Graph(name: str, group: Group, skeleton: Skeleton, color: Optional[Vector4] = None, enforced_id: Optional[int] = None)
Bases: Tree
Deprecated, please use Tree instead.
property
id: int
Read-only property.
class-attribute
instance-attribute
node_dict_factory = _NodeDict
add_node(position: Vec3IntLike, comment: Optional[str] = None, radius: Optional[float] = None, rotation: Optional[Vector3] = None, inVp: Optional[int] = None, inMag: Optional[int] = None, bitDepth: Optional[int] = None, interpolation: Optional[bool] = None, time: Optional[int] = None, is_branchpoint: bool = False, branchpoint_time: Optional[int] = None, _enforced_id: Optional[int] = None) -> Node
Adds a node to the tree. Apart from the mandatory position parameter,
there are several optional parameters which can be used to encode
additional information. For example, the comment will be shown by the
WEBKNOSSOS UI.
adjlist_inner_dict_factory() -> _AdjDict
adjlist_outer_dict_factory() -> _AdjDict
get_max_node_id() -> int
Returns the highest node id.
get_node_by_id(node_id: int) -> Node
Returns the node in this tree with the requested id.
get_node_positions() -> ndarray
Returns an numpy array with the positions of all nodes of this tree.
Tree(name: str, group: Group, skeleton: Skeleton, color: Optional[Vector4] = None, enforced_id: Optional[int] = None)
Bases: Graph
Contains a collection of nodes and edges. Despite the name, trees may contain cycles.
This class inherits from networkx.Graph.
For further methods, please check the networkx documentation.
See Tree.init for more details.
A small usage example:
tree = skeleton.add_tree("a tree")
node_1 = tree.add_node(position=(0, 0, 0), comment="node 1")
node_2 = tree.add_node(position=(100, 100, 100), comment="node 2")
tree.add_edge(node_1, node_2)
To create a tree, it is recommended to use Skeleton.add_tree or
Group.add_tree. That way, the newly created tree is automatically
attached as a child to the object the method was called on.
property
id: int
Read-only property.
class-attribute
instance-attribute
node_dict_factory = _NodeDict
add_node(position: Vec3IntLike, comment: Optional[str] = None, radius: Optional[float] = None, rotation: Optional[Vector3] = None, inVp: Optional[int] = None, inMag: Optional[int] = None, bitDepth: Optional[int] = None, interpolation: Optional[bool] = None, time: Optional[int] = None, is_branchpoint: bool = False, branchpoint_time: Optional[int] = None, _enforced_id: Optional[int] = None) -> Node
Adds a node to the tree. Apart from the mandatory position parameter,
there are several optional parameters which can be used to encode
additional information. For example, the comment will be shown by the
WEBKNOSSOS UI.
adjlist_inner_dict_factory() -> _AdjDict
adjlist_outer_dict_factory() -> _AdjDict
get_max_node_id() -> int
Returns the highest node id.
get_node_by_id(node_id: int) -> Node
Returns the node in this tree with the requested id.
get_node_positions() -> ndarray
Returns an numpy array with the positions of all nodes of this tree.