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PyTorch models and pipeline developed for "DeepSolar for Germany". For reference, the paper can found at https://ieeexplore.ieee.org/document/9203258
License: MIT License
pv_pipeline's Introduction
๐ญ Iโm a PhD Candidate and Satre Family Fellow at Stanford University. Feel free to check out my webpage .
๐ฑ Iโm working on reconstructing 3D building models from airborne LiDAR and floor plan images at scale.
โก At the moment, I am mostly working with diffusion-based generative ML algorithms for 3D graphs.
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pv_pipeline's Issues
Dear authors of deep solar for germany,
Is there a trained checkpoint for classifying solar panels ?
I saw 'checkpoint_path' in config.yml file, but there isn't any checkpoint file in this directory.
Thank you in advance.
Regards, YJHong.
I cannot reproduce your environment on a Ubuntu machine using the requirements.txt
# platform: osx-64
affine =2.3.0=py_0
attrs =20.1.0=pyh9f0ad1d_0
backports =1.0=py_2
backports.functools_lru_cache =1.6.1=py_0
as it includes osx-specific build names for the packages. Could you generate a new
environment.yml
using
conda-lock instead of
conda-export
as
its use is discouraged for reproducible environments ?
I tried to just remove the build numbers using https://stackoverflow.com/a/56780297/3342058 but that didn't work. I guess one would need a matching OS, python version and conda version to be able to reproduce it.