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DekuLiuTesla / CityGaussian

CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians
https://dekuliutesla.github.io/CityGaussianV2
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Preparation of LoD part #11

Closed ArthurXu0101 closed 2 months ago

ArthurXu0101 commented 2 months ago 
          Hi there, I got some questions about LoD part. I wonder what 's the next step after merging parallel blocks, i.e., I followed the scripts but when calling render_large_lod.py, it went wrong with failing to find "output/datasetname_40_vq". I noticed that there is a "compress" operation in the LoD illustration figure, but I couldn't find coreesponding function. In addition, the config file config/datasetname_lod.yaml contains 'lod_configs' param in model_params, which I assume is needed to run render_large_lod.py. So how should 'lod_configs' be prepared, perhaps with a 'compress' operation? I am using a custom colormap dataset stuructured like:

xxx_COLMAP

Originally posted by @ArthurXu0101 in https://github.com/DekuLiuTesla/CityGaussian/issues/3#issuecomment-2290493244

DekuLiuTesla commented 2 months ago

Hi, thanks for your feedback. It seems that LoD Generation step is lost, which is mentioned in Rendering with LoD of README. LargeLightGaussian supports this part and you may need to install this submodule first.