import os import cv2 from dora import DoraStatus from utils import LABELS CI = os.environ.get("CI") CAMERA_WIDTH = 960 CAMERA_HEIGHT = 540 FONT = cv2.FONT_HERSHEY_SIMPLEX class Operator: """ Plot image and bounding box """ def __init__(self): self.bboxs = [] self.buffer = "" self.submitted = [] self.lines = [] def on_event( self, dora_event, send_output, ): if dora_event["type"] == "INPUT": id = dora_event["id"] value = dora_event["value"] if id == "image": image = ( value.to_numpy().reshape((CAMERA_HEIGHT, CAMERA_WIDTH, 3)).copy() ) for bbox in self.bboxs: [ min_x, min_y, max_x, max_y, confidence, label, ] = bbox cv2.rectangle( image, (int(min_x), int(min_y)), (int(max_x), int(max_y)), (0, 255, 0), ) cv2.putText( image, f"{LABELS[int(label)]}, {confidence:0.2f}", (int(max_x), int(max_y)), FONT, 0.5, (0, 255, 0), ) cv2.putText( image, self.buffer, (20, 14 + 21 * 14), FONT, 0.5, (190, 250, 0), 1 ) i = 0 for text in self.submitted[::-1]: color = ( (0, 255, 190) if text["role"] == "user_message" else (0, 190, 255) ) cv2.putText( image, text["content"], ( 20, 14 + (19 - i) * 14, ), FONT, 0.5, color, 1, ) i += 1 for line in self.lines: cv2.line( image, (int(line[0]), int(line[1])), (int(line[2]), int(line[3])), (0, 0, 255), ) if CI != "true": cv2.imshow("frame", image) if cv2.waitKey(1) & 0xFF == ord("q"): return DoraStatus.STOP elif id == "bbox": self.bboxs = value.to_numpy().reshape((-1, 6)) elif id == "keyboard_buffer": self.buffer = value[0].as_py() elif id == "line": self.lines += [value.to_pylist()] elif "message" in id: self.submitted += [ { "role": id, "content": value[0].as_py(), } ] return DoraStatus.CONTINUE