Image augmentation library for deep neural networks
Project description
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.
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.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
imgaug_denk-0.4.6-py3-none-any.whl
(961.2 kB
view details)
File details
Details for the file imgaug_denk-0.4.6-py3-none-any.whl.
File metadata
- Download URL: imgaug_denk-0.4.6-py3-none-any.whl
- Upload date:
- Size: 961.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4036d630e6d61db44ef446e401d480e1118d50610fd62328b7f262838e28583e
|
|
| MD5 |
2adf4ae0f771a03a971679439e4f56b9
|
|
| BLAKE2b-256 |
83c426d8aac42fc7a826225e6cefe0053074c9cbacfc624c9f9bf5995bdce585
|
