vault/albumentations: Fast image augmentation library and an easy

зеркало

https://github.com/albumentations-team/albumentations.git PULL

Update README.md to stress the pixel-level augmentation (#1216) Update README.md to stress the pixel-level augmentation Co-authored-by: Mikhail Druzhinin <dipetm@gmail.com> Co-authored-by: Vladimir Iglovikov <ternaus@users.noreply.github.com>

Автор

JayChen

Коммитер

GitHub

3 года назад

Файлов изменено: 1

+1–1

ed7626f

Родители 391ac81 color_module

README.md

+1–1

		@@ -4,7 +4,7 @@

		Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to increase the quality of trained models. The purpose of image augmentation is to create new training samples from the existing data.

		Here is an example of how you can apply some augmentations from Albumentations to create new images from the original one:
		Here is an example of how you can apply some [pixel-level](#pixel-level-transforms) augmentations from Albumentations to create new images from the original one:
		![parrot](https://habrastorage.org/webt/bd/ne/rv/bdnerv5ctkudmsaznhw4crsdfiw.jpeg)

		## Why Albumentations

Update README.md to stress the pixel-level augmentation (#1216)

GPG верификация

Cherry-pick