def page():
Name = t1.get()
Purpose = purpose.get()
Age = t3.get()
Gender = gender.get()
City = city.get()
Mobile = t6.get()
PyMongo.insertNew(Name, Gender, City, Age, Purpose, Mobile)
engine.say("Thank you for response")
cv2.waitKey(2)
execfile("dataSetCreator.py")
def page():
name = t1.get()
age = t3.get()
if (float(age).is_integer() and 0 < age < 100):
page = Tk()
lp1 = Label(page, text="Data Entered Successfully")
lp1.pack()
PyMongo.insertNew(Name, Gender, City, Age, Purpose)
lp1 = Label(page, text="Data Entered Successfully")
lp1.grid(row=11, column=1)
cv2.waitKey(100)
execfile("dataSetCreator.py")
def page():
age=t1.get()
City=city.get()
Purpose=purpose.get()
PyMongo.insertPrev(id,City,age,Purpose)
#lp1 = Label(page,text="Data Entered Successfully")
#lp1.pack()
engine = pyttsx.init('sapi5');
#cv2.waitKey(2);
engine.say("Your data is successfully recorded ");
engine.runAndWait()
execfile("detector.py")
def create_app(config):
app = Flask(__name__)
app.config.from_object(config)
app.register_blueprint(route_path_general, url_prefix='/api')
app.register_blueprint(picture_blueprint)
mongo = PyMongo(app)
# START GLOBAL HTTP CONFIGURATIONS
@app.after_request
def add_header(response):
return response
@app.errorhandler(400)
def bad_request(e):
logging.error(e)
return response_with(resp.BAD_REQUEST_400)
@app.errorhandler(500)
def server_error(e):
logging.error(e)
return response_with(resp.SERVER_ERROR_500)
@app.errorhandler(404)
def not_found(e):
logging.error(e)
return response_with(resp.NOT_FOUND_HANDLER_404)
# END GLOBAL HTTP CONFIGURATIONS
@app.route("/api/v1.0/spec")
def spec():
swag = swagger(app, prefix='/api/v1.0')
swag['info']['version'] = "1.0"
swag['info']['title'] = "Flask Starter API"
return jsonify(swag)
db.init_app(app)
with app.app_context():
# from api.models import *
db.create_all()
logging.basicConfig(stream=sys.stdout,
format='%(asctime)s|%(levelname)s|%(filename)s:%(lineno)s|%(message)s',
level=logging.DEBUG)
return app
def FetchInfo(id):
profile1 = PyMongo.getProfile1(id)
#print profile1
profile2 = PyMongo.getProfile2(id)
#print profile2
name = profile1[0]
gender = profile1[1]
city = profile2[0]
age = profile2[1]
purpose = profile2[2]
time = profile2[3]
sm = 0
if (city == "Sangli"):
sm += (10)
elif (city == "Miraj"):
sm += (30)
elif (city == "Pune"):
sm += (50)
elif (city == "Mumbai"):
sm += (70)
#elif(60 < age < 80 or purpose == "Urgent"):
#execfile('SMS.py')
if (0 < age < 20):
sm += 20
elif (20 <= age < 40):
sm += 40
elif (40 <= age < 60):
sm += 60
if (purpose == "Meeting"):
sm += 50
elif (purpose == "Invitation"):
sm += 30
elif (purpose == "Personal"):
sm += 10
print sm
print purpose
print city
print age
if (sm > 150 or 60 < age < 80 or purpose == "Urgent"):
SMS.SendSMS(name, gender, city, purpose, mobile="9604091697")
else:
new_profile1 = PyMongo.getProfile1(id)
new_profile2 = PyMongo.getProfile2(id)
PyMongo.SCInsert(id, sm, time)
PyMongo.SCSchedule()
scaleFactor=1.3,
minNeighbors=4,
minSize=(30, 30),
flags=cv2.CASCADE_SCALE_IMAGE)
for (x, y, w, h) in faces:
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
id, conf = rec.predict(gray[y:y + h, x:x + w])
ls.append(id)
cnt += 1
if (cnt == 20):
cnt = 0
id = max(ls)
ls = []
profile = PyMongo.GetName(float(id))
print profile
engine = pyttsx.init('sapi5')
engine.say("Namaskaar !")
