server_kalman_filter.py 文件源码

def predictNewLocationsOfTracks(self):
        global log, idx
        if self.tracks:
            #log[idx,0] = self.tracks[0].consecutiveInvisibleCount
            #log[idx,:4] = self.tracks[1].bbox[:4]
            #log[idx,4] = self.tracks[1].consecutiveInvisibleCount

            if True:
                img = cv2.imread('/home/yaos11/zhouyz/CTT/img/bolt/%04d.jpg'%self.idx)
                assert img != None
                                # print '===!!!===!!!===', img.shape
                                for track in self.tracks:
                    box = track.bbox
                    pt1=(int(box[0]),int(box[1]))
                    pt2=(int(box[2]),int(box[3]))
                    cv2.rectangle(img,pt1,pt2,(255,255,255),3)

                cv2.imshow('Vedio',img)
                cv2.waitKey(1)