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https://github.com/graphdeco-inria/gaussian-splatting
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Single viewers submodule, updated readme
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[submodule "submodules/simple-knn"]
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path = submodules/simple-knn
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url = https://gitlab.inria.fr/bkerbl/simple-knn.git
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[submodule "SIBR_viewers_windows"]
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path = SIBR_viewers_windows
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url = https://gitlab.inria.fr/sibr/sibr_core.git
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[submodule "SIBR_viewers_linux"]
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path = SIBR_viewers_linux
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url = https://gitlab.inria.fr/sibr/sibr_core.git
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[submodule "submodules/diff-gaussian-rasterization"]
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path = submodules/diff-gaussian-rasterization
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url = https://github.com/graphdeco-inria/diff-gaussian-rasterization
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[submodule "SIBR_viewers"]
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path = SIBR_viewers
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url = https://gitlab.inria.fr/sibr/sibr_core
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@ -301,10 +301,10 @@ The network viewer allows you to connect to a running training process on the sa
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### Running the Real-Time Viewer
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After extracting or installing the viewers, you may run the compiled ```SIBR_gaussianViewer_app[_config]``` app in ```<SIBR install dir>/bin```, e.g.:
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```shell
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./<SIBR install dir>/bin/SIBR_gaussianViewer_app --model-path <path to trained model>
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./<SIBR install dir>/bin/SIBR_gaussianViewer_app -m <path to trained model>
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```
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It should suffice to provide the ```--model-path``` parameter pointing to a trained model directory. Alternatively, you can specify an override location for training input data using ```--path```. To use a specific resolution other than the auto-chosen one, specify ```--rendering-size <width> <height>```. To unlock the full frame rate, please disable V-Sync on your machine and also in the application (Menu → Display).
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It should suffice to provide the ```--model-path``` parameter pointing to a trained model directory. Alternatively, you can specify an override location for training input data using ```-s```. To use a specific resolution other than the auto-chosen one, specify ```--rendering-size <width> <height>```. To unlock the full frame rate, please disable V-Sync on your machine and also in the application (Menu → Display).
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In addition to the intial point cloud and the splats, you also have the option to visualize the Gaussians by rendering them as ellipsoids from the floating menu.
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Subproject commit ae39c0af8c57bbb024da3c3517ae6e96e142a498
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