diff --git a/dlib/add_python_module b/dlib/add_python_module
index bb2e2eed4..8e98ab538 100644
--- a/dlib/add_python_module
+++ b/dlib/add_python_module
@@ -4,6 +4,12 @@
 # The macro takes the module name as its first argument and then a list of
 # source files to compile into the module.  See ../tools/python/CMakeLists.txt
 # for an example.
+#
+# It also sets up a macro called install_${module_name}_to() where
+# ${module_name} is whatever you named your module.  This install_*_to() macro
+# takes a folder name and creates an install target that will copy the compiled
+# python module to that folder when you run "make install".  Note that the path
+# given to install_*_to() is relative to your CMakeLists.txt file.
 
 set(CMAKE_PREFIX_PATH ${CMAKE_PREFIX_PATH} 
         "C:/Program Files (x86)/boost/boost_1_*"  
@@ -54,5 +60,15 @@ macro(add_python_module module_name module_sources )
          OUTPUT_NAME ${module_name}
          )
    endif()
+
+   macro(install_${module_name}_to path)
+       # Determine the path to our CMakeLists.txt file.
+       string(REPLACE "CMakeLists.txt" "" base_path ${CMAKE_CURRENT_LIST_FILE})
+       INSTALL(TARGETS ${module_name}_ 
+           LIBRARY DESTINATION ${base_path}/${path}
+           )
+   endmacro()
 endmacro()
 
+
+
diff --git a/python_examples/compile_dlib_python_module.bat b/python_examples/compile_dlib_python_module.bat
new file mode 100755
index 000000000..88daaaf22
--- /dev/null
+++ b/python_examples/compile_dlib_python_module.bat
@@ -0,0 +1,4 @@
+mkdir build
+cd build
+cmake ../../tools/python
+cmake --build . --config Release --target install
diff --git a/python_examples/sequence_segmenter.py b/python_examples/sequence_segmenter.py
new file mode 100644
index 000000000..591ff6ff6
--- /dev/null
+++ b/python_examples/sequence_segmenter.py
@@ -0,0 +1,73 @@
+# You need to compile the dlib python interface before you can use this
+# file.  To do this, run compile_dlib_python_module.bat.  You also need to
+# have the boost-python library installed.  On Ubuntu, this can be done easily by running
+# the command: sudo apt-get install libboost-python-dev
+
+#  asfd
+import dlib
+
+use_sparse_vects = False 
+
+if use_sparse_vects:
+    samples = dlib.sparse_vectorss()
+else:
+    samples = dlib.vectorss()
+
+segments = dlib.rangess()
+
+if use_sparse_vects:
+    inside = dlib.sparse_vector()
+    outside = dlib.sparse_vector()
+    inside.append(dlib.pair(0,1))
+    outside.append(dlib.pair(1,1))
+else:
+    inside = dlib.vector([0, 1])
+    outside = dlib.vector([1, 0])
+
+samples.resize(2)
+segments.resize(2)
+
+samples[0].append(outside)
+samples[0].append(outside)
+samples[0].append(inside)
+samples[0].append(inside)
+samples[0].append(inside)
+samples[0].append(outside)
+samples[0].append(outside)
+samples[0].append(outside)
+segments[0]
+segments[0].append(dlib.range(2,5))
+
+
+samples[1].append(outside)
+samples[1].append(outside)
+samples[1].append(inside)
+samples[1].append(inside)
+samples[1].append(inside)
+samples[1].append(inside)
+samples[1].append(outside)
+samples[1].append(outside)
+segments[1].append(dlib.range(2,6))
+
+
+params = dlib.segmenter_params()
+#params.be_verbose = True
+params.window_size = 1
+params.use_high_order_features = False
+params.C = 1
+print "params:", params
+
+df = dlib.train_sequence_segmenter(samples, segments, params)
+
+print len(df.segment_sequence(samples[0]))
+print df.segment_sequence(samples[0])[0]
+
+
+
+print df.weights
+
+#res = dlib.test_sequence_segmenter(df, samples, segments)
+res = dlib.cross_validate_sequence_segmenter(samples, segments, 2, params)
+
+print res
+
diff --git a/tools/python/CMakeLists.txt b/tools/python/CMakeLists.txt
index 32b524de4..abf9be434 100644
--- a/tools/python/CMakeLists.txt
+++ b/tools/python/CMakeLists.txt
@@ -15,3 +15,5 @@ add_python_module(dlib
    src/cca.cpp
    src/sequence_segmenter.cpp
    )
+
+install_dlib_to(../../python_examples)