# coding=utf-8
import sys
import dlib
import cv2class mycorrelationTracker(object):
def __init__(self,windowname = 'default window',cameranum = 0):
self.STATUS_RUN_WITHOUT_TRACKER = 0 # 不跟踪目标，但是实时显示
self.STATUS_RUN_WITH_TRACKER =1# 跟踪目标，实时显示
self.STATUS_PAUSE = 2 # 暂停，卡在当前帧
self.STATUS_BREAK = 3 # 退出
self.status = self.STATUS_RUN_WITHOUT_TRACKERself.track_window = None# 实时跟踪鼠标的跟踪区域
self.selection = None
self.drag_start = None # 要检测的物体所在区域
self.start_flag = None# 标记，是否开始拖动鼠标cv2.namedWindow(windowname,cv2.WINDOW_AUTOSIZE)
cv2.setMouseCallback(windowname,self.onmouseckicked)
self.windowname = windownameself.cap = cv2.VideoCapture(cameranum)self.tracker = dlib.correlation_tracker()self.fame = Nonedef keyeventhandler(self):
keyvalue = https://www.it610.com/article/cv2.waitKey(1)
if keyvalue == 27:#27是ESC的ASIC码
self.status = self.STATUS_BREAK
if keyvalue == 32: #空格
if self.status != self.STATUS_PAUSE:
self.status = self.STATUS_PAUSE
else:
if self.track_window:
self.status = self.STATUS_RUN_WITH_TRACKER
self.start_flag = True
else:
self.status = self.STATUS_RUN_WITHOUT_TRACKER
if keyvalue ==13: #回车
if self.status == self.STATUS_PAUSE:
if self.track_window:
self.status = self.STATUS_RUN_WITH_TRACKER
self.start_flag = Truedef processhandler(self):if self.status == self.STATUS_RUN_WITHOUT_TRACKER:
ret ,self.fame = self.cap.read()
cv2.imshow(self.windowname,self.fame)elif self.status==self.STATUS_PAUSE:
img_first =self.fame.copy()
if self.track_window:
cv2.rectangle(img_first,(self.track_window[0],self.track_window[1]),(self.track_window[2],self.track_window[3]),(0,0,255),1)
elif self.selection:
cv2.rectangle(img_first,(self.selection[0],self.selection[1]),(self.selection[2],self.selection[3]),(0,0,255),1)cv2.imshow(self.windowname,img_first)elif self.status == self.STATUS_BREAK:
self.cap.release()
cv2.destroyAllWindows()
sys.exit()elif self.status == self.STATUS_RUN_WITH_TRACKER:
ret,self.fame = self.cap.read()
if self.start_flag:
self.tracker.start_track(self.fame,dlib.rectangle(self.track_window[0],self.track_window[1],self.track_window[2],self.track_window[3]))
self.start_flag = False
else:
self.tracker.update(self.fame)box_predict = self.tracker.get_position()
cv2.rectangle(self.fame,(int(box_predict.left()),int(box_predict.top())),(int(box_predict.right()),int(box_predict.bottom())),(0,0,255),1)
cv2.imshow(self.windowname,self.fame)def onmouseckicked(self,event,x,y,flags,param):
if event == cv2.EVENT_LBUTTONDOWN and self.status != self.STATUS_PAUSE:
print("please press the block")
return
if event == cv2.EVENT_LBUTTONDOWN:
self.drag_start = (x,y)
self.track_window = None
if self.drag_start:
print(x,y,'s')
print(self.drag_start)
xMin = min(x, self.drag_start[0])
yMin = min(y, self.drag_start[1])
xMax = max(x, self.drag_start[0])
yMax = max(y, self.drag_start[1])
self.selection = (xMin, yMin, xMax, yMax)
if event == cv2.EVENT_LBUTTONUP:# 鼠标左键松开
self.drag_start = None
self.track_window = self.selection
self.selection = Nonedef run(self):
while(1):
self.keyeventhandler()
self.processhandler()if __name__ == '__main__':
tesetracker = mycorrelationTracker(windowname='image',cameranum=0)
tesetracker.run()
【python dlib实现小程序（3）实现图像跟踪】其中cv2.setMouseCallback(windowname,self.onmouseckicked) 是一直在检测你的鼠标在窗口中的活动的，后面onmouseckicked 是回调函数，意思就是说这个函数会返回五个值到这个回调函数中，其中有第一个值是EVENT 事件，后面两个是当前鼠标的坐标值。因为这边用了类值，如果没有用类直接写函数的时候一定要定义全局变量，比如像这样：
def onMouseClicked(event,x,y,flags,param):
global selection,track_window,drag_start
if event == cv2.EVENT_LBUTTONDOWN:
drag_start = (x,y)
track_window = None
if drag_start:
print(x,y,'s')
print(drag_start)
xmin = min(x,drag_start[0])
ymin = min(y,drag_start[1])
xmax = max(x,drag_start[0])
ymax = max(y,drag_start[1])
selection = (xmin,ymin,xmax,ymax)if event == cv2.EVENT_LBUTTONUP:
drag_start = None
track_window = selection
selection = None
因为鼠标每动一次就会调用这个回调函数，不把值定义为全局量的话，上一次已经赋值好的值在这一次就会没有。
大佬的地址：https://blog.csdn.net/hongbin_xu/article/details/78359663
