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AutoSafe
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Optimised; PyLint score 9.44/10

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Navan Chauhan 2019-05-24 23:17:13 +05:30
parent fca01b7e7b
commit 656e8b59c4
1 changed files with 79 additions and 79 deletions
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main.py
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@ -1,24 +1,21 @@
"""AutoSafe
Modular Road-Safety Toolkit
import overpy
import sys
import simplejson as sjson
import json
"""
#pylint: disable=C0103,C0111
import argparse
import time
from threading import Thread
import overpy
import simplejson as sjson
from scipy.spatial import distance as dist
from imutils.video import VideoStream
from imutils import face_utils
from threading import Thread
import numpy as np
import playsound
import argparse
#import playsound
import imutils
import dlib
import cv2
from uber_rides.session import Session
from uber_rides.client import UberRidesClient
import signal
import argparse
#from uber_rides.session import Session
#from uber_rides.client import UberRidesClient
import tweepy
import requests
@ -29,7 +26,7 @@ import requests
# Defining Variables #
######################
radius = str(100) # Radius for maxspeed function. taken as a string because gets concatenated in the function
radius = str(100) # Radius for maxspeed function. taken as a string because gets concatenated
################
# Dummy Values #
@ -81,37 +78,37 @@ def get_api(cfg):
auth.set_access_token(cfg['access_token'], cfg['access_token_secret'])
return tweepy.API(auth)
def tweet():
cfg = {
"consumer_key" : "knQFpTnjuSvr6OxYwebt3wyrd",
"consumer_secret" : "Mhex3oRkmaF7lD3hoMvHpAD6ctW0ugKYCopTlhc0JzOLOMIZ0w",
"access_token" : "2846631344-wEozinvHfEIFxFVy51I6te8SrN5OTFtU00wxsiz",
"access_token_secret" : "Nfx1U8a2TjAQXFLBrJIyy2p36sjBGAWFIthLc1cIoI56U"
}
def tweetMe():
cfg = {
"consumer_key":"knQFpTnjuSvr6OxYwebt3wyrd",
"consumer_secret":"Mhex3oRkmaF7lD3hoMvHpAD6ctW0ugKYCopTlhc0JzOLOMIZ0w",
"access_token":"2846631344-wEozinvHfEIFxFVy51I6te8SrN5OTFtU00wxsiz",
"access_token_secret":"Nfx1U8a2TjAQXFLBrJIyy2p36sjBGAWFIthLc1cIoI56U"
}
api = get_api(cfg)
headers = {
'Accept': 'application/json',
'user-key': 'a530c1424d9abe5442fa22f77ce03d25',
'user-key': 'a530c1424d9abe5442fa22f77ce03d25',
}
params = (
('lat', '28.546519'),
('lon', '77.179248'),
)
response = requests.get('https://developers.zomato.com/api/v2.1/geocode', headers=headers, params=params)
url = 'https://developers.zomato.com/api/v2.1/geocode'
response = requests.get(url, headers=headers, params=params)
loc = response.json()['location']['title']
tweet = ("Stay Alert! Sudden braking at: ", loc )
status = api.update_status(status=tweet)
tweet = ("Stay Alert! Sudden braking at: ", loc)
status = api.update_status(status=tweet)
print(status)
################################
# Fetching Details from Zomato #
################################
res = []
def getRes():
res = []
headers = {
'Accept': 'application/json',
'user-key': 'a530c1424d9abe5442fa22f77ce03d25',
@ -121,8 +118,8 @@ def getRes():
('lat', '28.546519'),
('lon', '77.179248'),
)
response = requests.get('https://developers.zomato.com/api/v2.1/geocode', headers=headers, params=params)
url = 'https://developers.zomato.com/api/v2.1/geocode'
response = requests.get(url, headers=headers, params=params)
res = response.json()['popularity']['nearby_res']
return res
@ -133,12 +130,12 @@ def getDetails(res):
}
url = "https://developers.zomato.com/api/v2.1/restaurant?res_id=" + str(res[0])
newResponse = requests.get(url, headers=headers)
newRes = []
#newRes = []
resName = newResponse.json()['name']
resAddress = newResponse.json()['location']['address']
print("You are feeling sleepy, why don't you take a break?\n")
print("Your nearest eatery is " + resName,"\n")
print(resName + " is at " + resAddress,"\n")
print("Your nearest eatery is " + resName, "\n")
print(resName + " is at " + resAddress, "\n")
def zomato():
res = getRes()
@ -149,22 +146,22 @@ def zomato():
############################
def drunk():
print("Your Location Appears to be around places which sells \n alcohol, please take the breathalyser test ")
print("Your appear to be around places which sell \n alcohol, take the breathalyser test")
bac_raw = str(open("./files/bac.txt","r").read())
bac_raw = str(open("./files/bac.txt", "r").read())
bac = float(float(bac_raw)/100)
print(bac)
if(bac >= 0.08):
if bac >= 0.08:
print("Please Do Not Drive!\n")
print("I can call a cab if you want\n")
print("")
answer = input("Say No, to disagree, else I'll book the cab: \n")
if(answer=="no"):
if answer == "no":
print("You are not fit to drive")
print("Text message to emergency contact sent")
print("Your cab has been booked, thank you for not driving")
print("have a safe journey!")
def sound_alarm():
print('You Sleep You Lose')
@ -175,7 +172,7 @@ def eye_aspect_ratio(eye):
A = dist.euclidean(eye[1], eye[5])
B = dist.euclidean(eye[2], eye[4])
C = dist.euclidean(eye[0], eye[3])
ear = (A + B) / (2.0 * C)
return ear
@ -185,9 +182,8 @@ shape_predictor = "./files/shape_predictor_68_face_landmarks.dat"
EYE_AR_THRESH = 0.2 # If the EAR goes < this for 48 frames, it is counted as drowsiness
EYE_AR_CONSEC_FRAMES = 24
COUNTER = 0
ALERT = False
########################
@ -195,6 +191,10 @@ ALERT = False
########################
def sleepiness():
COUNTER = 0
#ALERT = False
print("Initialising Facial Landmark Predictor...")
