/
main.py
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/
main.py
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#!/usr/bin/python3
# -*- coding: utf-8 -*-
import sys
from PyQt5.QtWidgets import *
from PyQt5.QtCore import QRect, Qt
from PyQt5.QtGui import *
import numpy as np
import matplotlib.image as mpimg
import util
class Example(QMainWindow):
def __init__(self):
super(Example, self).__init__()
self.initUI()
def initUI(self):
"""
Main Window global parameters
"""
self.imgOriginal = np.array([])
self.mainWidth = 1280
self.mainHeight = 640
self.main = QLabel()
self.imgNpBefore = np.array([])
self.imgNpAfter = np.array([])
self.skin = mpimg.imread('res/skin.jpg')
grid = QGridLayout()
self.main.setLayout(grid)
self.mainBefore = QLabel('Before')
self.mainBefore.setAlignment(Qt.AlignHCenter | Qt.AlignVCenter)
self.mainBefore.setWordWrap(True)
self.mainBefore.setFont(QFont('Monospace', 10))
self.mainAfter = QLabel('After')
self.mainAfter.setAlignment(Qt.AlignHCenter | Qt.AlignVCenter)
self.mainAfter.setWordWrap(True)
self.mainAfter.setFont(QFont('Monospace', 10))
grid.addWidget(self.mainBefore, 0, 0)
grid.addWidget(self.mainAfter, 0, 1)
"""
Menu Bar
"""
# FILE MENU
openFile = QAction('Open', self)
openFile.setShortcut('Ctrl+O')
openFile.setStatusTip('Open new File')
openFile.triggered.connect(self.showDialog)
exitAction = QAction('Exit', self)
exitAction.setShortcut('Ctrl+Q')
exitAction.setStatusTip('Exit application')
exitAction.triggered.connect(self.close)
moveLeft = QAction('Move Left', self)
moveLeft.setShortcut('Ctrl+L')
moveLeft.triggered.connect(lambda: self.updateBefore(self.imgNpAfter))
# PROCESS MENU
equalizeMenu = QAction('Equalize', self)
equalizeMenu.triggered.connect(lambda: self.updateImgAfter(util.equalize(self.imgNpBefore)))
histogramMenu = QAction('Histogram', self)
#histogramMenu.triggered.connect(lambda: self.updateImgAfter(
grayscaleMenu = QAction('Grayscale', self)
grayscaleMenu.triggered.connect(lambda: self.updateImgAfter(util.getgrayscale(self.imgNpBefore)))
binarizeMenu = QAction('Binarize', self)
binarizeMenu.triggered.connect(lambda: self.updateImgAfter(util.otsu(self.imgNpBefore)))
gaussianMenu = QAction('Smooth', self)
gaussianMenu.triggered.connect(lambda: self.updateImgAfter(util.convolvefft(util.gaussian_filt(), util.getgrayscale(self.imgNpBefore))))
resizeMenu = QAction('Resize', self)
resizeMenu.triggered.connect(lambda: self.updateImgAfter(util.downsample(self.imgNpBefore)))
segmentMenu = QAction('Segment', self)
segmentMenu.triggered.connect(lambda: self.updateImgAfter(util.showobj(util.downsample(self.imgNpBefore, target_height=480), util.segment(util.thin(util.otsu(util.downsample(self.imgNpBefore, target_height=480), bg='light'))), box=False)))
# EDGE DETECTION MENU
averageMenu = QAction('Average', self)
averageMenu.triggered.connect(lambda: self.updateImgAfter(util.degreezero(self.imgNpBefore, type="average")))
differenceMenu = QAction('Difference', self)
differenceMenu.triggered.connect(lambda: self.updateImgAfter(util.degreezero(self.imgNpBefore, type="difference")))
homogenMenu = QAction('Homogen', self)
homogenMenu.triggered.connect(lambda: self.updateImgAfter(util.degreezero(self.imgNpBefore, type="homogen")))
sobelMenu = QAction('Sobel', self)
sobelMenu.triggered.connect(lambda: self.updateImgAfter(util.degreeone(self.imgNpBefore, type="sobel")))
prewittMenu = QAction('Prewitt', self)
prewittMenu.triggered.connect(lambda: self.updateImgAfter(util.degreeone(self.imgNpBefore, type="prewitt")))
freichenMenu = QAction('Frei-Chen', self)
freichenMenu.triggered.connect(lambda: self.updateImgAfter(util.degreeone(self.imgNpBefore, type="freichen")))
