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ConServer.py
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ConServer.py
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from flask import Flask, render_template, session, url_for, request, jsonify, Response
import cv2
import time
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import Column, Integer, String, Float
from flask_marshmallow import Marshmallow
import os
from analysis.ageGender import AnalyzeFrame
from analysis.advertSuggestion import Suggestion
from analysis.TimeSeries import TimeSeriesPredict
from datetime import datetime as dt
app = Flask(__name__)
# cap1 = cv2.VideoCapture('rtsp://ubnt:[email protected]/s2')
# cap2 = cv2.VideoCapture('rtsp://ubnt:[email protected]/s2')
cap1 = cap2 = cv2.VideoCapture(0)
basedir = os.path.abspath(os.path.dirname(__file__))
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///' + os.path.join(basedir, 'data.db')
db = SQLAlchemy(app)
ma = Marshmallow(app)
display = {'gender': [0] * 2, 'age': [0] * 8}
faces = 0
loop_time = 0.1
advert_suggestion = Suggestion(local=0)
predictor = TimeSeriesPredict(local=0)
# database models
class Detected(db.Model):
id = Column(Integer, primary_key=True)
datetime = Column(String)
male = Column(Integer)
female = Column(Integer)
infant = Column(Integer) # self.ageList = ['(0-2)', '(4-6)', '(8-12)', '(15-20)', '(25-32)', '(38-43)', '(48-53)', '(60-100)']
baby = Column(Integer)
child = Column(Integer)
teen = Column(Integer)
young = Column(Integer)
adult = Column(Integer)
middle = Column(Integer)
senior = Column(Integer)
class DetectedSchema(ma.Schema):
class Meta:
fields = ('id', 'datetime', 'male', 'female', 'infant', 'baby', 'child', 'teen',
'young', 'adult', 'middle', 'senior')
detected_schema = DetectedSchema()
detected_schemas = DetectedSchema(many=True)
#@app.cli.command('db_create')
def db_create():
db.create_all()
print('database created!')
#@app.cli.command('db_drop')
def db_drop():
db.drop_all()
print('database dropped!')
#@app.cli.command('db_seed')
def db_seed():
entry = Detected(datetime="{:%d-%m-%Y %H:%M:%S}".format(dt.now()),
male=1,
female=0,
infant=0,
baby=0,
child=0,
teen=0,
young=0,
adult=1,
middle=0,
senior=0)
db.session.add(entry)
db.session.commit()
print('database seeded!')
def add_data(male, female, infant, baby, child, teen, young, adult, middle, senior):
db.session.add(Detected(datetime="{:%d-%m-%Y %H:%M:%S}".format(dt.now()),
male=male, female=female, infant=infant, baby=baby, child=child, teen=teen, young=young,
adult=adult, middle=middle, senior=senior))
db.session.commit()
class DataInput:
def __init__(self, seconds=20):
self.seconds = seconds
self.start = time.time()
self.compare = {}
self.times = round(60/self.seconds)
self.vector = (0,)*10
self.last = (0,)*10
def set_times(self):
self.times = round(60/self.seconds)
def add(self, data):
data = tuple(data)
if data != (0,)*10:
if data in self.compare:
self.compare[data] += 1
else:
self.compare[data] = 0
if self.times <= 0:
add_data(*max(self.compare, key=self.compare.get))
self.set_times()
self.compare = {}
elif self.times <= 0:
if len(self.compare) > 0:
add_data(*max(self.compare, key=self.compare.get))
self.set_times()
self.compare = {}
if (time.time() - self.start) > self.seconds:
try:
self.vector = max(self.compare, key=self.compare.get)
except ValueError:
self.vector = (0,) * 10
self.times -= 1
self.start = time.time()
data_input = DataInput()
@app.route('/')
def home():
return render_template('dashboard2.html')
class FrameManager:
def __init__(self, no=5, frame_limit=10):
self.no_of_frames = no
self.count = 0
self.frame_folder = 'static/frames'
self.frame_limit = frame_limit
self.frames = []
self.clean_up()
def clean_up(self):
for file in os.listdir(self.frame_folder):
os.remove(f'{self.frame_folder}/{file}')
def add_count(self):
self.count += 1
self.limit_count()
def limit_count(self):
if self.count > 50000:
self.count -= 50000
def skip_frame(self):
if self.count % self.no_of_frames == 0:
return True
return False
def save_frame(self, frame):
name = f'{self.frame_folder}/{round(time.time())}.jpg'
cv2.imwrite(name, frame)
return name
def remove_frame(self):
try:
os.remove(f'{self.frames.pop(0)}')
except FileNotFoundError:
pass
def add_frame(self, frame):
self.frames.append(self.save_frame(frame))
if len(self.frames) > self.frame_limit:
self.remove_frame()
frame_manager1 = FrameManager()
frame_manager2 = FrameManager(no=8)
def gen():
"""Video streaming generator function."""
