Search Results for "skippy-mesh" - Page 5
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Showing 106 open source projects for "skippy-mesh"
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With the world of work changed forever, it’s essential to manage your workplace and assets together to effectively create a high-performing environment. The Eptura experience combines the power of workplace management software with asset management, enabling you to effectively operate your building and facilitate hybrid work.
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Drive amazing product experiences with quality product data.
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This Project is a library. It uses the FCollada and DevIL Library to read a given .dae file. The Data will be available for the user by one list of structs containing all the data of the submeshes the whole mesh consist of. Use SVN to checkout
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A collection of macros for POV-Ray to convert isosurface objects (typically complex and consumes a lot of render time) into simpler mesh objects, increasing render time at the expense of scene parsing time.
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RenderStack is a support library for OpenGL 3+, currently in C++. Features currently for example basic window creation, mesh generation, wrappers for OpenGL programs, framebuffer, texture and vertex buffer objects. Predecessor: https://github.com/tksuoran/renderstack_net Successor: https://github.com/tksuoran/RenderStack
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YesEvents offers a comprehensive suite of services that spans the entire conference lifecycle and ensures every detail is executed with precision. Our commitment to exceptional customer service extends beyond conventional boundaries, consistently exceeding expectations and enriching both organizer and attendee experiences.
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GrAL is a generic library in C++ for grid (or mesh) data structures and algorithms operating on them. It has been inspired by the success of the STL, and is similar in spirit to BGL and (though to a lesser extent) to CGAL .
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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.