def __init__(self):
Rover20.__init__(self)
self.quit = False
self.lock = threading.Lock()
self.treads = [0, 0]
self.nn_treads = [0, 0]
self.currentImage = None
self.peripherals = {'lights': False, 'stealth': False, \
'detect': True, 'camera': 0}
self.action_choice = 1
self.action_labels = ['forward', 'backward', 'left', 'right']
self.action_vectors_motor = [[1, 1], [-1, -1], [-1, 1], [1, -1]]
self.action_vectors_neuro = [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]]
self.n1 = 32 * 24 * 3
self.n2 = 2
self.n3 = 4
self.w1 = 0.00001 * np.random.random((self.n1 + 1, self.n2))
self.w2 = 0.01 * np.random.random((self.n2 + 1, self.n3))
self.dw1 = np.zeros(self.w1.shape)
self.dw2 = np.zeros(self.w2.shape)
self.L1 = 0.000001
self.L2 = 0.001
self.M = 0.9
def __init__(self):
# Set up basics
Rover20.__init__(self)
self.wname = 'Rover 2.0: Hit ESC to quit'
self.quit = False
# Set up controller using PyGame
pygame.display.init()
pygame.joystick.init()
self.controller = pygame.joystick.Joystick(0)
self.controller.init()
# Defaults on startup: lights off, ordinary camera
self.lightsAreOn = False
self.stealthIsOn = False
# Tracks button-press times for debouncing
self.lastButtonTime = 0
# Try to create OpenCV named window
try:
if cv:
cv.NamedWindow(self.wname, cv.CV_WINDOW_AUTOSIZE )
else:
pass
except:
pass
self.pcmfile = open('rover20.pcm', 'w')
def __init__(self): Rover20.__init__(self) self.quit = False self.lightsAreOn = False self.stealthIsOn = False # each integer may be -1, 0, or 1 self.treads = [0,0] # window must be open and in focus for pygame to take input self.windowSize = [640, 480] # used to only refresh the video and not the unused pixels self.imageRect = (160,120,320,240) # Live video frames per second self.fps = 48 # stores what the camera currently sees self.currentImage = None self.displayCaption = "Keyboard Rover 2.0" pygame.init() pygame.display.init() pygame.display.set_caption(self.displayCaption) self.screen = pygame.display.set_mode(self.windowSize) self.clock = pygame.time.Clock()
def __init__(self):
Rover20.__init__(self)
self.quit = False
self.lock = threading.Lock()
self.treads = [0, 0]
self.nn_treads = [0, 0]
self.currentImage = None
self.peripherals = {'lights': False, 'stealth': False,
'detect': True, 'camera': 0}
self.action_choice = 1
self.action_labels = ['forward', 'backward', 'left', 'right']
self.action_vectors_motor = [[1, 1], [-1, -1], [-1, 1], [1, -1]]
self.action_vectors_neuro = [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]]
self.n1 = 32 * 24 * 3
# Number of neurons on the network
self.number_of_neurons = 5
# Number of actions available, like forward, back , left and right.
self.number_of_actions = 4
self.network_weight_one = 0.0001 * np.random.random((self.n1 + 1, self.number_of_neurons))
self.network_weight_two = 0.01 * np.random.random((self.number_of_neurons + 1, self.number_of_actions))
self.dw1 = np.zeros(self.network_weight_one.shape)
self.dw2 = np.zeros(self.network_weight_two.shape)
# learning rate of network
self.network_learning_rate_one = 0.001
# learning rate of network
self.network_learning_rate_two = 0.01
# Network Momemtum Value
self.M = .5
def __init__(self): Rover20.__init__(self) self.quit = False self.lightsAreOn = False self.stealthIsOn = False # each integer may be -1, 0, or 1 self.treads = [0,0] # window must be open and in focus for pygame to take input self.windowSize = [640, 480] # used to only refresh the video and not the unused pixels self.imageRect = (160,120,320,240) # Live video frames per second self.fps = 48 # stores what the camera currently sees self.currentImage = None self.displayCaption = "Keyboard Rover 2.0" pygame.init() pygame.display.init() pygame.display.set_caption(self.displayCaption) self.screen = pygame.display.set_mode(self.windowSize) self.clock = pygame.time.Clock()
def initialize(self):
print "Initializing Rover Module..."
# Set up basics
Rover20.__init__(self)
self.wname = 'Rover 2.0: Hit ESC to quit'
self.quit = False
# Set up controller using PyGame
pygame.display.init()
pygame.joystick.init()
print "Initializing Joystick..."
