GitLab

you can chain calls easily.

numpy array as input.

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.

find_bright_lines(), find_dark_lines(), find_dark_keypoints(),
suppress_non_maximum_edges(), and find_peaks() to the Python API.

and convert_image_scaled() to the python API.

randomly_color_image(), jet(), skeleton(), find_line_endpoints(), get_rect(), shrink_rect(),
grow_rect(), and image_gradients.

- Moved all uses of PYBIND11_MAKE_OPAQUE to a common header to avoid possilbe ODR violations.
- Added python binding for make_bounding_box_regression_training_data().

* 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.

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