-
Notifications
You must be signed in to change notification settings - Fork 1
/
main.py
68 lines (52 loc) · 2.47 KB
/
main.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
# MIT License
# Copyright (c) 2017 Luca Angioloni and Francesco Pegoraro
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
"""
============
MICChinetta
============
An application interface using both face and speech recognition to achieve a transaction between the user and a vending machine.
"""
import sys
import time
from PyQt5.QtWidgets import QApplication # pip install PyQt5
from PyQt5.QtCore import (Qt, QObject, pyqtSignal)
qdark_present = True
try:
import qdarkstyle # Qt styling package, pip install qdarkstyle
except ImportError:
qdark_present = False
from MainWindow import MainWindow
from VideoWidget import VideoWidget
from DialogWidget import DialogWidget
from FaceRecogniser import FaceRecogniser
from Speech_DialogManager import Speech_DialogManager
if __name__ == '__main__':
app = QApplication(sys.argv)
if qdark_present: # load qdarkstyle if present
app.setStyleSheet(qdarkstyle.load_stylesheet_pyqt5())
face_recon = FaceRecogniser()
speechManager = Speech_DialogManager()
video = VideoWidget(face_recon)
dialog = DialogWidget(speechManager)
window = MainWindow(video, dialog) # The view controller / view (GUI)
# Qt Signals and slots connection
video.face_recogniser.person_identified.connect(window.activate_dialog, type=Qt.QueuedConnection)
dialog.speech_dialog_manager.finished.connect(window.activate_video, type=Qt.QueuedConnection)
# Starts with the Face Recognition
window.activate_video()
sys.exit(app.exec_())