def run(profName=""):
global settings
global profile
global inputFaker
global bciDevice
global current
global keycodelistlabels
global niaDirectFeedbackApp
inputFaker = OutputManager.InputFaker()
if inputFaker == -1:
print "Import-Error: You need either Win32con (Windows) or XLib (Linux, Mac)"
else:
keycodelistlabels = sorted(
["Action: " + each for each in inputFaker.actions.keys()])
profile = ProfileSettings()
if (profName == ""):
if len(sys.argv) == 2:
profilefile = sys.argv[1]
if os.path.exists(profilefile + ".feedback"):
workfile = open(profilefile + ".feedback", "r")
profile = pickle.load(workfile)
workfile.close()
else:
print "no " + profilefile + ".feedback" + " file found"
selection = WXElements.selection(
"Select your Device",
InputManager.SupportedDevices.keys()[0],
InputManager.SupportedDevices.keys())
profile.deviceName = selection
else:
selection = WXElements.selection(
"Select your Device",
InputManager.SupportedDevices.keys()[0],
InputManager.SupportedDevices.keys())
profile.deviceName = selection
else:
profilefile = profName
if os.path.exists(profilefile + ".feedback"):
workfile = open(profilefile + ".feedback", "r")
profile = pickle.load(workfile)
workfile.close()
else:
profile.profileName = profilefile
bciDevice = InputManager.BCIDevice(profile.deviceName)
current = Current_Data()
niaDirectFeedbackApp = NiaDirectFeedbackApp()
niaDirectFeedbackApp.MainLoop()
bciDevice.quit()
def run(profName=""):
global profile
global inputFaker
global bciDevice
global keycodelistlabels
global current
global fannToOutputApp
global ann
inputFaker = OutputManager.InputFaker()
if inputFaker == -1:
print "Import-Error: You need either Win32con (Windows) or XLib (Linux, Mac)"
else:
profilefile = ""
keycodelistlabels = sorted(["Action: "+each for each in inputFaker.actions.keys()])
if (profName==""):
if len(sys.argv)<2:
path = os.getcwd()
fileList = os.listdir(path)
profileList = []
for fileName in fileList:
if fileName[-7:] == "profile":
profileList.append(fileName[:-8])
if len(profileList) > 0:
profilefile = str(WXElements.selection("Select your Profile",profileList[0], profileList))
else:
print "Error: no profiles found"
else:
profilefile = sys.argv[1]
if len(profilefile)==0:
print "Error: no profile name given.\nExample: python nia-Triathlon-Player.py myProfile"
else:
if len(profilefile)==0:
profilefile = sys.argv[1]
profileLoaded = False
netLoaded = False
if os.path.exists(profilefile+".profile"):
workfile = open(profilefile+".profile", "r")
profile = pickle.load(workfile)
workfile.close()
profileLoaded = True
else:
print "no "+profilefile+".profile"+" file found"
ann = libfann.neural_net()
if os.path.exists(profilefile+".net"):
ann.create_from_file(profilefile+".net")
netLoaded = True
else:
print "no "+profilefile+".net"+" file found"
if (profileLoaded and netLoaded):
bciDevice = InputManager.BCIDevice(profile.deviceName)
current = Current_Data()
fannToOutputApp = FannToOutputApp()
fannToOutputApp.MainLoop()
bciDevice.quit()
else:
print "Cannot start without .profile and .net files"
else:
profilefile=profName
workfile = open(profilefile+".profile", "r")
profile = pickle.load(workfile)
workfile.close()
ann = libfann.neural_net()
ann.create_from_file(profilefile+".net")
bciDevice = InputManager.BCIDevice(profile.deviceName)
current = Current_Data()
fannToOutputApp = FannToOutputApp()
fannToOutputApp.MainLoop()
bciDevice.quit()
