Git commit adbced99fa0ca801ecd20b6e4ed5b2e9b2d2a1cf by Yuri Chornoivan.
Committed on 18/09/2016 at 10:14.
Pushed by yurchor into branch 'master'.

Fix minor typos

M  +2    -2    digikam/using-mainwindow.docbook

http://commits.kde.org/digikam-doc/adbced99fa0ca801ecd20b6e4ed5b2e9b2d2a1cf

diff --git a/digikam/using-mainwindow.docbook b/digikam/using-mainwindow.docbook
index 27941e9..335b335 100644
--- a/digikam/using-mainwindow.docbook
+++ b/digikam/using-mainwindow.docbook
@@ -828,7 +828,7 @@
         <sect3> <title>Face Recognition</title>
 
             <para>
-                Assigning People tags to face tags is an important 
prerequisite to Face Recognition. Very obviously &digikam; can only recognize 
faces if it has something to compare with. So it's up to you to show it the 
ropes, which means in this case to tell &digikam;: This is Lara, this is Juan, 
this is Peter an so forth. For that you would, after performing a Face 
Detection as described in the previous article, typically select the 
<quote>unknown</quote> tag on the Left Sidebar, click on a thumbnail and click, 
if necessary, on the 
+                Assigning People tags to face tags is an important 
prerequisite to Face Recognition. Very obviously &digikam; can only recognize 
faces if it has something to compare with. So it's up to you to show it the 
ropes, which means in this case to tell &digikam;: This is Lara, this is Juan, 
this is Peter and so forth. For that you would, after performing a Face 
Detection as described in the previous article, typically select the 
<quote>unknown</quote> tag on the Left Sidebar, click on a thumbnail and click, 
if necessary, on the 
                 <inlinemediaobject>
                     <imageobject><imagedata 
fileref="&path;using-mainwindow-icon-showfacetags.png" format="PNG" 
/></imageobject>
                 </inlinemediaobject> 
@@ -848,7 +848,7 @@
             </para>
 
             <para>
-                In case of unsatisfying results it might be helpful to use 
<guilabel>Clear and rebuild all training data</guilabel>. One reason can be 
that there are to many face tags assigned to a person which shows this person 
in a way that doesn't really help the search algorithm, &eg; with sunglasses, 
blurred, unusual colors, carnival make up, dark shaded areas in the face, 
baby/kid/adult photographs mixed...  Another reason to use that option can be 
false face recognition due to a wrong accuracy setting in the 
<guilabel>Parameters</guilabel> tab.
+                In case of unsatisfying results it might be helpful to use 
<guilabel>Clear and rebuild all training data</guilabel>. One reason can be 
that there are too many face tags assigned to a person which shows this person 
in a way that doesn't really help the search algorithm, &eg; with sunglasses, 
blurred, unusual colors, carnival make up, dark shaded areas in the face, 
baby/kid/adult photographs mixed...  Another reason to use that option can be 
false face recognition due to a wrong accuracy setting in the 
<guilabel>Parameters</guilabel> tab.
             </para>
 
             <para>

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