From b828e8dde4cf25d495868239cd570fdd42a8a03a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?M=C3=A9lodie=20Boillet?= <boillet@teklia.com>
Date: Mon, 10 Jul 2023 06:37:02 +0000
Subject: [PATCH] Apply 1 suggestion(s) to 1 file(s)

---
 docs/usage/train/augmentation.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/usage/train/augmentation.md b/docs/usage/train/augmentation.md
index a2562ce5..3edb0704 100644
--- a/docs/usage/train/augmentation.md
+++ b/docs/usage/train/augmentation.md
@@ -127,8 +127,8 @@ This page lists data augmentation transforms used in DAN.
 
 ## Full augmentation pipeline
 
-* Data augmentation is applied with a probability of 0.9
-* In this case, two transformations are randomly selected to be applied
+* Data augmentation is applied with a probability of 0.9.
+* In this case, two transformations are randomly selected to be applied.
 * Reproducibility is possible by setting `random.seed` and `np.random.seed` (already done in `dan/ocr/document/train.py`)
 * Examples with new pipeline:
 
-- 
GitLab