import numpy as np
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import cv2, time
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import yaml
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from openvino.runtime import Core
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# 读取配置文件
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def read_config(file_path='model/safe_det/metadata.yaml'):
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with open(file_path, 'r',encoding="utf-8") as file:
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config = yaml.safe_load(file)
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return config
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MODEL_NAME = "model/best.xml"
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CLASSES = read_config()['names']
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colors = np.random.uniform(0, 255, size=(len(CLASSES), 3))
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def draw_bounding_box(img, class_id, confidence, x, y, x_plus_w, y_plus_h):
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label = f'{CLASSES[class_id]} ({confidence:.2f})'
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color = colors[class_id]
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cv2.rectangle(img, (x, y), (x_plus_w, y_plus_h), color, 2)
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cv2.putText(img, label, (x - 10, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
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# 实例化Core对象
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core = Core()
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# 载入并编译模型
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# 加载模型
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model_path = "model/safe_det/best.xml" # 替换为你的模型路径
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model = core.read_model(model=model_path)
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net = core.compile_model(model=model, device_name="CPU")
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# 获得模型输出节点
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output_node = net.outputs[0] # yolov8n只有一个输出节点
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ir = net.create_infer_request()
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cap = cv2.VideoCapture(0)
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while True:
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start = time.time()
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ret, frame = cap.read()
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if not ret:
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break
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[height, width, _] = frame.shape
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length = max((height, width))
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image = np.zeros((length, length, 3), np.uint8)
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image[0:height, 0:width] = frame
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scale = length / 640
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blob = cv2.dnn.blobFromImage(image, scalefactor=1 / 255, size=(640, 640), swapRB=True)
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outputs = ir.infer(blob)[output_node]
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outputs = np.array([cv2.transpose(outputs[0])])
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rows = outputs.shape[1]
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boxes = []
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scores = []
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class_ids = []
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for i in range(rows):
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classes_scores = outputs[0][i][4:]
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(minScore, maxScore, minClassLoc, (x, maxClassIndex)) = cv2.minMaxLoc(classes_scores)
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if maxScore >= 0.25:
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box = [outputs[0][i][0] - (0.5 * outputs[0][i][2]), outputs[0][i][1] - (0.5 * outputs[0][i][3]),
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outputs[0][i][2], outputs[0][i][3]]
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boxes.append(box)
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scores.append(maxScore)
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class_ids.append(maxClassIndex)
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result_boxes = cv2.dnn.NMSBoxes(boxes, scores, 0.25, 0.45, 0.5)
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for i in range(len(result_boxes)):
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index = result_boxes[i]
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box = boxes[index]
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draw_bounding_box(frame, class_ids[index], scores[index], round(box[0] * scale), round(box[1] * scale),
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round((box[0] + box[2]) * scale), round((box[1] + box[3]) * scale))
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end = time.time()
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print("start", start)
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print("end", end)
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print("time",end - start)
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# show FPS
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fps = (1 / (end - start))
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fps_label = "%.2f FPS" % fps
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cv2.putText(frame, fps_label, (10, 25), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
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cv2.imshow('YOLOv8 OpenVINO Infer Demo on AIxBoard', frame)
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# wait key for ending
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if cv2.waitKey(1) > -1:
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cap.release()
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cv2.destroyAllWindows()
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break
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