            ANSWER

            Answered 2021-Sep-01 at 13:49
            {
                auto child = std::make_shared(shared_from_this(), m_Mesh, partitionBound);
                m_Children.push_back(child);
            }
            

            Source https://stackoverflow.com/questions/69014886

            QUESTION

            2D AABBTree in CGAL with custom property map
            Asked 2021-Mar-01 at 21:55

            I am trying to create an AABBTree for checking in which triangle of a 2D mesh some points are. To do that, I am using CGAL, in particular, the Polygon_mesh_processing package and the location functions. However, this feels an impossible task to me.

            Since I want to check several points and I care about performance, I want to build an AABB first. To do that, I need the PMP::build_AABB_tree function, which receives a mesh and the AABBTree.

            In this particular case, the mesh is of type CGAL::Surface_mesh, with a Simple_cartersian kernel. The query points are also 2D. According to documentation, I need to provide a ReadablePropertyMap which converts my 2D points into 3D points.

            I do this with the following:

            ...

            ANSWER

            Answered 2021-Feb-23 at 07:47

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install AABBTree

            You can install using 'pip install AABBTree' or download it from GitHub, PyPI.
            You can use AABBTree like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install aabbtree

          • CLONE
          • HTTPS

            https://github.com/kip-hart/AABBTree.git

          • CLI

            gh repo clone kip-hart/AABBTree

          • sshUrl

            git@github.com:kip-hart/AABBTree.git

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