GraphNodes¶

class GraphNodes[source]¶

Bases: supervisely.geometry.geometry.Geometry

GraphNodes geometry for a single Label. GraphNodes class object is immutable.

Parameters

nodes : dict: Dict or List containing nodes of graph
sly_id : int, optional: GraphNodes ID in Supervisely server.
class_id : int, optional: ID of ObjClass to which GraphNodes belongs.
labeler_login : str, optional: Login of the user who created GraphNodes.
updated_at : str, optional: Date and Time when GraphNodes was modified last. Date Format: Year:Month:Day:Hour:Minute:Seconds. Example: ‘2021-01-22T19:37:50.158Z’.
created_at : str, optional: Date and Time when GraphNodes was created. Date Format is the same as in “updated_at” parameter.

Usage example

import supervisely as sly
from supervisely.geometry.graph import Node, GraphNodes

vertex_1 = Node(sly.PointLocation(5, 5))
vertex_2 = Node(sly.PointLocation(100, 100))
vertex_3 = Node(sly.PointLocation(200, 250))
nodes = {0: vertex_1, 1: vertex_2, 2: vertex_3}
figure = GraphNodes(nodes)

Methods

`allowed_transforms`
`clone`	Makes a copy of the GraphNodes.
`config_from_json`	Convert graph template from json format :type config: `Dict` :param config: dictionary(graph template) in json format :rtype: `Dict` :return: dictionary(graph template)
`config_to_json`	Convert graph template in json format :type config: `Dict` :param config: dictionary(graph template) :rtype: `Dict` :return: dictionary(graph template) in json format
`convert`
`crop`	Crops current GraphNodes.
`draw`	param bitmap np.ndarray
`draw_contour`	Draws the figure contour on a given bitmap canvas :param bitmap: np.ndarray :param color: [R, G, B] :param thickness: (int) :param config: drawing config specific to a concrete subclass, e.g.
`fliplr`	Flips current GraphNodes in horizontal.
`flipud`	Flips current GraphNodes in vertical.
`from_json`	Convert a json dict to GraphNodes.
`geometry_name`
`get_mask`	Returns 2D boolean mask of the geometry.
`name`	Same as geometry_name(), but shorter.
`relative_crop`	Crops current GraphNodes with given rectangle and shifts it on value of rectangle left top angle.
`resize`	Resizes current GraphNodes.
`rotate`	Rotates current GraphNodes.
`scale`	Scales current GraphNodes.
`to_bbox`	Create Rectangle object from current GraphNodes.
`to_json`	Convert the GraphNodes to list.
`transform`	param transform_fn Function to convert GraphNodes.
`transform_locations`	param transform_fn Function to convert GraphNodes location.
`translate`	Translates current GraphNodes.
`validate`	Checks the graph for correctness and compliance with the template

Attributes

`area`	GraphNodes area.
`items_json_field`
`nodes`	Copy of GraphNodes nodes.

classmethod allowed_transforms()[source]¶

clone()[source]¶

Makes a copy of the GraphNodes.

Returns

GraphNodes object

Return type

GraphNodes

Usage Example

# Remember that GraphNodes class object is immutable, and we need to assign new instance of PointLocation to a new variable
new_figure = figure.clone()

static config_from_json(config)[source]¶: Convert graph template from json format :type config: Dict :param config: dictionary(graph template) in json format :rtype: Dict :return: dictionary(graph template)

static config_to_json(config)[source]¶: Convert graph template in json format :type config: Dict :param config: dictionary(graph template) :rtype: Dict :return: dictionary(graph template) in json format

crop(rect)[source]¶

Crops current GraphNodes.

Parameters

rect : Rectangle: Rectangle object for crop.

Returns

List of GraphNodes objects

Return type

List[GraphNodes]

Usage Example

import supervisely as sly

crop_figures = figure.crop(sly.Rectangle(0, 0, 300, 350))

draw(bitmap, color, thickness=1, config=None)¶

Parameters

bitmap: np.ndarray
color: [R, G, B]
thickness: used only in Polyline and Point
config: drawing config specific to a concrete subclass, e.g. per edge colors

draw_contour(bitmap, color, thickness=1, config=None)¶: Draws the figure contour on a given bitmap canvas :param bitmap: np.ndarray :param color: [R, G, B] :param thickness: (int) :param config: drawing config specific to a concrete subclass, e.g. per edge colors

fliplr(img_size)[source]¶

Flips current GraphNodes in horizontal.

Parameters

img_size : Tuple[int, int]: Input image size (height, width) to which belongs GraphNodes.

Returns

GraphNodes object

Return type

GraphNodes

Usage Example

# Remember that GraphNodes class object is immutable, and we need to assign new instance of Rectangle to a new variable
height, width = 300, 400
fliplr_figure = figure.fliplr((height, width))

flipud(img_size)[source]¶

Flips current GraphNodes in vertical.

Parameters

img_size : Tuple[int, int]: Input image size (height, width) to which belongs GraphNodes.