cv2.waitKey(2)
engine.say("Welcome to collector office ,Saanglee!" + str(profile))
cv2.waitKey(2)
engine.say("Please fill the following information")
cv2.waitKey(2)
engine.runAndWait()
city = raw_input("Enter city:")
age = raw_input("Enter age:")
purpose = raw_input("Enter purpose:")
PyMongo.insertPrev(id, city, age, purpose)
import flask import Flask, render_template, jsonify, redirect
import flask_pymongo import PyMongo
import scrape_mars
app = Flask (__name__)
mongo= PyMongo(app)
@app.route("/")
def index():
mars = mongo.db.mars.find_one()
return render_template("index.html", mars=mars)
@app.route("/scrape")
def scrape():
mars = mongo.db.mars
mars_data = scrape_mars.scrape()
mars.update(
{},
mars_data,
upsert=True
)
return redirect("http://localhost:5000/", code=302)
if __name__ == "__main__":
app.run(debug=True)
# Imports
from flask import Flask, render_template, redirect, jsonify
from featured_img_scrape import get_featured_image
from mars_facts import get_mars_facts
from mars_hemisphere_pic_scrape import get_image
from mission_to_mars import get_title, get_body
import PyMongo
# Create the App
app = Flask(__name__)
# Establish Mongo connection
mongodb = PyMongo(app, uri='http://127.0.0.1:5000/')
# Home route
@app.route("/")
def marsinfo():
cerberus = 'https://astrogeology.usgs.gov/search/map/Mars/Viking/cerberus_enhanced'
schiaparelli = 'https://astrogeology.usgs.gov/search/map/Mars/Viking/schiaparelli_enhanced'
syrtis_major = 'https://astrogeology.usgs.gov/search/map/Mars/Viking/syrtis_major_enhanced'
valles_marineris = 'https://astrogeology.usgs.gov/search/map/Mars/Viking/valles_marineris_enhanced'
featured_image = get_featured_image()
mars_facts = get_mars_facts()
title = get_title()
body = get_body()
cerberus_info = get_image(cerberus)
schiaparelli_info = get_image(schiaparelli)
syrtis_major_info = get_image(syrtis_major)
valles_marineris_info = get_image(valles_marineris)
#imgNp=np.array(bytearray(imgResponse.read()),dtype=np.uint8)
#img=cv2.imdecode(imgNp,-1)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = faceDetect.detectMultiScale(gray,
scaleFactor=1.3,
minNeighbors=4,
minSize=(30, 30),
flags=cv2.CASCADE_SCALE_IMAGE)
for (x, y, w, h) in faces:
sampleNum = sampleNum + 1
cv2.imwrite(
'dataSet/User.' + str(int(PyMongo.GetID(Name))) + "." +
str(sampleNum) + ".jpg", gray[y:y + h, x:x + w])
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.imshow("Please look here( src: webcam1)", img)
cv2.waitKey(100)
if (sampleNum >= 20):
break
#imgResponse.release()
#sys.exit()
#cam.release()
engine.say("Thank you")
cv2.destroyAllWindows()
#else:
#print("Error")
faces=faceDetect.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=4, minSize=(30, 30), flags = cv2.CASCADE_SCALE_IMAGE)
for(x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
id,conf = rec.predict(gray[y:y+h,x:x+w])
ls++.append(id)
cnt+=1
if(cnt==20):
cnt=0
id=max(ls)
ls=[]
profile = PyMongo.GetName(float(id));
print profile
engine = pyttsx.init('sapi5');
engine.say("Namaskaar !")
cv2.waitKey(2);
engine.say("Welcome to collector office ,Saanglee!"+str(profile));
engine.runAndWait()
cv2.waitKey(2)
#engine.say("Thank you for the response !")
#engine.runAndWait()