From 06dac652f4016ef330ae3d74cdf748d9db394c81 Mon Sep 17 00:00:00 2001
From: Stefan Reck <stefan.reck@fau.de>
Date: Tue, 13 Apr 2021 14:56:12 +0200
Subject: [PATCH] docs
---
docs/getting_started.rst | 8 ++++----
docs/orcasong.rst | 8 ++++----
2 files changed, 8 insertions(+), 8 deletions(-)
diff --git a/docs/getting_started.rst b/docs/getting_started.rst
index fd0babb..b0fa1d5 100644
--- a/docs/getting_started.rst
+++ b/docs/getting_started.rst
@@ -20,13 +20,13 @@ the 'h5extract' command of km3pipe like so::
yourself and let people know.
-Step 2: From h5 aanet files to DL files
----------------------------------------
-Produce DL files from the aanet h5 files using OrcaSong.
+Step 2: From h5 aanet files to h5 DL files
+------------------------------------------
+Produce DL h5 files from the aanet h5 files using OrcaSong.
You can either produce images or graphs. See :ref:`orcasong_page` for
instructions on how to do this.
-The resulting DL files can already be used as input for networks!
+The resulting DL h5 files can already be used as input for networks!
Step 3: Concatenate
-------------------
diff --git a/docs/orcasong.rst b/docs/orcasong.rst
index 7ad9019..659e46c 100644
--- a/docs/orcasong.rst
+++ b/docs/orcasong.rst
@@ -1,10 +1,10 @@
.. _orcasong_page:
-Producing DL files from h5
-==========================
+Producing DL h5 files from aanet h5 files
+=========================================
-Describes how to use OrcaSong to produce files for Deep Learning
-from h5 files. These files can contain either images (for convolutional
+Describes how to use OrcaSong to produce h5 files for Deep Learning
+from aanet h5 files. These files can contain either images (for convolutional
networks), or graphs (for Graph networks).
.. contents:: :local:
--
GitLab