GitLab

CMake.

a little bit.

Only issue is that the strong is hardcoded - otherwise
this is actually technically required by PEP 396

Add a simple print and serialization scheme for
shape_predictor_training_options. This enables you to serialize
your training options.

Easy change to allow comparisons on the Python side for
both rectangle and drectangle

totally removing it, and also made --stats print the number of non-ignored
boxes.

really small boxes.

always going to be required for imglab.

non-square matrix.

This is useful for visualizing the tracking results.

Added the missing documentation for the correlation tracker.
Didn't realise that the tracker returned the side lobe ratio,
so fixed the API to return it properly.

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.

The word detector didn't make much sense!

new example code into face_detector.py and added some comments.