def __init__(self):
# left depth, center depth, right depth, steering
self.low = np.array([0.0, 0.0, 0.0, 0])
self.high = np.array([100.0, 100.0, 100.0, 5])
#self.high = np.array([100.0, 100.0, 100.0, 21])
self.observation_space = spaces.Box(self.low, self.high)
self.action_space = spaces.Discrete(5)
#self.action_space = spaces.Discrete(21)
self.state = (100, 100, 100, random.uniform(-1.0, 1.0))
self.episodeN = 0
self.stepN = 0
self.allLogs = {'speed': [0]}
self.dist = 0
self.last_pos = [0, 0]
self._seed()
self.stallCount = 0
self.last_collision = None
global airsimClient
airsimClient = myAirSimCarClient()
self.dirname = time.strftime("%Y_%m_%d_%H_%M") + '_rl'
os.mkdir(self.dirname)
self.f = open(self.dirname + '/log.txt', 'w')
firstline = 'x,y,reward,collision\n'
self.f.write(firstline)
def __init__(self):
# left depth, center depth, right depth, steering
self.low = np.array([0.0, 0.0, 0.0, 0])
self.high = np.array([100.0, 100.0, 100.0, 5])
self.observation_space = spaces.Box(self.low, self.high)
self.action_space = spaces.Discrete(5)
self.state = (100, 100, 100, random.uniform(-1.0, 1.0))
self.episodeN = 0
self.stepN = 0
self.allLogs = {'speed':[0]}
self.dist = 0
self.last_pos = [0,0]
self._seed()
self.stallCount = 0
self.last_collision = None
global airsimClient
airsimClient = myAirSimCarClient()
'''
self.LABELS = open("../AirSim/PythonClient/car/yolo/coco.names").read().strip().split("\n")
self.path_weights = "../AirSim/PythonClient/car/yolo/yolov3.weights"
self.path_config = "../AirSim/PythonClient/car/yolo/yolov3.cfg"
'''
self.LABELS = open("../Yolo-Fastest/data/coco.names").read().strip().split("\n")
self.path_weights = "../Yolo-Fastest/Yolo-Fastest/COCO/yolo-fastest.weights"
self.path_config = "../Yolo-Fastest/Yolo-Fastest/COCO/yolo-fastest.cfg"
np.random.seed(42)
self.net = cv2.dnn.readNetFromDarknet(self.path_config, self.path_weights)
def __init__(self):
# left depth, center depth, right depth, steering
self.low = np.array([0.0, 0.0, 0.0, 0])
self.high = np.array([100.0, 100.0, 100.0, 21])
self.observation_space = spaces.Box(self.low, self.high)
self.action_space = spaces.Discrete(21)
self.state = (100, 100, 100, random.uniform(-1.0, 1.0))
self.episodeN = 0
self.stepN = 0
self.allLogs = { 'speed':[0] }
self._seed()
self.stallCount = 0
global airsimClient
airsimClient = myAirSimCarClient()
def __init__(self):
# left depth, center depth, right depth, steering
self.low = np.array([0.0, 0.0, 0.0, 0, 0, 0])
self.high = np.array([100.0, 100.0, 100.0, 5, 5000.0, 5000.0])
self.observation_space = spaces.Box(self.low, self.high)
self.action_space = spaces.Discrete(5)
self.state = (100, 100, 100, random.uniform(-1.0, 1.0))
self.episodeN = 0
self.stepN = 0
self.allLogs = {'speed': [0]}
self.dist = 0
self.last_pos = [0, 0]
self.collision = False
self.close_l, self.close_r = 5000, 5000
self._seed()
self.stallCount = 0
self.last_collision = None
global airsimClient
airsimClient = myAirSimCarClient()
self.LABELS = open(
"../Yolo-Fastest/data/coco.names").read().strip().split("\n")
self.path_weights = "../Yolo-Fastest/Yolo-Fastest/COCO/yolo-fastest.weights"
self.path_config = "../Yolo-Fastest/Yolo-Fastest/COCO/yolo-fastest.cfg"
np.random.seed(42)
self.net = cv2.dnn.readNetFromDarknet(self.path_config,
self.path_weights)
self.dirname = time.strftime("%Y_%m_%d_%H_%M") + '_yolo'
os.mkdir(self.dirname)
self.f = open(self.dirname + '/log.txt', 'w')
firstline = 'x,y,reward,collision\n'
self.f.write(firstline)