openCV之目标追踪

import cv2
import numpy as np

#定义OpenCV中的七种目标追踪算法
OPENCV_OBJECT_TRACKERS = {
   
'boosting' : cv2.TrackerBoosting_create,
'csrt' : cv2.TrackerCSRT_create,
'kcf' : cv2.TrackerKCF_create,
'mil': cv2.TrackerMIL_create,
'tld': cv2.TrackerTLD_create,
'medianflow': cv2.TrackerMedianFlow_create,
'mosse' : cv2.TrackerMOSSE_create
}


trackers = cv2.legacy.MultiTracker.create()
cap = cv2. VideoCapture ('./videos/soccer_01.mp4')
while True:
    flag,frame = cap.read()
    if frame is None:
        break 

    #追踪目标
    success,boxes = trackers. update(frame)
    #绘制追踪到的矩形区域
    for box in boxes:
        # box是个浮点型，画图需要整型
        (x,y, w, h) = [int(v) for v in box]
        cv2.rectangle(frame,(x,y),(x + w, y + h),(0,255,0),2)


    cv2.imshow('frame', frame)
    key = cv2.waitKey(100)
    if key == ord('s'):
        # 框选ROI区域
        roi = cv2.selectROI('frame',frame,showCrosshair=True,fromCenter=False)
        #创建一个实际的目标追踪器
        tracker = OPENCV_OBJECT_TRACKERS['kcf']()
        trackers.add(tracker,frame,roi)

    elif key == 27: 
        break

cap.release()
cv2.destroyAllWindows()

        

          
        
        
        

          

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