Geometry¶

class Geometry[source]¶

Bases: supervisely.io.json.JsonSerializable

Methods

`allowed_transforms`
`clone`	Clone from GEOMETRYYY
`config_from_json`
`config_to_json`
`convert`
`crop`	param rect Rectangle
`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`	param img_size (rows, cols)
`flipud`	param img_size (rows, cols)
`from_json`	Deserialize from a JSON-compatible dict :param data: JSON-compatible dict :return: Parsed object
`geometry_name`	return string with name of geometry
`get_mask`	Returns 2D boolean mask of the geometry.
`name`	Same as geometry_name(), but shorter.
`relative_crop`	Crops object like "crop" method, but return results with coordinates relative to rect :param rect: :return: list of Geometry
`resize`	param in_size (rows, cols)
`rotate`	Rotates around image center -> New Geometry :param rotator: ImageRotator :return: Geometry
`scale`	Scales around origin with a given factor.
`to_bbox`	rtype `Rectangle`
`to_json`	Serialize to JSON-compatible dict.
`translate`	param drow int rows shift
`validate`

Attributes

`area`	return float

clone()[source]¶: Clone from GEOMETRYYY

crop(rect)[source]¶

Parameters

rect: Rectangle

Returns

list of Geometry

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

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)[source]¶: 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]¶

Parameters

img_size: (rows, cols)

Returns

Geometry

flipud(img_size)[source]¶

Parameters

img_size: (rows, cols)

Returns

Geometry

classmethod from_json(data)¶: Deserialize from a JSON-compatible dict :param data: JSON-compatible dict :return: Parsed object

static geometry_name()[source]¶

Returns: string with name of geometry

get_mask(img_size)[source]¶

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()[source]¶

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 object like “crop” method, but return results with coordinates relative to rect :param rect: :return: list of Geometry

resize(in_size, out_size)[source]¶

Parameters

in_size: (rows, cols)
out_size: (128, 256) (128, KEEP_ASPECT_RATIO) (KEEP_ASPECT_RATIO, 256)

Returns

Geometry

rotate(rotator)[source]¶: Rotates around image center -> New Geometry :param rotator: ImageRotator :return: Geometry

scale(factor)[source]¶: Scales around origin with a given factor. :param: factor (float): :return: Geometry

to_bbox()[source]¶

Return type: Rectangle
Returns: Rectangle

to_json()¶: Serialize to JSON-compatible dict. :return: dict

translate(drow, dcol)[source]¶

Parameters

drow: int rows shift
dcol: int cols shift

Returns

Geometry

property area¶

Returns: float