Evaluate semantic segmentation

operators.ml3d.evaluate_semantic_segmentation(client, prediction_path='pred.labels', ground_truth_path='gt.labels', class_names='1,2,3,4', invalid_label=0, instance_type='x2large')

Evaluate semantic segmentation: evaluate_semantic_segmentation( client,

prediction_path=’pred.labels’,

ground_truth_path=’gt.labels’,

class_names=’1,2,3,4’,

invalid_label=0,

instance_type=’x2large’ )

Parameters:

prediction_path – Path to prediction file or folder
ground_truth_path – Path to ground truth file or folder
class_names – class names
invalid_label – Invalid label
instance_type – type of cloud instance used for processing