Exemplos de save_image_for_iteration em Python

Exemplo n.º 1

 def handle_qlearn_policy_data(self, policy_list):
     self.qlearn_policy_list.append(policy_list.data)
     if self.generate_video:
         data_to_publish = self.convert_list_to_2d_array(policy_list.data)
         image_util.save_image_for_iteration(data_to_publish,
                                             self.iteration_number)
         self.iteration_number += 1

Exemplo n.º 2

Arquivo: data_transcriber.py Projeto: royal50911/Qlearning_temporal_difference

 def handle_ql_policy_data(self, policy_list):
     #print "testing data    ", list(policy_list.data)
     if self.generate_video:
         #data_to_publish = self.convert_list_to_2d_array(policy_list.data)
         #image_util.save_image_for_iteration(data_to_publish, self.iteration_number)
         image_util.save_image_for_iteration(list(policy_list.data), self.iteration_number)
         self.iteration_number += 1

Exemplo n.º 3

Arquivo: data_transcriber.py Projeto: ltindall/cse190final

    def handle_robot_location(self,message): 
	self.robot_location = list(message.data)  
        #print "ROBOT LOCATION: ",self.robot_location
        if self.generate_video:
            data_to_publish = self.convert_list_to_2d_array(self.policy_list[-1])
            image_util.save_image_for_iteration(data_to_publish, self.iteration_number,self.robot_location)
            self.iteration_number += 1

Exemplo n.º 4

Arquivo: data_transcriber.py Projeto: ltindall/cse190final

 def handle_robot_location(self, message):
     self.robot_location = list(message.data)
     #print "ROBOT LOCATION: ",self.robot_location
     if self.generate_video:
         data_to_publish = self.convert_list_to_2d_array(
             self.policy_list[-1])
         image_util.save_image_for_iteration(data_to_publish,
                                             self.iteration_number,
                                             self.robot_location)
         self.iteration_number += 1

Exemplo n.º 5

Arquivo: robot.py Projeto: kelseyma/CSE_190_Final

	def do_bellman(self):
		bellman = Bellman()
		rospy.sleep(2)
		if bellman.find_path():
			print "values: \n", bellman.v_map
			print "policies: \n", bellman.p_map
			print "path: ", bellman.path
			print "policy path: \n", bellman.policies
			image_util.save_image_for_iteration(bellman.policies)
		else:
			print "charging path: ", bellman.cs_path
			print "policy path: \n", bellman.policies
			image_util.save_image_for_iteration(bellman.policies)

Exemplo n.º 6

 def do_bellman(self):
     bellman = Bellman()
     rospy.sleep(2)
     if bellman.find_path():
         print "values: \n", bellman.v_map
         print "policies: \n", bellman.p_map
         print "path: ", bellman.path
         print "policy path: \n", bellman.policies
         image_util.save_image_for_iteration(bellman.policies)
     else:
         print "charging path: ", bellman.cs_path
         print "policy path: \n", bellman.policies
         image_util.save_image_for_iteration(bellman.policies)

Exemplo n.º 7

Arquivo: data_transcriber.py Projeto: candice95/190-final

 def handle_qlearn_policy_data(self, policy_list):
     self.qlearn_policy_list.append(policy_list.data)
     if self.generate_video:
         data_to_publish = self.convert_list_to_2d_array(policy_list.data)
         image_util.save_image_for_iteration(data_to_publish, self.iteration_number)
         self.iteration_number += 1