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(shape_predictor)
@ -209,17 +209,17 @@ def sleepiness():
frame = vs.read()
frame = imutils.resize(frame, width=450)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
rects = detector(gray, 0)
for rect in rects:
shape = predictor(gray, rect)
shape = face_utils.shape_to_np(shape)
leftEye = shape[lStart:lEnd]
rightEye = shape[rStart:rEnd]
leftEAR = eye_aspect_ratio(leftEye)
rightEAR = eye_aspect_ratio(rightEye)
ear = (leftEAR + rightEAR) / 2.0
leftEyeHull = cv2.convexHull(leftEye)
@ -229,41 +229,39 @@ def sleepiness():
if ear < EYE_AR_THRESH:
COUNTER += 1
# if the eyes were closed for a sufficient number of
# then sound the alarm
if COUNTER >= EYE_AR_CONSEC_FRAMES:
# if the alarm is not on, turn it on
if not ALARM_ON:
ALARM_ON = True
# draw an alarm on the frame
cv2.putText(frame, "Sleepiness Detected!", (10, 30),
cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
print("Sleepiness Detected!")
print("\a");print("\a");print("\a");print("\a");print("\a")
print("\a");print("\a");print("\a");print("\a");print("\a")
print("\a");print("\a");print("\a");print("\a");print("\a")
print("\n \n \n")
zomato()
time.sleep(5)
exit()
else:
COUNTER = 0
ALARM_ON = False
cv2.putText(frame, "Ratio: {:.2f}".format(ear), (300, 30),
cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
cv2.imshow("Frame", frame)
key = cv2.waitKey(1) & 0xFF
# breaks loop on q
if key == ord("q"):
break
cv2.destroyAllWindows()
vs.stop()
@ -278,7 +276,7 @@ def maxspeed(coordinates, radius):
#######################
# Query for Open Maps #
#######################
#######################
result = api.query("""
way(around:""" + radius + """,""" + lat + """,""" + lon + """) ["maxspeed"];
@ -288,36 +286,37 @@ def maxspeed(coordinates, radius):
results_list = []
for way in result.ways:
road = {}
road["name"] = way.tags.get("name", "n/a")
road["speed_limit"] = way.tags.get("maxspeed", "n/a")
nodes = []
for node in way.nodes:
nodes.append((node.lat, node.lon))
road["nodes"] = nodes
results_list.append(road)
return results_list
road = {}
road["name"] = way.tags.get("name", "n/a")
road["speed_limit"] = way.tags.get("maxspeed", "n/a")
nodes = []
for node in way.nodes:
nodes.append((node.lat, node.lon))
road["nodes"] = nodes
results_list.append(road)
return results_list
############################################################################################################################
# Gives data to the function and gets json in return. This json is then parsed. Then the double quotes are stripped off it #
############################################################################################################################
#########################################################################
# Gives data to the function and gets json in return. #
#This json is then parsed. Then the double quotes are stripped off it #
#########################################################################
def speedlim():
speedLimit = sjson.dumps(maxspeed((str(glat), str(glng)), radius)[0]['speed_limit']).strip('\"')
while(True):
carSpeedDummy = open("./files/carSpeed.txt","r")
while True:
carSpeedDummy = open("./files/carSpeed.txt", "r")
carSpeed = carSpeedDummy.read()
#print(carSpeed)
#carSpeed = 29
while(int(carSpeed) > int(speedLimit)):
carSpeedDummy = open("./files/carSpeed.txt","r")
while int(carSpeed) > int(speedLimit):
carSpeedDummy = open("./files/carSpeed.txt", "r")
carSpeed = carSpeedDummy.read()
print("Over The Speed Limit")
time.sleep(5)
while(int(carSpeed) <= int(speedLimit)):
carSpeedDummy = open("./files/carSpeed.txt","r")
while int(carSpeed) <= int(speedLimit):
carSpeedDummy = open("./files/carSpeed.txt", "r")
carSpeed = carSpeedDummy.read()
print("Under the Speed Limit")
time.sleep(5)
@ -327,16 +326,17 @@ def speedlim():
##################
def brakes():
while(True):
tweet()
while True:
tweetMe()
#####################################################
# Using Argument Parse to run one command at a time #
#####################################################
parser = argparse.ArgumentParser()
FUNCTION_MAP = {'overspeed' : speedlim, 'sleep-detector' : sleepiness, 'sudden-braking' : brakes, 'drunk' : drunk }
FUNCTION_MAP = {'overspeed' : speedlim, 'sleep-detector' : sleepiness,
'sudden-braking' : brakes, 'drunk' : drunk}
parser.add_argument('function', choices=list(FUNCTION_MAP))
args = parser.parse_args()
func = FUNCTION_MAP[args.function]
func()
FUNC = FUNCTION_MAP[args.function]
FUNC()