Returns

GraphNodes object

Return type

GraphNodes

Usage Example

# Remember that GraphNodes class object is immutable, and we need to assign new instance of Rectangle to a new variable
height, width = 300, 400
flipud_figure = figure.flipud((height, width))

classmethod from_json(data)[source]¶

Convert a json dict to GraphNodes. Read more about Supervisely format.

Parameters

data : dict: GraphNodes in json format as a dict.

Returns

GraphNodes object

Return type

GraphNodes

Usage example

figure_json = {
    "nodes": {
        "0": {
            "loc": [5, 5]
        },
        "1": {
            "loc": [100, 100]
        },
        "2": {
            "loc": [250, 200]
        }
    }
}
from supervisely.geometry.graph import GraphNodes
figure = GraphNodes.from_json(figure_json)

get_mask(img_size)¶

Returns 2D boolean mask of the geometry. With shape as img_size (height, width) and filled with True values inside the geometry and False values outside. dtype = np.bool shape = img_size

Parameters

img_size : Tuple[int, int]: size of the image (height, width)

Returns

2D boolean mask of the geometry

Return type

np.ndarray

classmethod name()¶

Same as geometry_name(), but shorter. In order to make the code more concise.

Returns: string with name of geometry

relative_crop(rect)[source]¶

Crops current GraphNodes with given rectangle and shifts it on value of rectangle left top angle.

Parameters

rect : Rectangle: Rectangle object for crop.

Returns

List of GraphNodes objects

Return type

List[GraphNodes]

Usage Example

import supervisely as sly

rel_crop_figures = figure.relative_crop(sly.Rectangle(0, 0, 300, 350))

resize(in_size, out_size)[source]¶

Resizes current GraphNodes.

Parameters

in_size : Tuple[int, int]: Input image size (height, width) to which belongs GraphNodes.
out_size : Tuple[int, int]: Desired output image size (height, width) to which belongs GraphNodes.

Returns

GraphNodes object

Return type

GraphNodes

Usage Example

# Remember that GraphNodes class object is immutable, and we need to assign new instance of Rectangle to a new variable
in_height, in_width = 300, 400
out_height, out_width = 600, 800
resize_figure = figure.resize((in_height, in_width), (out_height, out_width))

rotate(rotator)[source]¶

Rotates current GraphNodes.

Parameters

rotator : ImageRotator: ImageRotator object for rotation.

Returns

GraphNodes object

Return type

GraphNodes

Usage Example

from supervisely.geometry.image_rotator import ImageRotator

# Remember that GraphNodes class object is immutable, and we need to assign new instance of Rectangle to a new variable
height, width = 300, 400
rotator = ImageRotator((height, width), 25)
rotate_figure = figure.rotate(rotator)

scale(factor)[source]¶

Scales current GraphNodes.

Parameters

factor : float: Scale parameter.

Returns

GraphNodes object

Return type

GraphNodes

Usage Example

# Remember that GraphNodes class object is immutable, and we need to assign new instance of Rectangle to a new variable
scale_figure = figure.scale(0.75)

to_bbox()[source]¶

Create Rectangle object from current GraphNodes.

Returns

Rectangle object

Return type

Rectangle

Usage Example

rectangle = figure.to_bbox()

to_json()[source]¶

Convert the GraphNodes to list. Read more about Supervisely format.

Returns

Json format as a dict

Return type

dict

Usage example

import supervisely as sly
from supervisely.geometry.graph import Node, GraphNodes

vertex_1 = Node(sly.PointLocation(5, 5))
vertex_2 = Node(sly.PointLocation(100, 100))
vertex_3 = Node(sly.PointLocation(200, 250))
nodes = {0: vertex_1, 1: vertex_2, 2: vertex_3}
figure = GraphNodes(nodes)

figure_json = figure.to_json()
print(figure_json)
# Output: {
#    "nodes": {
#        "0": {
#            "loc": [5, 5]
#        },
#        "1": {
#            "loc": [100, 100]
#        },
#        "2": {
#            "loc": [250, 200]
#        }
#    }
# }

transform(transform_fn)[source]¶

Parameters

transform_fn: Function to convert GraphNodes.

Returns

GraphNodes object

Return type

GraphNodes

transform_locations(transform_fn)[source]¶

Parameters

transform_fn: Function to convert GraphNodes location.

Returns

GraphNodes object

Return type

GraphNodes

translate(drow, dcol)[source]¶

Translates current GraphNodes.

Parameters

drow : int: Horizontal shift.
dcol : int: Vertical shift.

Returns

GraphNodes object

Return type

GraphNodes

Usage Example

# Remember that GraphNodes class object is immutable, and we need to assign new instance of Rectangle to a new variable
translate_figure = figure.translate(150, 250)

validate(name, settings)[source]¶

Checks the graph for correctness and compliance with the template

Return type: None

property area¶

GraphNodes area.

Returns

Area of current GraphNodes, always 0.0

Return type

float

Usage Example

print(figure.area)
# Output: 0.0

property nodes¶

Copy of GraphNodes nodes.

Returns: GraphNodes nodes
Return type: dict