Python Mapper示例

示例#1

文件： comm_get_region_centers.py 项目： warriorarmentaix/lfd

 def __init__(self):
     Mapper.__init__(
         self, ["png", "pcd"],
         [comm.SingleChannelImageMessage, comm.PointCloudMessage], "txt",
         comm.ArrayMessage)
     self.window_name = "centers"
     cv2.namedWindow(self.window_name, cv2.cv.CV_WINDOW_NORMAL)

示例#2

    def __init__(self):
        Mapper.__init__(self, ["pcd"], [comm.PointCloudMessage], "png",
                        comm.SingleChannelImageMessage)

        self.window_name = "labeling"
        cv2.namedWindow(self.window_name, cv2.cv.CV_WINDOW_NORMAL)
        with open(self.args.classifier, "r") as fh:
            self.classifier = cPickle.load(fh)
        self.mask = cv2.imread(self.args.mask, 0)

示例#3

文件： comm_apply_classifier_and_remove_outliers.py 项目： ankush-me/python

 def __init__(self):
     Mapper.__init__(self, ["pcd"], 
                     [comm.PointCloudMessage], 
                     "png", comm.SingleChannelImageMessage)
     
     self.window_name = "labeling"
     cv2.namedWindow(self.window_name,cv2.cv.CV_WINDOW_NORMAL)        
     with open(self.args.classifier,"r") as fh:
         self.classifier = cPickle.load(fh)
     self.mask = cv2.imread(self.args.mask,0)

示例#4

文件： comm_apply_classifier.py 项目： warriorarmentaix/lfd

    def __init__(self):
        Mapper.__init__(self, ["bmp"], [comm.MultiChannelImageMessage], "bmp",
                        comm.SingleChannelImageMessage)

        self.window_name = "labeling"
        cv2.namedWindow(self.window_name, cv2.cv.CV_WINDOW_NORMAL)
        with open(self.args.classifier, "r") as fh:
            print "unpickling"
            self.classifier = cPickle.load(fh)
            print "done"
        self.mask = cv2.imread(self.args.mask, 0)

示例#5

文件： comm_apply_classifier.py 项目： benkehoe/python

 def __init__(self):
     Mapper.__init__(self, ["bmp"], 
                     [comm.MultiChannelImageMessage], 
                     "bmp", comm.SingleChannelImageMessage)
     
     self.window_name = "labeling"
     cv2.namedWindow(self.window_name,cv2.cv.CV_WINDOW_NORMAL)        
     with open(self.args.classifier,"r") as fh:
         print "unpickling"
         self.classifier = cPickle.load(fh)
         print "done"
     self.mask = cv2.imread(self.args.mask,0)

示例#6

 def __init__(self):
     Mapper.__init__(self, ["pcd"], [comm.PointCloudMessage], "jpg",
                     comm.MultiChannelImageMessage)

示例#7

文件： comm_pcd2bmp.py 项目： ankush-me/python

 def __init__(self):
     Mapper.__init__(self, ["pcd"], 
                     [comm.PointCloudMessage], 
                     "bmp", comm.MultiChannelImageMessage)

示例#8

文件： comm_get_region_centers.py 项目： ankush-me/python

 def __init__(self):
     Mapper.__init__(self, ["png", "pcd"], 
                     [comm.SingleChannelImageMessage, comm.PointCloudMessage], 
                     "txt", comm.ArrayMessage)
     self.window_name = "centers"
     cv2.namedWindow(self.window_name,cv2.cv.CV_WINDOW_NORMAL)