[digikam-doc] digikam: Fix typo, add some formatting

[Yuri Chornoivan]

Git commit fb509fac79b66a95e8b8c3293d9d63a0e1cd136e by Yuri Chornoivan.
Committed on 18/09/2016 at 09:07.
Pushed by yurchor into branch 'master'.

Fix typo, add some formatting

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

http://commits.kde.org/digikam-doc/fb509fac79b66a95e8b8c3293d9d63a0e1cd136e

diff --git a/digikam/using-mainwindow.docbook b/digikam/using-mainwindow.docbook
index 43b4eb5..27941e9 100644
--- a/digikam/using-mainwindow.docbook
+++ b/digikam/using-mainwindow.docbook
@@ -812,7 +812,7 @@
             </para>
 
             <para>
-                This screenshot image hav been chosen because it shows one important issue: the algorithm will find inevitably details in an image that resemble a face but are actually something else. That's what the <guilabel>Remove</guilabel> button is for. It will remove the face tag from the photograph and if it is the only face tag (left) the photograph will disappear from the scan result.
+                This screenshot image have been chosen because it shows one important issue: the algorithm will find inevitably details in an image that resemble a face but are actually something else. That's what the <guilabel>Remove</guilabel> button is for. It will remove the face tag from the photograph and if it is the only face tag (left) the photograph will disappear from the scan result.
             </para>
 
             <para>
@@ -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, ⪚ 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 Parameters 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 to many face tags assigned to a person which shows this person in a way that doesn't really help the search algorithm, ⪚ 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>