Skip to main content

Experimental functionality for the Albumentaions library.

Project description

Albumentations Experimental

The Albumentations Experimental library provides experimental and cutting edge augmentation techniques on top Albumentations.

Why a separate library

Albumentations provides stable and well-tested interfaces for performing augmentations. We don't want to pollute the library with features that may be prone to rapid changes in interfaces and behavior since they could break users' pipelines. But we also want to implement new, experimental features and see whether they will be useful.

So we created Albumentations Experimental, a library that will help us to iterate faster and remove the need for striving for backward compatibility and rigorous testing.

Beware, that each new version of Albumentations Experimental may contain backward-incompatible changes both in interfaces and behavior.

When features in Albumentations Experimental are mature enough, we will port them to the main library with all our usual policies such as rigorous testing, extensive documentation, and stable behavior.

Installation

Albumentations Experimental requires Python 3.5 or higher.

Install the latest stable version from PyPI

pip install -U albumentations_experimental

Install the latest version from the master's branch on GitHub

pip install -U git+https://github.com/albumentations-team/albumentations-experimental

Usage

Import augmentations from the library:

from albumentations_experimental import FlipSymmetricKeypoints

Documentation

Documentation is available at https://albumentations.ai/docs/experimental/overview/

List of augmentations and their supported targets

Spatial-level transforms

Transform Image Masks BBoxes Keypoints
FlipSymmetricKeypoints
HorizontalFlipSymmetricKeypoints
TransposeSymmetricKeypoints
VerticalFlipSymmetricKeypoints

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

albumentations_experimental-0.0.1.tar.gz (5.1 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file albumentations_experimental-0.0.1.tar.gz.

File metadata

  • Download URL: albumentations_experimental-0.0.1.tar.gz
  • Upload date:
  • Size: 5.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.3

File hashes

Hashes for albumentations_experimental-0.0.1.tar.gz
Algorithm Hash digest
SHA256 4093aa7df6c20d7b42806af9e962fccb83ad3f64dbb9c2b7c176e30ff8f2933c
MD5 76004ae045a2cf45ea08b796d7f31472
BLAKE2b-256 8f94e7de86cee07f1360df1a014d9b480be833911d75bdee543cf213d2580aba

See more details on using hashes here.

File details

Details for the file albumentations_experimental-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: albumentations_experimental-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 5.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.3

File hashes

Hashes for albumentations_experimental-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 639a2222af4941435eebc1c0350af6eb70c10b4efa16c5c09db69492c69dfbac
MD5 a731502c3d5bab36599759c948efa6b0
BLAKE2b-256 64315b71e25c44e90b3fcdc99e31f99e5e7af575482a8ad95c496b8b25726709

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page