#!/usr/bin/env python3 # -*- coding: utf-8 -*- import os from dora import Node from dora import DoraStatus import cv2 import numpy as np CI = os.environ.get("CI") font = cv2.FONT_HERSHEY_SIMPLEX IMAGE_WIDTH = int(os.getenv("IMAGE_WIDTH", 960)) IMAGE_HEIGHT = int(os.getenv("IMAGE_HEIGHT", 540)) class Plotter: """ Plot image and bounding box """ def __init__(self): self.image = [] self.bboxs = [] def on_input( self, dora_input, ) -> DoraStatus: """ Put image and bounding box on cv2 window. Args: dora_input["id"] (str): Id of the dora_input declared in the yaml configuration dora_input["value"] (arrow array): message of the dora_input """ if dora_input["id"] == "image": image = ( dora_input["value"].to_numpy().reshape((IMAGE_HEIGHT, IMAGE_WIDTH, 3)) ) image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) self.image = image elif dora_input["id"] == "bbox" and len(self.image) != 0: bboxs = dora_input["value"].to_numpy() self.bboxs = np.reshape(bboxs, (-1, 6)) for bbox in self.bboxs: [ x, y, w, h, confidence, label, ] = bbox cv2.rectangle( self.image, (int(x - w / 2), int(y - h / 2)), (int(x + w / 2), int(y + h / 2)), (0, 255, 0), 2, ) if CI != "true": cv2.imshow("frame", self.image) if cv2.waitKey(1) & 0xFF == ord("q"): return DoraStatus.STOP return DoraStatus.CONTINUE plotter = Plotter() node = Node() for event in node: event_type = event["type"] if event_type == "INPUT": status = plotter.on_input(event) if status == DoraStatus.CONTINUE: pass elif status == DoraStatus.STOP: print("plotter returned stop status") break elif event_type == "STOP": print("received stop") else: print("received unexpected event:", event_type)