vertex_batch_optimization | rendering order optimization tools and experiments to go

 by   GPUPeople C++ Version: Current License: MIT

kandi X-RAY | vertex_batch_optimization Summary

kandi X-RAY | vertex_batch_optimization Summary

vertex_batch_optimization is a C++ library. vertex_batch_optimization has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Code for the rendering order optimization tools and experiments to go with the paper Revisiting The Vertex Cache: Understanding and Optimizing Vertex Processing on the modern GPU. The project consists of a main sceneprocessor application, a separate vertex cache test utility, a visualizer application, and various scripts to run experiments. The sceneprocessor application reads triangle meshes from Wavefront .obj files and applies various kinds of processing before writing out the resulting triangle mesh either to another .obj file or to the custom .scene format used by other tools in this project. Note: The project does contain quite a few components not mentioned in this readme. If a component is not explicitly mentioned here, the reason for this is most likely that the component in question is not currently in an operational state.
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            kandi-support Support

              vertex_batch_optimization has a low active ecosystem.
              It has 20 star(s) with 0 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of vertex_batch_optimization is current.

            kandi-Quality Quality

              vertex_batch_optimization has no bugs reported.

            kandi-Security Security

              vertex_batch_optimization has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              vertex_batch_optimization 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

              vertex_batch_optimization releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            vertex_batch_optimization Key Features

            No Key Features are available at this moment for vertex_batch_optimization.

            vertex_batch_optimization Examples and Code Snippets

            No Code Snippets are available at this moment for vertex_batch_optimization.

            Community Discussions

            No Community Discussions are available at this moment for vertex_batch_optimization.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install vertex_batch_optimization

            Only Windows 10 (64-Bit) is currently supported. Building the project requires. To initialize the build system and build dependencies, run setup.py from a Visual Studio 2017 Command Prompt. Once this is done, you can open sceneprocessor/build/vs2017/sceneprocessor.sln and visualizer/build/vs2017/visualizer.sln. The project relies on a few libraries, including boost (for a Fibonacci Heap implementation), and AMD Tootle and DirectXMesh (for implementations of various common vertex cache optimization algorithms). All necessary dependencies are included in the build/dependencies subdirectories of the respective subprojects.
            Visual Studio 2017 (15.7+),
            Windows SDK 10.0.17763.0,
            Python 3.6+.

            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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          • HTTPS

            https://github.com/GPUPeople/vertex_batch_optimization.git

          • CLI

            gh repo clone GPUPeople/vertex_batch_optimization

          • sshUrl

            git@github.com:GPUPeople/vertex_batch_optimization.git

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