def test(file_name,data_new,targets,actions,vel): ####################### target_dist = 30 target_var = 50000 ####################### max_velocity = 0.31 learning_rate = 0.1 if network == 'GRP': f1 = GRP((2,360),(1,361),(1,360),(1,1),True,True,max_velocity,file_name = file_name) return f1.test_network(data_new,targets,actions,vel,True) elif network == 'action': f1 = action_predicter((2,360),(1,361),(1,360),(1,1),True,True,max_velocity,file_name = file_name) return f1.test_network(data_new,targets,actions,vel,True) elif network == 'action_m': f1 = action_modified((2,360),(1,361),(1,360),(1,1),True,True,max_velocity) return f1.test_network(data_new,targets,actions,vel,True) else: sys.exit(1)
def train(file_name, data_new,targets,actions,cosined_actions,vel,dist=0.2): ####################### target_dist = 30 target_var = 50000 ####################### max_velocity = 0.31 learning_rate = 0.1 if network == 'GRP': f1 = GRP((2,360),(1,361),(1,360),(1,1),False,False,max_velocity,file_name=file_name, safe_dist=dist) f1.train_network(data_new,targets,cosined_actions,vel,actions) elif network == 'action': f1 = action_predicter((2,360),(1,361),(1,360),(1,1),False,False,max_velocity,file_name=file_name, safe_dist=dist) #print(len(data_new), sum(len(data_new[k]) for k in data_new)) f1.train_network(data_new,targets,cosined_actions,vel,actions) elif network == 'action_m': f1 = action_modified((2,360),(1,361),(1,360),(1,1),False,False,max_velocity) f1.train_network(data_new,targets,cosined_actions,vel,actions) else: sys.exit(1)
def train(file_name, data_new, targets, actions, cosined_actions, vel):
#######################
target_dist = 30
target_var = 50000
#######################
max_velocity = 0.31
learning_rate = 0.1
if network == 'GRP':
f1 = GRP((2, 360), (1, 361), (1, 360), (1, 1),
False,
False,
max_velocity,
file_name=file_name)
f1.train_network(data_new, targets, cosined_actions, vel, actions)
elif network == 'action_m':
f1 = action_modified((2, 360), (1, 361), (1, 360), (1, 1), False,
False, max_velocity)
f1.train_network(data_new, targets, cosined_actions, vel, actions)
else:
sys.exit(1)
#print('Testing system is still being built')
#sys.exit(1)
#######################
#network_list = ['action+','action','feature','GRP','GRP+','GRP_feature']
if network == 'GRP':
f1 = GRP((2,360),(1,361),(1,360),(1,1),load_network,False,max_velocity)
f1.train_network(data_new,targets,cosined_actions,vel)
elif network == 'action+':
f1 = action_predicter_f((3,360),(1,361),(1,360),(1,1),load_network,False,max_velocity)
f1.train_network(data_new,targets,cosined_actions,vel)
elif network == 'action':
f1 = action_predicter((2,360),(1,361),(1,360),(1,1),load_network,False,max_velocity)
f1.train_network(data_new,targets,cosined_actions,vel)
elif network == 'action_m':
f1 = action_modified((2,360),(1,361),(1,360),(1,1),load_network,False,max_velocity)
f1.train_network(data_new,targets,actions,vel)
elif network == 'feature':
f1 = feature_predicter_ours((2,360),(1,361),load_network,False,0.7)
f1.train_network(data_new,targets)
elif network == 'GRP_feature':
f1 = feature_predicter_GRP((1,360),(1,360),load_network,False,0.7)
f1.train_network(data_new,target_obs)
elif network == 'GRP+':
f1 = GRP_f((1,360),(1,360),load_network,False,0.7)
f1.train_network(data_new,target_obs)
else:
sys.exit(1)
elif load_network == 'n' or load_network == 'N':
load_network = True
else:
'Failed to provide input'
sys.exit(1)
"""
#print('Testing system is still being built')
#sys.exit(1)
#######################
if network == 'GRP':
f1 = GRP((2, 360), (1, 361), (1, 360), (1, 1), True, True, max_velocity)
f1.test_network(data_new, targets, actions, vel)
elif network == 'action+':
f1 = action_predicter_f((2, 360), (1, 361), (1, 360), (1, 1), True, True,
max_velocity)
f1.test_network(data_new, targets, actions, vel)
elif network == 'action':
f1 = action_predicter((2, 360), (1, 361), (1, 360), (1, 1), True, True,
max_velocity)
f1.test_network(data_new, targets, actions, vel)
elif network == 'action_m':
f1 = action_modified((2, 360), (1, 361), (1, 360), (1, 1), True, True,
max_velocity)
f1.test_network(data_new, targets, actions, vel)
elif network == 'GRP+':
f1 = GRP_f((1, 360), (1, 360), (1, 32), (1, 1), True, True, max_velocity)
f1.test_network(data_new, targets, actions, vel)
else:
sys.exit(1)