人体识别新年活动

import cv2

# 加载模型
net = cv2.dnn.readNetFromTensorflow("frozen_inference_graph.pb", "ssd_mobilenet_v2_coco.pbtxt")

# 打开摄像头
cap = cv2.VideoCapture(0)

while True:
    ret, frame = cap.read()
    if not ret:
        break

    # 预处理图像
    blob = cv2.dnn.blobFromImage(frame, size=(300, 300), swapRB=True, crop=False)
    net.setInput(blob)
    detections = net.forward()

    # 绘制检测框
    for i in range(detections.shape[2]):
        confidence = detections[0, 0, i, 2]
        if confidence > 0.5:
            box = detections[0, 0, i, 3:7] * np.array([frame.shape[1], frame.shape[0], frame.shape[1], frame.shape[0]])
            (x, y, x1, y1) = box.astype("int")
            cv2.rectangle(frame, (x, y), (x1, y1), (0, 255, 0), 2)

    cv2.imshow('Frame', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()