# Read until video is completed
while (cap1.isOpened()):
# Capture frame-by-frame
ret = cap1.grab()
frame_manager1.add_count()
if frame_manager1.skip_frame():
if ret:
ret, img = cap1.retrieve()
img = cv2.resize(img, (0, 0), fx=1, fy=0.6)
frame = cv2.imencode('.jpg', img)[1].tobytes()
yield (b'--frame\r\n'b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')
time.sleep(loop_time)
else:
break
def gen1():
global display, faces
"""Video streaming generator function."""
# Read until video is completed
while (cap2.isOpened()):
# Capture frame-by-frame
ret = cap2.grab()
frame_manager2.add_count()
if frame_manager2.skip_frame():
if ret:
ret, img = cap2.retrieve()
img = cv2.resize(img, (0, 0), fx=1, fy=1)
img, display, faces = AnalyzeFrame().age_gender_detector(img)
# add_data(*display['gender']+display['age'])
frame_manager2.add_frame(img)
data_input.add(display['gender']+display['age'])
frame = cv2.imencode('.jpg', img)[1].tobytes()
yield (b'--frame\r\n'b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')
time.sleep(loop_time)
else:
break
# elif ret:
# ret, img = cap1.retrieve()
# img = cv2.resize(img, (0, 0), fx=1, fy=1)
# frame = cv2.imencode('.jpg', img)[1].tobytes()
# yield (b'--frame\r\n'b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')
# time.sleep(loop_time)
# else:
# break
@app.route('/video_feed')
def video_feed():
"""Video streaming route. Put this in the src attribute of an img tag."""
try:
return Response(gen(),
mimetype='multipart/x-mixed-replace; boundary=frame')
except cv2.error as e:
print('CV2 Error: ', e)
@app.route('/video_analysis')
def video_analytics():
"""Video streaming route. Put this in the src attribute of an img tag."""
try:
return Response(gen1(),
mimetype='multipart/x-mixed-replace; boundary=frame')
except cv2.error as e:
print('CV2 Error: ', e)
@app.route('/get_stat')
def get_stat():
return jsonify({**display, 'faces': faces}), 200
@app.route('/get_advert')
def get_advert():
is_predicted = 0
vector = data_input.vector
if vector == (0,)*10:
is_predicted = 1
vector = predictor.get_output(data_input.last)
data_input.last = vector
sex = ['male', 'female']
age_group = ['(0, 3)', '(4, 7)', '(8, 14)', '(15, 24)', '(25, 37)', '(38, 47)', '(48, 53)', '(60, 100)']
gender_list, age_list = vector[:2], vector[2:]
gender_max, age_max = max(gender_list), max(age_list)
gender, age = sex[gender_list.index(gender_max)], age_group[age_list.index(age_max)]
advert = advert_suggestion.suggest_random(age=age, gender=gender)
return jsonify({'advert': advert, 'is_predicted': is_predicted}), 200
@app.route('/get_frames')
def get_frames():
frames = frame_manager2.frames
return jsonify({'images': frames}), 200
if __name__ == '__main__':
# app.run(debug=True, host="0.0.0.0")
app.run(debug=True)