Filter label disagreement knn

operators.ops3d.filter_label_disagreement_knn(client, file_points_in='file1.laz', file_labels_in='file2.npy', file_label_disagrement_in='values.npy', file_label_disagrement_out='values.npy', distance=2, classes_to_compare='2', comparison_type='2', class_to_filter=1, dim_data=3, knn=2, comparison_axis=-1, invalid_label=0, instance_type='x2large')

filter_label_disagreement_knn( client,

file_points_in=’file1.laz’,

file_labels_in=’file2.npy’,

file_label_disagrement_in=’values.npy’,

file_label_disagrement_out=’values.npy’,

distance=2,

classes_to_compare=’2’,

comparison_type=’2’,

class_to_filter=1,

dim_data=3,

knn=2,

comparison_axis=-1,

invalid_label=0,

instance_type=’x2large’ )

Parameters:

• file_points_in – input file [.laz or .las]

• file_labels_in – input file [.txt or .npy]

• file_label_disagrement_in – input file[.txt or .npy]

• file_label_disagrement_out – output file [.txt or .npy]

• distance – distance threshold

• classes_to_compare – classes to compare, comma separated

• comparison_type – [ge: greater equal, le: less equal]

• class_to_filter – class to filter

• dim_data – Dimensions to use: 3: x,y,z; 2: x, y

• knn – k-nearest-neighbours

• comparison_axis – axis to compare: -1: eucledian distance; 0, 1 or 2: distance along x, y or z axis

• invalid_label – invalid label

• instance_type – type of cloud instance used for processing