MarigoldNormalsOutput  
Output class for Marigold monocular normals prediction pipeline.  
Args:
prediction (`np.ndarray`, `torch.Tensor`):
Predicted normals with values in the range [-1, 1]. The shape is always $numimages imes 3 imes height
imes width$, regardless of whether the images were passed as a 4D array or a list.
uncertainty (`None`, `np.ndarray`, `torch.Tensor`):
Uncertainty maps computed from the ensemble, with values in the range [0, 1]. The shape is $numimages
imes 1 imes height imes width$.
latent (`None`, `torch.Tensor`):
Latent features corresponding to the predictions, compatible with the `latents` argument of the pipeline.
The shape is $numimages * numensemble imes 4 imes latentheight imes latentwidth$.
/Users/nielsrogge/Documents/python_projecten/diffusers/docs/source/en/api/pipelines/marigold.md