import cv2
import dlib
def draw_text_info():

# 绘制文本的地位menu_pos_1 = (10, 20)menu_pos_2 = (10, 40)menu_pos_3 = (10, 60)# 菜单项info_1 = "Use left click of the mouse to select the object to track"info_2 = "Use '1' to start tracking, '2' to reset tracking and 'q' to exit"# 绘制菜单信息cv2.putText(frame, "Use '1' to re-initialize tracking", menu_pos_1, cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255))cv2.putText(frame, info_2, menu_pos_2, cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255))if tracking_state:    cv2.putText(frame, "tracking", menu_pos_3, cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0))else:    cv2.putText(frame, "not tracking", menu_pos_3, cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255))

用于保留要跟踪的对象坐标的构造

points = []
def mouse_event_handler(event, x, y, flags, param):

# 对全局变量的援用global points# 增加要跟踪的对象的左上角坐标if event == cv2.EVENT_LBUTTONDOWN:    points = [(x, y)]# 增加要跟踪的对象的右下角坐标：elif event == cv2.EVENT_LBUTTONUP:    points.append((x, y))

创立视频捕捉对象

capture = cv2.VideoCapture(0)

窗口名

window_name = "Object tracking using dlib correlation filter algorithm"

创立窗口

cv2.namedWindow(window_name)

绑定鼠标事件

cv2.setMouseCallback(window_name, mouse_event_handler)

初始化跟踪器

tracker = dlib.correlation_tracker()
tracking_state = False
while True:

# 捕捉视频帧ret, frame = capture.read()# 绘制菜单项draw_text_info()# 设置并绘制一个矩形，跟踪矩形框内的对象if len(points) == 2:    cv2.rectangle(frame, points[0], points[1], (0, 0, 255), 3)    dlib_rectangle = dlib.rectangle(points[0][0], points[0][1], points[1][0], points[1][1])if tracking_face is True:    # 更新跟踪器并打印测量跟踪器的置信度    print(tracker.update(frame))    # 获取被跟踪对象的地位    pos = tracker.get_position()    # 绘制被跟踪对象的地位    cv2.rectangle(frame, (int(pos.left()), int(pos.top())), (int(pos.right()), int(pos.bottom())), (0, 255, 0), 3)# 捕捉键盘事件key = 0xFF & cv2.waitKey(1)# 按下 1 键，[能源期货](https://www.gendan5.com/cf/ef.html)开始追踪if key == ord("1"):    if len(points) == 2:        # Start tracking:        tracker.start_track(frame, dlib_rectangle)        tracking_state = True        points = []# 按下 2 键，进行跟踪if key == ord("2"):    points = []    tracking_state = False# 按下 q 键，返回if key == ord('q'):    break# 展现后果图像cv2.imshow(window_name, frame)

开释资源

capture.release()
cv2.destroyAllWindows()