FindConnectionOfRowsBetweenTwoTiles¶

Qualified name: crop_row_connector.find_connection_of_rows_between_two_tiles.FindConnectionOfRowsBetweenTwoTiles

class FindConnectionOfRowsBetweenTwoTiles(distance_tolerance)[source]¶

Find connection of rows between two tiles. Based on the Hungarian algorithm.

Methods

`calculate_connections_between_2_tiles`	Find all valid row-to-row connections between two adjacent tiles.
`distance_between_point_and_line`	Calculate the distance between a point and a line.
`distance_between_rows`	Calculate the distance between two rows as the difference between the point in one row and the two other points in the other row.
`keep_track_of_unused_rows_in_tiles`	Remove rows when they have been used in a connection.
`remove_padded_rows_cols`	Remove the padded rows and columns from the connection matrix, as well as the rows that are too far apart.

calculate_connections_between_2_tiles(tile_1, tile_2)[source]¶

Find all valid row-to-row connections between two adjacent tiles.

Parameters:

Return type:

ndarray

distance_between_point_and_line(point, line_point_close, line_point_far)[source]¶

Calculate the distance between a point and a line.

Parameters:

Return type:

ndarray

distance_between_rows(row_1, row_2)[source]¶

Calculate the distance between two rows as the difference between the point in one row and the two other points in the other row.

Parameters:

Return type:

float

keep_track_of_unused_rows_in_tiles(tile_1, tile_2, connection_matrix)[source]¶

Remove rows when they have been used in a connection.

Parameters:

Return type:

None

remove_padded_rows_cols(tile_1_rows, tile_2_rows, connection_matrix, cost_mat)[source]¶

Remove the padded rows and columns from the connection matrix, as well as the rows that are too far apart.

Parameters:

Return type:

ndarray