Bulk image processing

Project description

Wildebeest

wildebeest stampede

Wildebeest is a file processing framework. It is designed for IO-bound workflows that involve reading files into memory, processing their contents, and writing out the results. It makes running those workflows faster and more reliable by parallelizing across files, handling errors, making it easy to skip files that have already been processed, and keeping organized records of what was done.

Wildebeest was developed for deep learning computer vision projects, so in addition to the general framework it also provides predefined components for image processing. However, it can be used for any project that involves processing data from many sources.

See the docs for more details.

Wildebeest was known as Creevey until version 3.0.0.

Project details

Release history Release notifications | RSS feed

5.0.0

Aug 21, 2020

4.1.0

Aug 21, 2020

4.0.0

Aug 5, 2020

3.0.3

Jul 30, 2020

3.0.2

Jul 29, 2020

This version

3.0.1

Jul 29, 2020

3.0.0

Jul 29, 2020

Download files

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

Source Distribution

wildebeest-3.0.1.tar.gz (16.6 kB view details)

Uploaded Jul 29, 2020 Source

Built Distribution

wildebeest-3.0.1-py3-none-any.whl (23.2 kB view details)

Uploaded Jul 29, 2020 Python 3

File details

Details for the file wildebeest-3.0.1.tar.gz.

File metadata

Download URL: wildebeest-3.0.1.tar.gz
Upload date: Jul 29, 2020
Size: 16.6 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.5

File hashes

Hashes for wildebeest-3.0.1.tar.gz
Algorithm	Hash digest
SHA256	`c2d6d073917c2c342a334f078aaea40ac607c07aaf954f277ab3ca8ca52d4611`
MD5	`443d313e432d3766d243ef1eaa69288e`
BLAKE2b-256	`0a81fc3c35f7ea670d46a32867e3941bdc713d291c77b216046864453078be14`

See more details on using hashes here.

File details

Details for the file wildebeest-3.0.1-py3-none-any.whl.

File metadata

Download URL: wildebeest-3.0.1-py3-none-any.whl
Upload date: Jul 29, 2020
Size: 23.2 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/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.5

File hashes

Hashes for wildebeest-3.0.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`3a12f8a6874681c38ba4a78ed4df1497b82b447c46a7f2cb741e194b7a2ba38a`
MD5	`a657ca0b006847567c4f43c6a4abffa7`
BLAKE2b-256	`689a9eafd8b23276b82e482e90a99bbbfd4807df52a4361d1490a1f0fd4e88f3`