From 2a020954fb356fe9b3c2d8df4439de054f0afa34 Mon Sep 17 00:00:00 2001
From: "Gerber, Mike" <mike.gerber@sbb.spk-berlin.de>
Date: Wed, 15 Mar 2023 19:40:43 +0100
Subject: [PATCH] =?UTF-8?q?=E2=9C=92=20README:=20Update=20that=20we=20have?=
 =?UTF-8?q?=20images=20again=20+=20how=20to=20download=20models?=
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---
 README.md | 25 ++++++++++++++++---------
 1 file changed, 16 insertions(+), 9 deletions(-)

diff --git a/README.md b/README.md
index 65e6e3e..e39581b 100644
--- a/README.md
+++ b/README.md
@@ -29,14 +29,9 @@ including all dependencies in Docker.
 
 How to use
 ----------
-**Currently, due to problems with the Travis CI, we do not provide pre-built
-containers anymore.***
-
-To build the containers yourself using Docker:
-~~~
-cd ~/devel/ocrd-galley/
-./build
-~~~
+ocrd-galley uses Docker to run the OCR-D images. We provide pre-built container
+images that get downloaded automatically when you run the provided wrappers for
+the OCR-D processors.
 
 You can then install the wrappers into a Python venv:
 ~~~
@@ -44,9 +39,13 @@ cd ~/devel/ocrd-galley/wrapper
 pip install .
 ~~~
 
+To download models, you need to use the `-a` flag of `ocrd resmgr`:
+~~~
+ocrd resmgr download -a ocrd-calamari-recognize default
+~~~
+
 You may then use the script `my_ocrd_workflow` to use your self-built
 containers on an example workspace:
-
 ~~~
 # Download an example workspace
 cd /tmp
@@ -110,3 +109,11 @@ cd workspace-xxxxx  # output by the last command
 ~~~
 
 This produces a workspace from the files and then runs the OCR workflow on it.
+
+Build the containers yourself
+-----------------------------
+To build the containers yourself using Docker:
+~~~
+cd ~/devel/ocrd-galley/
+./build
+~~~