UniqAI/gaussian-splatting
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@ -261,7 +261,7 @@ python full_eval.py -m <directory with evaluation images>/garden ... --skip_trai
<br>
## Interactive Viewers
We provide two interactive iewers for our method: remote and real-time. Our viewing solutions are based on the SIBR framework.
We provide two interactive iewers for our method: remote and real-time. Our viewing solutions are based on the [SIBR](https://sibr.gitlabpages.inria.fr/) framework, developed by the GRAPHDECO group for several novel-view synthesis projects.
### Hardware Requirements
- OpenGL 4.5-ready GPU
@ -321,8 +321,9 @@ It should suffice to provide the ```-m``` parameter pointing to a trained model
**To unlock the full frame rate, please disable V-Sync on your machine and also in the application (Menu &rarr; Display).**
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.
SIBR has many other functionalities, please see the [documentation](https://sibr.gitlabpages.inria.fr/) for more detials on the viewer, navigation options etc. There is also a Top View (available from the menu) that shows the placement of the input cameras and the original SfM point cloud; please note that Top View slows rendering when enabled.
## Converting your own Scenes
## Preprocessing your own Scenes
We provide a converter script ```convert.py```, which uses COLMAP to extract SfM information. Optionally, you can use ImageMagick to resize the undistorted images. This rescaling is similar to MipNeRF360, i.e., it creates images with 1/2, 1/4 and 1/8 the original resolution in corresponding folders. To use them, please first install a recent version of COLMAP (ideally CUDA-powered) and ImageMagick. Put the images you want to use in a directory ```<location>/input```. If you have COLMAP and ImageMagick on your system path, you can simply run
```shell