Fix typo

README.rst

@@ -48,7 +48,7 @@ Ubuntu Linux
 ^^^^^^^^^^^^
 Python 2 + Qt4
 
-.. code::
+.. code:: shell
 
     sudo apt-get install pyqt4-dev-tools
     sudo pip install lxml
@@ -58,7 +58,7 @@ Python 2 + Qt4
 
 Python 3 + Qt5 (Recommanded)
 
-.. code::
+.. code:: shell
 
     sudo apt-get install pyqt5-dev-tools
     sudo pip3 install -r requirements/requirements-linux-python3.txt
@@ -67,10 +67,10 @@ Python 3 + Qt5 (Recommanded)
     python3 labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]
 
 macOS
-^^^^
+^^^^^
 Python 2 + Qt4
 
-.. code::
+.. code:: shell
 
     brew install qt qt4
     brew install libxml2
@@ -80,7 +80,7 @@ Python 2 + Qt4
 
 Python 3 + Qt5 (Recommanded)
 
-.. code::
+.. code:: shell
 
     brew install qt  # Install qt-5.x.x by Homebrew
     brew install libxml2
@@ -99,7 +99,7 @@ Python 3 + Qt5 (Recommanded)
 This can avoid a lot of the QT / Python version issues, and gives you a nice .app file with a new SVG Icon
 in your /Applications folder. You can consider this script: build-tools/build-for-macos.sh
 
-.. code::
+.. code:: shell
 
     brew install python3
     pip install pipenv
@@ -122,20 +122,20 @@ and `install lxml <http://lxml.de/installation.html>`__.
 
 Open cmd and go to the `labelImg <#labelimg>`__ directory
 
-.. code::
+.. code:: shell
 
     pyrcc4 -o resources.py resources.qrc
     python labelImg.py
     python labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]
 
 Windows + Anaconda
-^^^^^^^
+^^^^^^^^^^^^^^^^^^
 
 Download and install `Anaconda <https://www.anaconda.com/download/#download>`__ (Python 3+)
 
 Open the Anaconda Prompt and go to the `labelImg <#labelimg>`__ directory
 
-.. code::
+.. code:: shell
 
     conda install pyqt=5
     pyrcc5 -o resources.py resources.qrc
@@ -144,7 +144,7 @@ Open the Anaconda Prompt and go to the `labelImg <#labelimg>`__ directory
 
 Get from PyPI
 ~~~~~~~~~~~~~~~~~
-.. code::
+.. code:: shell
 
     pip install labelImg
     labelImg
@@ -154,7 +154,7 @@ I tested pip on Ubuntu 14.04 and 16.04. However, I didn't test pip on macOS and
 
 Use Docker
 ~~~~~~~~~~~~~~~~~
-.. code::
+.. code:: shell
 
     docker run -it \
     --user $(id -u) \
@@ -177,7 +177,7 @@ Usage
 -----
 
 Steps (PascalVOC)
-~~~~~
+~~~~~~~~~~~~~~~~~
 
 1. Build and launch using the instructions above.
 2. Click 'Change default saved annotation folder' in Menu/File
@@ -192,7 +192,7 @@ The annotation will be saved to the folder you specify.
 You can refer to the below hotkeys to speed up your workflow.
 
 Steps (YOLO)
-~~~~~
+~~~~~~~~~~~~
 
 1. In ``data/predefined_classes.txt`` define the list of classes that will be used for your training.
 
@@ -278,3 +278,4 @@ Related
 3. `Generating the PASCAL VOC TFRecord files <https://github.com/tensorflow/models/blob/4f32535fe7040bb1e429ad0e3c948a492a89482d/research/object_detection/g3doc/preparing_inputs.md#generating-the-pascal-voc-tfrecord-files>`__
 4. `App Icon based on Icon by Nick Roach (GPL)` <https://www.elegantthemes.com/> <https://www.iconfinder.com/icons/1054978/shop_tag_icon> __
 
+

build-tools/build-for-macos.sh

@@ -3,7 +3,7 @@
 brew install python@2
 pip install --upgrade virtualenv
 
-# clonde labelimg source
+# clone labelimg source
 rm -rf /tmp/labelImgSetup
 mkdir /tmp/labelImgSetup
 cd /tmp/labelImgSetup