From aeab9b78027ce52586829fe4141400b456a0d3b1 Mon Sep 17 00:00:00 2001
From: Patrick Jentsch <p.jentsch@uni-bielefeld.de>
Date: Tue, 18 Jan 2022 13:46:52 +0100
Subject: [PATCH] Fix enumeration in readme

---
 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 85624d9..98834e5 100644
--- a/README.md
+++ b/README.md
@@ -14,10 +14,10 @@ This software implements a heavily parallelized pipeline to recognize text in PD
 
 1. Install Docker and Python 3.
 2. Clone this repository: `git clone https://gitlab.ub.uni-bielefeld.de/sfb1288inf/ocr.git`
-2. Build the Docker image: `docker build -t gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/ocr:v0.1.0 ocr`
-2. Add the wrapper script (`wrapper/ocr` relative to this README file) to your `${PATH}`.
-3. Create working directories for the pipeline: `mkdir -p /<my_data_location>/{input,models,output}`.
-4. Place your Tesseract OCR model(s) inside `/<my_data_location>/models`.
+3. Build the Docker image: `docker build -t gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/ocr:v0.1.0 ocr`
+4. Add the wrapper script (`wrapper/ocr` relative to this README file) to your `${PATH}`.
+5. Create working directories for the pipeline: `mkdir -p /<my_data_location>/{input,models,output}`.
+6. Place your Tesseract OCR model(s) inside `/<my_data_location>/models`.
 
 ## Use the Pipeline