self.controller = pygame.joystick.Joystick(0)
self.controller.init()
# Defaults on startup: lights off, ordinary camera
self.lightsAreOn = False
self.stealthIsOn = False
# Tracks button-press times for debouncing
self.lastButtonTime = 0
# Try to create OpenCV named window
# print "Creating OpenCV Window..."
# try:
# if cv:
# cv.NamedWindow(self.wname, cv.CV_WINDOW_AUTOSIZE )
# else:
# pass
# except:
# pass
self.pcmfile = open('rover20.pcm', 'w')
def __init__(self):
# Set up basics
Rover20.__init__(self)
self.wname = 'Rover 2.0: Hit ESC to quit'
self.quit = Fsetalse
# Set up controller using PyGame
pygame.display.init()
pygame.joystick.init()
self.controller = pygame.joystick.Joystick(0)
self.controller.init()
# Defaults on startup: lights off, ordinary camera
self.lightsAreOn = False
self.stealthIsOn = False
# Tracks button-press times for debouncing
self.lastButtonTime = 0
# Try to create OpenCV named window
try:
if cv:
cv.NamedWindow(self.wname, cv.CV_WINDOW_AUTOSIZE )
else:
pass
except:
pass
self.pcmfile = open('rover20.pcm', 'w')
def __init__(self):
Rover20.__init__(self)
self.quit = False
self.peripherals = {'lights': False, 'stealth': False, 'camera': 0}
self.treads = [0,0]
self.currentImage = None
self.lock = threading.Lock()
def __init__(self):
Rover20.__init__(self)
self.quit = False
self.lock = threading.Lock()
self.treads = [0, 0]
self.nn_treads = [0, 0]
self.currentImage = None
self.peripherals = {'lights': False, 'stealth': False, \
'detect': True, 'camera': 0}
self.action_choice = 1
self.action_labels = ['forward', 'backward', 'left', 'right']
self.action_vectors_motor = [[1, 1], [-1, -1], [-1, 1], [1, -1]]
self.action_vectors_neuro = [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0],
[0, 0, 0, 1]]
self.n1 = 32 * 24 * 3
self.n2 = 2
self.n3 = 4
self.w1 = 0.00001 * np.random.random((self.n1 + 1, self.n2))
self.w2 = 0.01 * np.random.random((self.n2 + 1, self.n3))
self.dw1 = np.zeros(self.w1.shape)
self.dw2 = np.zeros(self.w2.shape)
self.L1 = 0.000001
self.L2 = 0.001
self.M = 0.9
def __init__(self):
Rover20.__init__(self)
self.currentImage = None
self.quit = False
self.action_choice = 1
self.action_labels = ['left', 'forward', 'right', 'backward']
self.action_vectors = [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]]
self.data = np.ones(240 * 320 + 4)
def __init__(self):
Rover20.__init__(self)
self.currentImage = None
self.quit = False
self.action_choice = 1
self.action_labels = ['left', 'forward', 'right', 'backward']
self.action_vectors = [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]]
self.data = np.ones(240 * 320 + 4)
def __init__(self):
Rover20.__init__(self)
self.quit = False
self.orb = cv2.ORB()
self.lock = threading.Lock()
self.treads = [0, 0]
self.currentImage = None
self.peripherals = {"lights": False, "stealth": False, "detect": True, "camera": 0}
def __init__(self):
Rover20.__init__(self)
self.quit = False
self.orb = cv2.ORB()
self.lock = threading.Lock()
self.treads = [0, 0]
self.currentImage = None
self.peripherals = {'lights': False, 'stealth': False, \
'detect': True, 'camera': 0}
def __init__(self):
Rover20.__init__(self)
print self.get_battery_percentage()
#self.rover = Rover20()
pygame.init()
#self.file_name = 'filename'
self.quit = False
self.image = None
self.run()
self.close()
def __init__(self):
Rover20.__init__(self)
self.quit = False
self.lock = threading.Lock()
self.treads = [0, 0]
self.nn_treads = [0, 0]
self.currentImage = None
self.peripherals = {"lights": False, "stealth": False, "detect": True, "camera": 0}
self.action_choice = 1
self.action_labels = ["forward", "backward", "left", "right"]
self.action_vectors_motor = [[1, 1], [-1, -1], [-1, 1], [1, -1]]
self.action_vectors_neuro = [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]]
self.n1 = 32 * 24 * 3
# Number of neurons on the network
self.number_of_neurons = 50
# Number of actions available, like forward, back , left and right.
self.number_of_actions = 4
self.network_weight_one = 0.0001 * np.random.random((self.n1 + 1, self.number_of_neurons))
self.network_weight_two = 0.01 * np.random.random((self.number_of_neurons + 1, self.number_of_actions))
self.dw1 = np.zeros(self.network_weight_one.shape)
self.dw2 = np.zeros(self.network_weight_two.shape)
# learning rate of network
self.network_learning_rate_one = 0.001
# learning rate of network
self.network_learning_rate_two = 0.01
# Network Momemtum Value
self.M = 0.5
self.currentImage = None
self.act1 = None
self.act2 = None
self.act22 = None
self.bias = None
self.pattern = None
self.delta_w1 = None
self.delta_w2 = None
self.category = None
self.sse = None
self.error = None
def __init__(self):
"""Sign follower initiation."""
# Set up basics for Odometer
self.state = (0, 0, 0) #x,y,theta
self.path = [] #list will contain points of previous positions)
Rover20.__init__(self)
self.wname = 'Rover 2.0: Hit ESC to quit'
self.quit = False
self.fileIndex = 0
self.fname = 'filename'
# Defaults on start-up: lights off, ordinary camera
self.lightsAreOn = False
self.stealthIsOn = False
# Initiate My Turtle graphics to be used as a map.
self.pcmfile = open('rover20.pcm', 'w')
self.myturtle = Turtle()
self.myturtle.speed(0)
self.myturtle.pencolor("blue")
self.nocommand_counter = 0
def __init__(self):
Rover20.__init__(self)
self.heard = False
def __init__(self):
Rover20.__init__(self)
self.heard = False
