A library for image augmentation in machine learning experiments, particularly convolutional neural networks. Supports the augmentation of images, keypoints/landmarks, bounding boxes, heatmaps and segmentation maps in a variety of different ways.
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Release files for imgaug 0.4.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| imgaug-0.4.0.tar.gz | 937.3 kB | Without provenance | Details for imgaug-0.4.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| imgaug-0.4.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for imgaug-0.4.0-py2.py3-none-any.whl |
Total release size: 1.9 MB
Release files / imgaug-0.4.0.tar.gz
| Download URL | imgaug-0.4.0.tar.gz |
|---|---|
| Size | 937.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/1.12.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2.post20191201 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.3
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Release files / imgaug-0.4.0-py2.py3-none-any.whl
| Download URL | imgaug-0.4.0-py2.py3-none-any.whl |
|---|---|
| Size | 948.0 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2.post20191201 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.3
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Security for imgaug 0.4.0
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