COOCOP - Copyout and CopyPaiting implementation
This is an implementation of the Copyout and CopyPairing image augmentation techniques. The paper about this can be found here: Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairing
Installation
Install or update with pip:
pip install coocop -U
Install development version:
pip install git+https://github.com/t-systems-on-site-services-gmbh/coocop.git -U
Citation / BibTeX
This is how you can cite this work with LaTeX / BibTeX:
@article{Copyout,
title = "{Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairing}",
author = {Philip May},
journal = {arXiv.org},
year = "2019",
archivePrefix = {arXiv},
eprint = {arXiv:1909.00390 [cs.CV]},
url = {https://arxiv.org/abs/1909.00390},
}
Release files for coocop 0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| coocop-0.2.tar.gz | 2.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| coocop-0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.0 kB
Release files / coocop-0.2.tar.gz
| Download URL | coocop-0.2.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.6.9
|
Release files / coocop-0.2-py3-none-any.whl
| Download URL | coocop-0.2-py3-none-any.whl |
|---|---|
| Size | 4.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.6.9
|