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Download and manage sky images for solar power forecasting.

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skyimages

PyPI - Downloads GitHub issues by-label

Download sky images for solar power forecasting as pytorch-ready datasets. The package is still in early development and not stable. Please report bugs in the Issues.

Installation using pypi

From release v0.0.1, skyimages will be installable via pip:

pip install skyimages

Installation using github

Download skyimages from github. Change the CWD to the download folder skyimages/ and install the package using pip.

git clone git@github.com:FlorianK13/skyimages.git
cd skyimages
pip install .

Getting started

To download the dataset SKIPP'D (source) and use it as a pytorch torchvision dataset, run the following code in python

from skyimages.dataset import SKIPPDDataSet
import torch


traindata = SKIPPDDataSet(download=True)
testdata = SKIPPDDataSet(download=True, train=False)

trainloader = torch.utils.data.DataLoader(
    traindata, batch_size=200, shuffle=True, num_workers=0
)
testloader = torch.utils.data.DataLoader(
    testdata, batch_size=20, shuffle=False, num_workers=0
)

Implemented data sets

Contributing

Contributions and cooperations are highly welcome. If interested, just create an issue and we can discuss further details.

About

Download and manage sky images for solar power forecasting.

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