mean_pupil_49_error¶
-
menpofit.error.
mean_pupil_49_error
(shape, gt_shape)[source]¶ Computes the euclidean error based on 49 points normalised with the distance between the mean eye points (pupils), i.e.
\[\frac{\mathcal{F}(s,s^*)}{\mathcal{N}(s)}\]where
\[\mathcal{F}(s,s^*) = \frac{1}{49}\sum_{i=1}^{49}\sqrt{(s_{i,x}-s^*_{i,x})^2 + (s_{i,y}-s^*_{i,y})^2}\]where \(s\) and \(s^*\) are the final and ground truth shapes, respectively. \((s_{i,x}, s_{i,y})\) are the x and y coordinates of the \(i\)’th point of the final shape, \((s^*_{i,x}, s^*_{i,y})\) are the x and y coordinates of the \(i\)’th point of the ground truth shape. Finally, \(\mathcal{N}(s)\) is the distance between the mean eye points (pupils).
- Parameters
shape (menpo.shape.PointCloud) – The input shape (e.g. the final shape of a fitting procedure). It must have either 68 or 66 or 51 or 49 points.
gt_shape (menpo.shape.PointCloud) – The ground truth shape. It must have either 68 or 66 or 51 or 49 points.
- Returns
normalised_error (float) – The computed normalised Euclidean error.
- Raises
ValueError – Final shape must have 68 or 66 or 51 or 49 points
ValueError – Ground truth shape must have 68 or 66 or 51 or 49 points