UniqAI/gaussian-splatting
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bkerbl 2023-07-12 11:51:34 +02:00
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@ -394,9 +394,9 @@ Our COLMAP loaders expect the following dataset structure in the source path loc
| |---... | |---...
|---sparse |---sparse
|---0 |---0
|---cameras.bin | cameras.txt |---cameras.bin
|---images.bin | images.txt |---images.bin
|---points3D.bin | points3D.txt |---points3D.bin
``` ```
For rasterization, the camera models must be either a SIMPLE_PINHOLE or PINHOLE camera. We provide a converter script ```convert.py```, to extract undistorted images and SfM information from input images. 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```. For rasterization, the camera models must be either a SIMPLE_PINHOLE or PINHOLE camera. We provide a converter script ```convert.py```, to extract undistorted images and SfM information from input images. 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```.