146 lines
4.8 KiB
Python
146 lines
4.8 KiB
Python
import cv2
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class MessageItem(object):
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# 用于封装信息的类,包含图片和其他信息
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def __init__(self,frame,message):
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self._frame = frame
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self._message = message
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def getFrame(self):
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# 图片信息
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return self._frame
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def getMessage(self):
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#文字信息,json格式
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return self._message
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class Tracker(object):
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'''
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追踪者模块,用于追踪指定目标
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'''
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def __init__(self, tracker_type="BOOSTING", draw_coord=True):
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'''
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初始化追踪器种类
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'''
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# 获得opencv版本
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(major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.')
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self.tracker_types = ['BOOSTING', 'MIL', 'KCF', 'TLD', 'MEDIANFLOW', 'GOTURN']
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self.tracker_type = tracker_type
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self.isWorking = False
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self.draw_coord = draw_coord
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# 构造追踪器
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if int(major_ver) < 3:
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self.tracker = cv2.Tracker_create(tracker_type)
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else:
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if tracker_type == 'BOOSTING':
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self.tracker = cv2.TrackerBoosting_create()
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if tracker_type == 'MIL':
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self.tracker = cv2.TrackerMIL_create()
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if tracker_type == 'KCF':
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self.tracker = cv2.TrackerKCF_create()
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if tracker_type == 'TLD':
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self.tracker = cv2.TrackerTLD_create()
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if tracker_type == 'MEDIANFLOW':
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self.tracker = cv2.TrackerMedianFlow_create()
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if tracker_type == 'GOTURN':
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self.tracker = cv2.TrackerGOTURN_create()
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def initWorking(self, frame, box):
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'''
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追踪器工作初始化
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frame:初始化追踪画面
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box:追踪的区域
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'''
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if not self.tracker:
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raise Exception("追踪器未初始化")
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status = self.tracker.init(frame, box)
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# if not status:
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# raise Exception("追踪器工作初始化失败")
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self.coord = box
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self.isWorking = True
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def track(self, frame):
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'''
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开启追踪
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'''
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message = None
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if self.isWorking:
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status, self.coord = self.tracker.update(frame)
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if status:
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message = {"coord": [((int(self.coord[0]), int(self.coord[1])),
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(int(self.coord[0] + self.coord[2]), int(self.coord[1] + self.coord[3])))]}
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if self.draw_coord:
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p1 = (int(self.coord[0]), int(self.coord[1]))
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p2 = (int(self.coord[0] + self.coord[2]), int(self.coord[1] + self.coord[3]))
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center = (int(self.coord[0] + self.coord[2] / 2), int(self.coord[1] + self.coord[3] / 2))
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cv2.circle(frame, center, 2, (0, 0, 255), 2)
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cv2.rectangle(frame, p1, p2, (255, 0, 0), 2, 1)
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message['msg'] = "is tracking"
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message['target'] = center
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return MessageItem(frame, message)
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if __name__ == '__main__':
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# 初始化视频捕获设备
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gVideoDevice = cv2.VideoCapture(0)
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gCapStatus, gFrame = gVideoDevice.read()
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# 选择 框选帧
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print("按 n 选择下一帧，按 y 选取当前帧")
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while True:
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if (gCapStatus == False):
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print("捕获帧失败")
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quit()
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_key = cv2.waitKey(0) & 0xFF
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if(_key == ord('n')):
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gCapStatus,gFrame = gVideoDevice.read()
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if(_key == ord('y')):
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break
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cv2.imshow("pick frame",gFrame)
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# 框选感兴趣区域region of interest
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cv2.destroyWindow("pick frame")
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gROI = cv2.selectROI("ROI frame",gFrame,False)
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if (not gROI):
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print("空框选，退出")
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quit()
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# 初始化追踪器
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gTracker = Tracker(tracker_type="KCF")
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gTracker.initWorking(gFrame,gROI)
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# 循环帧读取，开始跟踪
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while True:
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gCapStatus, gFrame = gVideoDevice.read()
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if(gCapStatus):
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# 展示跟踪图片
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print(gFrame)
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_item = gTracker.track(gFrame)
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cv2.imshow("track result",_item.getFrame())
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if _item.getMessage():
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# 打印跟踪数据
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print(_item.getMessage())
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else:
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# 丢失，重新用初始ROI初始
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print("丢失，重新使用初始ROI开始")
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gTracker = Tracker(tracker_type="KCF")
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gTracker.initWorking(gFrame, gROI)
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_key = cv2.waitKey(1) & 0xFF
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if (_key == ord('q')) | (_key == 27):
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break
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if (_key == ord('r')) :
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# 用户请求用初始ROI
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print("用户请求用初始ROI")
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gTracker = Tracker(tracker_type="KCF")
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gTracker.initWorking(gFrame, gROI)
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else:
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print("捕获帧失败")
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quit() |