Data augmentation library for Deep Learning, which supports images, segmentation masks,
distance maps (e.g. signed distance fields), keypoints, bounding boxes and labels.
Furthermore, SOLT is fast and has OpenCV in its backend.
Full auto-generated docs and examples are available here: https://imedslab.github.io/solt/.
1 maintainer
Metadata
1 maintainer
Release files for solt 0.2.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| solt-0.2.2.tar.gz | 86.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| solt-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 134.5 kB
Release files / solt-0.2.2.tar.gz
| Download URL | solt-0.2.2.tar.gz |
|---|---|
| Size | 86.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.16
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Release files / solt-0.2.2-py3-none-any.whl
| Download URL | solt-0.2.2-py3-none-any.whl |
|---|---|
| Size | 47.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/7.0.0 CPython/3.13.16
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Security for solt 0.2.2
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