kdmayer / pv_pipeline Goto Github PK

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

Python 100.00%

computer-vision solar-panels pv-systems earth-observation deepsolar renewable-energy tile-downloader tile-processor deep-learning remote-sensing

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rauschbe haoran-zh yunqiic 1luis11 nakhunchumpolsathien codecat741

pv_pipeline's Issues

About trained checkpoint

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.

Reproducible environment with conda-lock

I cannot reproduce your environment on a Ubuntu machine using the requirements.txt

PV_Pipeline/requirements.txt

Lines 3 to 7 in 8ff5c0f

 # 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.

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