gl_cadscene_rendertechniques
gl_occlusion_culling
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4 months ago | 4 months ago | |
C++ | C++ | |
Apache License 2.0 | Apache License 2.0 |
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gl_cadscene_rendertechniques
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Has anyone used Intel's Masked Occlusion Culling library?
And this, for some profiling results: https://github.com/nvpro-samples/gl_cadscene_rendertechniques
gl_occlusion_culling
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Occlusion Culling Dilemma
A low-latency (and frankly better) alternative to hardware occlusion queries is to make your own using indirect drawing. Simply draw a chunk's bounding box against the depth buffer and set the instance count of the indirect struct to one if any fragments are drawn. The next frame you can use these indirect commands to draw the actual chunk geometry and repeat the whole process. This has a guaranteed latency of one frame. More info here.
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Occlusion Culling for Chunks?
One approach is to use occlusion queries, draw chunks which were visible last frame and then occlusion test the bounding volumes of chunks which weren't rendered and render the ones which pass using a shader based occlusion approach similar to this NVIDIA sample: https://github.com/nvpro-samples/gl_occlusion_culling
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Has anyone used Intel's Masked Occlusion Culling library?
For occlusion culling, specifically, there’s this reference implementation: https://github.com/nvpro-samples/gl_occlusion_culling
What are some alternatives?
onnx-tensorrt - ONNX-TensorRT: TensorRT backend for ONNX
filament - Filament is a real-time physically based rendering engine for Android, iOS, Windows, Linux, macOS, and WebGL2
obs-StreamFX - StreamFX is a plugin for OBS® Studio which adds many new effects, filters, sources, transitions and encoders! Be it 3D Transform, Blur, complex Masking, or even custom shaders, you'll find it all here.
CornerCulling - Fast and Maximally Accurate Occlusion Culling
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
bgfx - Cross-platform, graphics API agnostic, "Bring Your Own Engine/Framework" style rendering library.
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
EveryCulling - This library integrates multiple culling methods into one library.