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| """Utility functions for evaluation.""" | |
| import numpy as np | |
| from mapdet3d.common.array import array_to_numpy | |
| from mapdet3d.common.typing import ArrayLike, NDArrayNumber | |
| def dense_inputs_to_numpy( | |
| prediction: ArrayLike, target: ArrayLike | |
| ) -> tuple[NDArrayNumber, NDArrayNumber]: | |
| """Convert dense prediction and target to numpy arrays.""" | |
| prediction = array_to_numpy(prediction, n_dims=None, dtype=np.float32) | |
| target = array_to_numpy(target, n_dims=None, dtype=np.float32) | |
| return prediction, target | |
| def check_shape_match( | |
| prediction: NDArrayNumber, target: NDArrayNumber | |
| ) -> None: | |
| """Check if the shape of prediction and target matches.""" | |
| assert prediction.shape == target.shape, ( | |
| f"Shape mismatch between prediction {prediction.shape} and target" | |
| f"{target.shape}." | |
| ) | |