rofunc.utils.robolab.rdf.utils

Contents

`rofunc.utils.robolab.rdf.utils`#

1. Module Contents#

1.1. Functions#

`transform_points`
`mse`
`rmse`
`print_eval`
`eval_chamfer_distance`
`visualize_reconstructed_whole_body`
`rotation_matrix_from_vectors`	Find the rotation matrix that aligns vec1 to vec2 :param vec1: A 3d “source” vector :param vec2: A 3d “destination” vector :return mat: A transform matrix (3x3) which when applied to vec1, aligns it with vec2.
`create_arrow`

1.2. Data#

1.3. API#

rofunc.utils.robolab.rdf.utils.CUR_DIR = None#

rofunc.utils.robolab.rdf.utils.transform_points(points, trans, device)[source]#

rofunc.utils.robolab.rdf.utils.mse(yhat, y)[source]#

rofunc.utils.robolab.rdf.utils.rmse(yhat, y)[source]#

rofunc.utils.robolab.rdf.utils.print_eval(yhat, y, string='default')[source]#

rofunc.utils.robolab.rdf.utils.eval_chamfer_distance(tag)[source]#

rofunc.utils.robolab.rdf.utils.visualize_reconstructed_whole_body(model, trans_list, tag)[source]#

rofunc.utils.robolab.rdf.utils.rotation_matrix_from_vectors(vec1, vec2)[source]#: Find the rotation matrix that aligns vec1 to vec2 :param vec1: A 3d “source” vector :param vec2: A 3d “destination” vector :return mat: A transform matrix (3x3) which when applied to vec1, aligns it with vec2.

rofunc.utils.robolab.rdf.utils.create_arrow(vector, point, vec_length=0.05, color=[255, 0, 0])[source]#