CAKED
A package to load tomograms and subtomograms from different sources into a PyTorch DataLoader class.
The DiskDataLoader and DiskDataset classes were initially developed for Affinity-VAE by Marjan Famili (@marjanfamili), Jola Mirecka (@jolaem) and Camila Rangel-Smith (@crangelsmith). These authors have also prepared and curated the corresponding test data.
Installation
python -m venv env
source env/bin/activate
python -m pip install --upgrade pip
python -m pip install caked
From source:
git clone https://github.com/alan-turing-institute/CAKED
cd CAKED
python -m pip install .
Usage
Contributing
See CONTRIBUTING.md for instructions on how to contribute.
License
Distributed under the terms of the MIT license.
This packaged was based on this very useful and well built project template.
Metadata
Release files for CAKED 0.1.7
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| caked-0.1.7.tar.gz | 9.9 kB | With provenance | Details for caked-0.1.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| caked-0.1.7-py3-none-any.whl | Python 3 | none | any | Details for caked-0.1.7-py3-none-any.whl |
Total release size: 17.5 kB
Release files / caked-0.1.7.tar.gz
| Download URL | caked-0.1.7.tar.gz |
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| Size | 9.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Download URL | caked-0.1.7-py3-none-any.whl |
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| Size | 7.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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Provenance
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Transparency logSecurity for CAKED 0.1.7
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Signed by GitHub Actions, verified by PyPI on Jun 25, 2025.
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