Python使用OPENCV的目标跟踪算法实现自动视频标注效果

import cv2
import os
import time
from lxml import etree
 
#视频路径
Vs = cv2.VideoCapture('peaple.avi')
#自定义标签
Label = {1:"people",2:"car",3:"Camera"}
#图片保存路径 ，一定使用要用绝对路径！！
imgpath = r"C:\Users\BGT\Desktop\opencv\img"
#xml保存路径 ，一定使用要用绝对路径！！
xmlpath = r"C:\Users\BGT\Desktop\opencv\xml"
#设置视频缩放
cv2.namedWindow("frame", 0)
#设置视频宽高
cv2.resizeWindow("frame", 618, 416)
 
#定义生成xml类
class Gen_Annotations:
 def __init__(self, json_info):
  self.root = etree.Element("annotation")
 
  child1 = etree.SubElement(self.root, "folder")
  child1.text = str(json_info["pic_dirname"])
 
  child2 = etree.SubElement(self.root, "filename")
  child2.text = str(json_info["filename"])
 
  child3 = etree.SubElement(self.root, "path")
  child3.text = str(json_info["pic_path"])
 
  child4 = etree.SubElement(self.root, "source")
 
  child5 = etree.SubElement(child4, "database")
  child5.text = "My name is BGT"
 
 def set_size(self, witdh, height, channel):
  size = etree.SubElement(self.root, "size")
  widthn = etree.SubElement(size, "width")
  widthn.text = str(witdh)
  heightn = etree.SubElement(size, "height")
  heightn.text = str(height)
  channeln = etree.SubElement(size, "depth")
  channeln.text = str(channel)
  segmented = etree.SubElement(self.root, "segmented")
  segmented.text = "0"
 
 def savefile(self, filename):
  tree = etree.ElementTree(self.root)
  tree.write(filename, pretty_print=True, xml_declaration=False, encoding='utf-8')
 
 def add_pic_attr(self, label, x0, y0, x1, y1):
  object = etree.SubElement(self.root, "object")
  namen = etree.SubElement(object, "name")
  namen.text = label
  pose = etree.SubElement(object, "pose")
  pose.text = "Unspecified"
  truncated = etree.SubElement(object, "truncated")
  truncated.text = "0"
  difficult = etree.SubElement(object, "difficult")
  difficult.text = "0"
  bndbox = etree.SubElement(object, "bndbox")
  xminn = etree.SubElement(bndbox, "xmin")
  xminn.text = str(x0)
  yminn = etree.SubElement(bndbox, "ymin")
  yminn.text = str(y0)
  xmaxn = etree.SubElement(bndbox, "xmax")
  xmaxn.text = str(x1)
  ymaxn = etree.SubElement(bndbox, "ymax")
  ymaxn.text = str(y1)
 
 #定义生成xml的方法
def voc_opencv_xml(a,b,c,d,e,f,boxes,Label,Label_a,save="1.xml"):
 json_info = {}
 json_info["pic_dirname"] = a
 json_info["pic_path"] = b
 json_info["filename"] = c
 anno = Gen_Annotations(json_info)
 
 anno.set_size(d, e, f)
 
 for box in range(len(boxes)):
  x,y,w,h = [int(v) for v in boxes[box]]
  anno.add_pic_attr(Label[Label_a[box]],x,y,x+w,y+h)
 anno.savefile(save)
  
if __name__ == '__main__':
 Label_a = []
 contents = os.path.split(imgpath)[1]
 trackers = cv2.MultiTracker_create()
 while True:
  Filename_jpg = str(time.time()).split(".")[0] + "_" + str(time.time()).split(".")[1] + ".jpg"
  Filename_xml = str(time.time()).split(".")[0] + "_" + str(time.time()).split(".")[1] + ".xml"
 
  path_Filename_jpg = os.path.join(imgpath,Filename_jpg)
  path_Filename_xml = os.path.join(xmlpath,Filename_xml)
 
  ret,frame = Vs.read()
  if not ret:
break
 
  success,boxes = trackers.update(frame)
  if len(boxes)>0:
cv2.imwrite(path_Filename_jpg, frame)
judge = True
  else:
judge = False
 
if success==False:
print("目标丢失")
trackers = cv2.MultiTracker_create()
Label_a = []
judge = False
  if judge:
voc_opencv_xml(contents,Filename_jpg,path_Filename_jpg,frame.shape[1],frame.shape[0],frame.shape[2],boxes,Label,Label_a,path_Filename_xml)
  if judge:
for box in range(len(boxes)):
 x,y,w,h = [int(v) for v in boxes[box]]
 cv2.putText(frame, Label[Label_a[box]], (x, y), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 1)
 cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
  
  cv2.imshow('frame',frame)
 
  var = cv2.waitKey(30)
 
  if var == ord('s'):
imgzi = cv2.putText(frame, str(Label), (50, 50), cv2.FONT_HERSHEY_TRIPLEX, 1, (0, 255, 0), 2)
cv2.imshow('frame', frame)
var = cv2.waitKey(0)
if var-48<len(Label) or var-48<=len(Label):
 Label_a.append(int(var-48))
box = cv2.selectROI("frame", frame, fromCenter=False,showCrosshair=True)
tracker = cv2.TrackerCSRT_create()
trackers.add(tracker,frame,box)
  elif var == ord("r"):
trackers = cv2.MultiTracker_create()
Label_a = []
  elif var == ord('q'): #退出
break
 
 Vs.release()
 cv2.destroyAllWindows()