from sklearn.model_selection import train_test_split from sklearn.preprocessing import LabelEncoder from keras.models import Sequential, load_model from keras.layers import Dense, Input import tensorflow as tf from tensorflow import keras # astar = A_Star.AStar(500) start = end = 0 path = 0 n = dirX = dirY = 0 grid = 500 trig = 0 ser = Arduino.Serial('raspi', 'usb') serOdroid = Arduino.Serial('raspi', 'gpio') queue = Queue() a = c = 0 b = 10000 d = -10000 fcode = 0 data1 = data2 = data3 = data4 = 0 dataUsb1 = dataUsb2 = dataUsb3 = dataUsb4 = 0 x = 0 y = 0 w = 0 dribble = 0 kick = 0 encoX = encoY = angleZ = ball = 0
# from sklearn.preprocessing import LabelEncoder # from keras.models import Sequential,load_model # from keras.layers import Dense,Input # import tensorflow as tf # from tensorflow import keras # import csv astar = A_Star.AStar(500) start = end = 0 path = 0 n = dirX = dirY = 0 grid = 500 trig = 0 ser = Arduino.Serial('raspi', 'usb') Od = Arduino.Serial('raspi', 'gpio') robot = move() queue = Queue() a = c = 0 b = 10000 d = -10000 fcode = 0 data1 = data2 = data3 = data4 = 0 dataUsb1 = dataUsb2 = dataUsb3 = dataUsb4 = 0 x = 0 y = 0 w = 0 dribble = 0 kick = 0
def __init__(self): self.x = self.y = self.w = self.dribble = self.kick = 0 self.ser = Arduino.Serial('raspi', 'usb')