Source code for dtlpy.entities.annotation_definitions.point

import numpy as np

from . import BaseAnnotationDefinition

[docs]class Point(BaseAnnotationDefinition): """ Point annotation object """ type = "point" def __init__(self, x, y, label, attributes=None, description=None): super().__init__(description=description, attributes=attributes) self.y = y self.x = x self.label = label @property def geo(self): return [self.x, self.y] @property def left(self): return self.x @property def top(self): return self.y @property def right(self): return self.y @property def bottom(self): return self.x @property def z(self): return 0
[docs] def show(self, image, thickness, with_text, height, width, annotation_format, color, alpha=1): """ Show annotation as ndarray :param image: empty or image to draw on :param thickness: :param with_text: not required :param height: item height :param width: item width :param annotation_format: options: list(dl.ViewAnnotationOptions) :param color: color :param alpha: opacity value [0 1], default 1 :return: ndarray """ try: import cv2 except (ImportError, ModuleNotFoundError): self.logger.error( 'Import Error! Cant import cv2. Annotations operations will be limited. import manually and fix errors') raise # point cant have thickness 1 if thickness is None or thickness == -1: thickness = 5 # create image to draw on if alpha != 1: overlay = image.copy() else: overlay = image # draw annotation overlay = img=overlay, center=(int(np.round(self.x)), int(np.round(self.y))), radius=thickness, color=color, thickness=thickness, lineType=cv2.LINE_AA, ) if not isinstance(color, int) and len(color) == 4 and color[3] != 255: # add with opacity image = cv2.addWeighted(src1=overlay, alpha=alpha, src2=image, beta=1 - alpha, gamma=0) else: image = overlay if with_text: image = self.add_text_to_image(image=image, annotation=self) return image
def to_coordinates(self, color): return {"x": float(self.x), "y": float(self.y), "z": float(self.z)} @staticmethod def from_coordinates(coordinates): return coordinates["x"], coordinates["y"] @classmethod def from_json(cls, _json): if "coordinates" in _json: x, y = cls.from_coordinates(_json["coordinates"]) elif "data" in _json: x, y = cls.from_coordinates(_json["data"]) else: raise ValueError('can not find "coordinates" or "data" in annotation. id: {}'.format(_json["id"])) return cls( x=x, y=y, label=_json["label"], attributes=_json.get("attributes", None), )