abdul-rehman-2050

# import statments
import numpy
import re

'''
Tokenize each the sentences, example
Input : "John likes to watch movies. Mary likes movies too"
Ouput : "John","likes","to","watch","movies","Mary","likes","movies","too"
'''
def tokenize(sentences):

abdul-rehman-2050

import RPi.GPIO as GPIO
import time

TRIG = 24
ECHO = 23

GPIO.setmode(GPIO.BCM)
GPIO.setup(TRIG,GPIO.OUT)
GPIO.setup(ECHO,GPIO.IN)

abdul-rehman-2050

package pl.kpob.utils.extensions

import android.app.Activity
import android.content.Context
import android.graphics.Color
import android.support.v4.content.ContextCompat
import android.view.WindowManager
import flow.Flow
import org.jetbrains.anko.AlertDialogBuilder
import pl.sisms.gminformix.utils.extensions.supportsLollipop

abdul-rehman-2050

''' classify
after training, classify a sample image with K-Nearest Neighbor

annotated from Abid Rahman's post: http://stackoverflow.com/a/9620295/232638
'''
import cv2
import numpy as np

# load the data we generated previously
samples = np.loadtxt('general-samples.data', np.float32)