supports them.

normalize_image_gradients(), line, signed_distance_to_line(),
distance_to_line(), reverse(), intersect(), count_points_on_side_of_line(),
count_points_between_lines(), dot(), and normalize() to Python API.

conform to dlib's generic image interface.  This makes dealing with
numpy images in pybind11 modules much nicer.

* Fixed reference count issue

* Fixed refcount issue in Python dlib.jitter_image and dlib.get_face_chips

* Consolidation of https://github.com/davisking/dlib/pull/1249

* Fixed build issue

* Fixed: Paths in a pytest file should be relative to dlib root

* Skip numpy return tests for Python 2.7 or if Numpy is not installed

* Enabled numpy returns tests on Python 2.7 using cPickle.dumps

* Replace boost::python with pybind11

* Replace add_python_module with pybind11_add_module

* Fix clang error on type-dependent expression

* Exposed jitter_image in Python and added an example

* Return Numpy array directly

* Require numpy during setup

* Added install of Numpy before builds

* Changed pip install for user only due to security issues.

* Removed malloc

* Made presence of Numpy during compile optional.

* Conflict

* Refactored get_face_chip/get_face_chips to use Numpy as well.

--HG--
rename : dlib/add_global_compiler_switch.cmake => dlib/cmake_utils/add_global_compiler_switch.cmake
rename : dlib/add_python_module => dlib/cmake_utils/add_python_module
rename : dlib/cmake_find_blas.txt => dlib/cmake_utils/cmake_find_blas.txt
rename : dlib/dlib.pc.in => dlib/cmake_utils/dlib.pc.in
rename : dlib/dlibConfig.cmake.in => dlib/cmake_utils/dlibConfig.cmake.in
rename : dlib/release_build_by_default => dlib/cmake_utils/release_build_by_default
rename : dlib/tell_visual_studio_to_use_static_runtime.cmake => dlib/cmake_utils/tell_visual_studio_to_use_static_runtime.cmake
rename : dlib/dnn/test_for_cpp11/CMakeLists.txt => dlib/cmake_utils/test_for_cpp11/CMakeLists.txt
rename : dlib/dnn/test_for_cpp11/cpp11_test.cpp => dlib/cmake_utils/test_for_cpp11/cpp11_test.cpp
rename : dlib/dnn/test_for_cuda/CMakeLists.txt => dlib/cmake_utils/test_for_cuda/CMakeLists.txt
rename : dlib/dnn/test_for_cuda/cuda_test.cu => dlib/cmake_utils/test_for_cuda/cuda_test.cu
rename : dlib/dnn/test_for_cudnn/CMakeLists.txt => dlib/cmake_utils/test_for_cudnn/CMakeLists.txt
rename : dlib/dnn/test_for_cudnn/find_cudnn.txt => dlib/cmake_utils/test_for_cudnn/find_cudnn.txt
rename : dlib/use_cpp_11.cmake => dlib/cmake_utils/use_cpp_11.cmake

a little bit.

This aids an API for the correlation based tracker that Davis
recently added to Dlib. I've made sure to allow overrides for
passing normal rectangles rather than drectangles (which isn't
currently supported in the Dlib C++ API). This is mostly
because I imagine people might initialize the tracking using
something like a bounding box from a detector (e.g.
load_frontal_face_detector).

The correlation tracker deals with the drectangle
(double rectangle) class which currently isn't wrapped. Therefore,
I add the drectangle class and refactor rectangles into their
own file. I also added a load of methods on rectangle that might
be useful such as intersection/contains/area etc.

I also cleaned up a bunch of code. I'm not sure why the
simple_object_detector was keeping track of the upsample amount,
since it can't even be passed as an argument to the constructor.
Therefore, I removed the simple_object_detector_py and the second
declaration of the hog object detector. I also changed the
view code to optionally take keyword args of color and added
a single view of a rectangle.

Finally, I added viewing of the shape parts.

This includes the full_object_detection, a new struct in the same
vein as the simple_object_detector_training_options and of
course, the shape predictor classes themselves.

All of training, fitting and testing are wrapped.

Also, move the vectorize template into its own header to
stop having to declare it again in vector.

python.