"auto data augment for deep learining task"
Project description
Auto Augment
自动数据增强组件库，封装常用自动增强算法，简化自动数据增强机制的应用流程
使用教程
测试
如何执行自动化测试
如何贡献
贡献patch流程及质量要求
版本信息
本项目的各版本信息和变更历史可以在这里查看。
维护者
owners
- lishupeng(lishupeng@baidu.com)
committers
- lishupeng(lishupeng@baidu.com)
讨论
百度Hi交流群：群号
Changelog
以下记录了项目中所有值得关注的变更内容，其格式基于Keep a Changelog。
本项目版本遵守Semantic Versioning和PEP-440。
Unreleased
Added
- 这里记录新添加的内容
Changed
- 这里记录变更的内容
0.1.0 - 2020-04-16
Added
- 创建项目
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size auto_augment-1.0.0-cp35-cp35m-manylinux1_x86_64.whl (96.9 MB) | File type Wheel | Python version cp35 | Upload date | Hashes View |
| Filename, size auto_augment-1.0.0-cp36-cp36m-manylinux1_x86_64.whl (97.5 MB) | File type Wheel | Python version cp36 | Upload date | Hashes View |
| Filename, size auto_augment-1.0.0-cp37-cp37m-manylinux1_x86_64.whl (97.4 MB) | File type Wheel | Python version cp37 | Upload date | Hashes View |
| Filename, size auto_augment-1.0.0-cp38-cp38-manylinux1_x86_64.whl (98.4 MB) | File type Wheel | Python version cp38 | Upload date | Hashes View |
| Filename, size auto_augment-1.0.0-cp39-cp39-manylinux1_x86_64.whl (97.2 MB) | File type Wheel | Python version cp39 | Upload date | Hashes View |
Close
Hashes for auto_augment-1.0.0-cp35-cp35m-manylinux1_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5e753d92cedc9c8c7d21d72d82d9d04bd00386c86533e925911038af0b960d67 |
|
| MD5 | 86234fc43c19c52ed313d6bfbb12c732 |
|
| BLAKE2-256 | 6ce81fff6552dfc0d662cb513b0004f4724c8e53356bd050250a550d31c3d246 |
Close
Hashes for auto_augment-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 551294f78285424937394d0bd89958fc1ef1ae717272bc420533346bab61c955 |
|
| MD5 | b329c4993542f289c9fe7872c5f86299 |
|
| BLAKE2-256 | 14964389f08a625c396a1698f3c5114528911022837879bbcbf2f209d3e819a3 |
Close
Hashes for auto_augment-1.0.0-cp37-cp37m-manylinux1_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6d97d0619e28c6e30a9100a3062b84fcfd0915d15f6777d977f9a4dd6f71414a |
|
| MD5 | 004cc84c9114dccd4ae70d3b42ad5bb1 |
|
| BLAKE2-256 | c96d8df7155713534f2854b11fae44e8a2ee0af42340c89bfe5a9bc96f5751d5 |
Close
Hashes for auto_augment-1.0.0-cp38-cp38-manylinux1_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 274e2c504c385f7449b0fb080cd001f960eda92d9ac2c6d836297f6f6a605157 |
|
| MD5 | e8d2f8d2f4012a2bf0a68d4d79d78182 |
|
| BLAKE2-256 | c67305c8033adc27b0e26117dd2f2b65e00b8e07315aaca43d3aecfb654ceaf9 |
Close
Hashes for auto_augment-1.0.0-cp39-cp39-manylinux1_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 82959000b3732231a1df92f574f6b5c545e8a27e12f56fa1d97133ac0a604a2b |
|
| MD5 | 975c767919413cf8dc57e0d7b4d91200 |
|
| BLAKE2-256 | 12169eaad2cf7ab64ccdb1c458079b4b75b2f8e560caec50cfc6b5c8c88ca4cd |
