pycvcam.core.Extrinsic.project#
- Extrinsic.project(world_points, *, transpose=False, dx=False, dp=False, **kwargs)[source]#
Alias for the
transformmethod, which applies the extrinsic transformation to the points.See also
pycvcam.core.Transform.transform()for applying the transformation to points.
Note
The
world_pointsis converted to a numpy array ofdtype=numpy.float64.- Parameters:
world_points (ArrayLike) – The world points to be transformed. Shape (…, 3).
transpose (bool, optional) – If True, the input points are assumed to have shape (3, …) instead of (…, 3) and the output points will have shape (2, …). Default is False.
dx (bool, optional) – If True, the jacobian with respect to the world points is computed. Default is False
dp (bool, optional) – If True, the jacobian with respect to the distortion parameters is computed. Default is False
- Returns:
The result of the transformation, which includes the
normalized_pointsand the Jacobian matrices if available.- Return type:
Examples
extrinsic = ... # An instance of a subclass of Extrinsic import numpy world_points = numpy.array([[0.0, 0.0, 0.0], [1.0, 1.0, 1.0], [2.0, 2.0, 2.0]]) # shape (n_points, 3) result = extrinsic.project(world_points) normalized_points = result.normalized_points # shape (n_points, 2) # SAME AS: result = extrinsic.transform(world_points) normalized_points = result.transformed_points # shape (n_points, 2)