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Menpo is a Python package designed to make manipulating annotated data more simple. In particular, sparse locations on either images or meshes, referred to as landmarks. Within Menpo, are tightly coupled with their reference objects. To keep memory usage low.

Welcome to the MenpoDetect documentation! MenpoDetect is a Python package designed to make object detection, in particular face detection, simple. MenpoDetect relies on the core package of Menpo, and thus the output of MenpoDetect is always assumed to be Menpo core types. Load opencv frontal face detector. Load opencv frontal face detector. MenpoDetect was not designed for performing novel object detection research.

Welcome to the MenpoFit documentation! MenpoFit is a Python package for building, fitting and manipulating deformable models. It includes state-of-the-art deformable modelling techniques implemented on top of the Menpo. Weighted Gauss-Newton Optimisation with fixed Jacobian and Hessian.

In the Menpo Project we take an opinionated stance that visualization is a key part of generating research. Therefore, we have tried to make the mental overhead of visualizing objects as low as possible. MenpoWidgets makes tasks like data exploration, model observation and results demonstration as simple as possible.