In [1]:

    

import numpy as np
import matplotlib.pyplot as plt
import imageio
import pandas as pd
import tensorflow as tf
from sklearn.preprocessing import OneHotEncoder
from sklearn.metrics import accuracy_score
from imageio.core.util import asarray as imgToArr
import helpers as hp
%matplotlib inline


    

In [2]:

    

data = hp.get_data()
outputs = data['outputs']
braking_inds = outputs[:, 1] == 1


    

In [3]:

    

x = data['input_gazes'][:, 0]
y = data['input_gazes'][:, 1]
plt.scatter(x[braking_inds], y[braking_inds], alpha=0.5)
plt.show()


    

In [4]:

    

plt.scatter(x[~braking_inds], y[~braking_inds], alpha=0.5)
plt.show()


    

In [22]:

    

import plotly.plotly as py
py.sign_in('e6-1', 'mkqupphhxd')
from plotly.graph_objs import *


    

In [ ]: