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#############################################################################
##
## Copyright (C) 2019 The Qt Company Ltd.
## Contact: https://www.qt.io/licensing/
##
## This file is part of the Qt for Python examples of the Qt Toolkit.
##
## $QT_BEGIN_LICENSE:LGPL$
## Commercial License Usage
## Licensees holding valid commercial Qt licenses may use this file in
## accordance with the commercial license agreement provided with the
## Software or, alternatively, in accordance with the terms contained in
## a written agreement between you and The Qt Company. For licensing terms
## and conditions see https://www.qt.io/terms-conditions. For further
## information use the contact form at https://www.qt.io/contact-us.
##
## GNU Lesser General Public License Usage
## Alternatively, this file may be used under the terms of the GNU Lesser
## General Public License version 3 as published by the Free Software
## Foundation and appearing in the file LICENSE.LGPL3 included in the
## packaging of this file. Please review the following information to
## ensure the GNU Lesser General Public License version 3 requirements
## will be met: https://www.gnu.org/licenses/lgpl-3.0.html.
##
## GNU General Public License Usage
## Alternatively, this file may be used under the terms of the GNU
## General Public License version 2.0 or (at your option) the GNU General
## Public license version 3 or any later version approved by the KDE Free
## Qt Foundation. The licenses are as published by the Free Software
## Foundation and appearing in the file LICENSE.GPL2 and LICENSE.GPL3
## included in the packaging of this file. Please review the following
## information to ensure the GNU General Public License requirements will
## be met: https://www.gnu.org/licenses/gpl-2.0.html and
## https://www.gnu.org/licenses/gpl-3.0.html.
##
## $QT_END_LICENSE$
##
#############################################################################
import os
import sys
import time
import cv2
from PySide2.QtCore import Qt, QThread, Signal, Slot
from PySide2.QtGui import QImage, QKeySequence, QPixmap
from PySide2.QtWidgets import (QAction, QApplication, QComboBox, QGroupBox,
QHBoxLayout, QLabel, QMainWindow, QPushButton,
QSizePolicy, QVBoxLayout, QWidget)
"""This example uses the video from a webcam to apply pattern
detection from the OpenCV module. e.g.: face, eyes, body, etc."""
class Thread(QThread):
updateFrame = Signal(QImage)
def __init__(self, parent=None):
QThread.__init__(self, parent)
self.trained_file = None
self.status = True
self.cap = True
def set_file(self, fname):
# The data comes with the 'opencv-python' module
self.trained_file = os.path.join(cv2.data.haarcascades, fname)
def run(self):
self.cap = cv2.VideoCapture(0)
while self.status:
cascade = cv2.CascadeClassifier(self.trained_file)
ret, frame = self.cap.read()
if not ret:
continue
# Reading frame in gray scale to process the pattern
gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
detections = cascade.detectMultiScale(gray_frame, scaleFactor=1.1,
minNeighbors=5, minSize=(30, 30))
# Drawing green rectangle around the pattern
for (x, y, w, h) in detections:
pos_ori = (x, y)
pos_end = (x + w, y + h)
color = (0, 255, 0)
cv2.rectangle(frame, pos_ori, pos_end, color, 2)
# Reading the image in RGB to display it
color_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
# Creating and scaling QImage
h, w, ch = color_frame.shape
img = QImage(color_frame.data, w, h, ch * w, QImage.Format_RGB888)
scaled_img = img.scaled(640, 480, Qt.KeepAspectRatio)
# Emit signal
self.updateFrame.emit(scaled_img)
sys.exit(-1)
class Window(QMainWindow):
def __init__(self):
QMainWindow.__init__(self)
# Title and dimensions
self.setWindowTitle("Patterns detection")
self.setGeometry(0, 0, 800, 500)
# Main menu bar
self.menu = self.menuBar()
self.menu_file = self.menu.addMenu("File")
exit = QAction("Exit", self, triggered=qApp.quit)
self.menu_file.addAction(exit)
self.menu_about = self.menu.addMenu("&About")
about = QAction("About Qt", self, shortcut=QKeySequence(QKeySequence.HelpContents),
triggered=qApp.aboutQt)
self.menu_about.addAction(about)
# Create a label for the display camera
self.label = QLabel(self)
self.label.setFixedSize(640, 480)
# Thread in charge of updating the image
self.th = Thread(self)
self.th.finished.connect(self.close)
self.th.updateFrame.connect(self.setImage)
# Model group
self.group_model = QGroupBox("Trained model")
self.group_model.setSizePolicy(QSizePolicy.Preferred, QSizePolicy.Expanding)
model_layout = QHBoxLayout()
self.combobox = QComboBox()
for xml_file in os.listdir(cv2.data.haarcascades):
if xml_file.endswith(".xml"):
self.combobox.addItem(xml_file)
model_layout.addWidget(QLabel("File:"), 10)
model_layout.addWidget(self.combobox, 90)
self.group_model.setLayout(model_layout)
# Buttons layout
buttons_layout = QHBoxLayout()
self.button1 = QPushButton("Start")
self.button2 = QPushButton("Stop/Close")
self.button1.setSizePolicy(QSizePolicy.Preferred, QSizePolicy.Expanding)
self.button2.setSizePolicy(QSizePolicy.Preferred, QSizePolicy.Expanding)
buttons_layout.addWidget(self.button2)
buttons_layout.addWidget(self.button1)
right_layout = QHBoxLayout()
right_layout.addWidget(self.group_model, 1)
right_layout.addLayout(buttons_layout, 1)
# Main layout
layout = QVBoxLayout()
layout.addWidget(self.label)
layout.addLayout(right_layout)
# Central widget
widget = QWidget(self)
widget.setLayout(layout)
self.setCentralWidget(widget)
# Connections
self.button1.clicked.connect(self.start)
self.button2.clicked.connect(self.kill_thread)
self.button2.setEnabled(False)
self.combobox.currentTextChanged.connect(self.set_model)
@Slot()
def set_model(self, text):
self.th.set_file(text)
@Slot()
def kill_thread(self):
print("Finishing...")
self.button2.setEnabled(False)
self.button1.setEnabled(True)
self.th.cap.release()
cv2.destroyAllWindows()
self.status = False
self.th.terminate()
# Give time for the thread to finish
time.sleep(1)
@Slot()
def start(self):
print("Starting...")
self.button2.setEnabled(True)
self.button1.setEnabled(False)
self.th.set_file(self.combobox.currentText())
self.th.start()
@Slot(QImage)
def setImage(self, image):
self.label.setPixmap(QPixmap.fromImage(image))
if __name__ == "__main__":
app = QApplication()
w = Window()
w.show()
sys.exit(app.exec_())
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