Source code for dtlpy.entities.annotation_definitions.polyline

import numpy as np

from . import BaseAnnotationDefinition

[docs]class Polyline(BaseAnnotationDefinition): """ Polyline annotation object """ def __init__(self, geo, label, attributes=None, description=None): super().__init__(description=description, attributes=attributes) self.type = "polyline" self.geo = geo self.label = label @property def x(self): return self.geo[:, 0] @property def y(self): return self.geo[:, 1] @property def left(self): return np.min(self.x) @property def top(self): return np.min(self.y) @property def right(self): return np.max(self.x) @property def bottom(self): return np.max(self.y) def to_coordinates(self, color): return [[{"x": float(x), "y": float(y)} for x, y in self.geo]] @staticmethod def from_coordinates(coordinates): return np.asarray([[pt["x"], pt["y"]] for pt in coordinates])
[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 # polyline cant have thickness -1 if thickness is None or thickness == -1: thickness = 2 if alpha != 1: overlay = image.copy() else: overlay = image overlay = cv2.polylines( img=overlay, pts=[np.round(self.geo).astype(int)], color=color, isClosed=False, thickness=thickness, ) 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
@classmethod def from_json(cls, _json): if "coordinates" in _json: geo = cls.from_coordinates(coordinates=_json["coordinates"][0]) elif "data" in _json: geo = cls.from_coordinates(coordinates=_json["data"][0]) else: raise ValueError('can not find "coordinates" or "data" in annotation. id: {}'.format(_json["id"])) return cls( geo=geo, label=_json["label"], attributes=_json.get("attributes", None), )