kirschMenu = QAction('Kirsch', self)
kirschMenu.triggered.connect(lambda: self.updateImgAfter(util.degreetwo(self.imgNpBefore, type="kirsch")))
# FEATURE MENU
chaincodeMenu = QAction('Chain code', self)
chaincodeMenu.triggered.connect(lambda: self.updateTxtAfter(str([util.getdirection(chain[n][0], chain[n][1]) for chain in util.segment(util.thin(self.imgNpBefore), cc=True) for n in xrange(len(chain))])))
turncodeMenu = QAction('Turn code', self)
turncodeMenu.triggered.connect(lambda: self.updateTxtAfter(str([util.getturncode(cc) for cc in util.segment(util.thin(self.imgNpBefore, bg='light'), cc=False)])))
skeletonMenu = QAction('Zhang-Suen thinning', self)
skeletonMenu.triggered.connect(lambda:self.updateImgAfter(util.zhangsuen(util.binarize(self.imgNpBefore, bg='light'))))
skinMenu = QAction('Boundary detection', self)
skinMenu.triggered.connect(lambda:self.updateImgAfter(util.thin(self.imgNpBefore, bg='light')))
freemanMenu = QAction('Contour profile', self)
# RECOGNITION MENU
freemantrainfontMenu = QAction('Train Contour Font', self)
freemantrainfontMenu.triggered.connect(lambda: util.train(self.imgNpBefore, feats='zs', order='font', setname='font'))
freemantrainplatMenu = QAction('Train ZS Plate (GNB)', self)
freemantrainplatMenu.triggered.connect(lambda: util.train(self.imgNpBefore, feats='zs', order='plat', setname='plat'))
cctctrainfontMenu = QAction('Train CC + TC Font', self)
cctctrainplatMenu = QAction('Train CC + TC Plate', self)
freemantestfontMenu = QAction('Predict Contour Font', self)
freemantestfontMenu.triggered.connect(lambda: self.updateTxtAfter(util.test(self.imgNpBefore, feats='zs', order='font', setname='font')))
freemantestplatMenu = QAction('Predict Contour Plate', self)
freemantestplatMenu.triggered.connect(lambda:self.updateTxtAfter(util.test(self.imgNpBefore, feats='zs', order='plat', setname='plat')))
cctctestfontMenu = QAction('Predict CC + TC Font', self)
cctctestplatMenu = QAction('Predict CC + TC Plate', self)
facesMenu = QAction('Show faces', self)
facesMenu.triggered.connect(lambda: self.updateImgAfter(util.getFaces(self.imgNpBefore, self.skin, range=70)))
faceMenu = QAction('Show facial features', self)
faceMenu.triggered.connect(lambda: self.updateImgAfter(util.showobj(self.imgNpBefore, util.getFaceFeats(self.imgNpBefore, self.skin, range=100), color=False)))
# MENU BAR
menubar = self.menuBar()
fileMenu = menubar.addMenu('&File')
fileMenu.addAction(openFile)
fileMenu.addAction(exitAction)
fileMenu.addAction(moveLeft)
processMenu = menubar.addMenu('&Preprocess')
#processMenu.addAction(histogramMenu)
processMenu.addAction(equalizeMenu)
processMenu.addAction(grayscaleMenu)
processMenu.addAction(binarizeMenu)
processMenu.addAction(gaussianMenu)
processMenu.addAction(resizeMenu)
processMenu.addAction(segmentMenu)
edgeMenu = menubar.addMenu('&Edge Detection')
edgeMenu.addAction(averageMenu)
edgeMenu.addAction(differenceMenu)
edgeMenu.addAction(homogenMenu)
edgeMenu.addAction(sobelMenu)
edgeMenu.addAction(prewittMenu)
edgeMenu.addAction(freichenMenu)
edgeMenu.addAction(kirschMenu)
featureMenu = menubar.addMenu('&Features')
featureMenu.addAction(chaincodeMenu)
featureMenu.addAction(turncodeMenu)
featureMenu.addAction(skeletonMenu)
featureMenu.addAction(skinMenu)
featureMenu.addAction(freemanMenu)
recogMenu = menubar.addMenu('&Recognition')
recogMenu.addAction(freemantrainfontMenu)
recogMenu.addAction(freemantrainplatMenu)
recogMenu.addAction(cctctrainfontMenu)
recogMenu.addAction(cctctrainplatMenu)
recogMenu.addAction(freemantestfontMenu)
recogMenu.addAction(freemantestplatMenu)
recogMenu.addAction(cctctestfontMenu)
recogMenu.addAction(cctctestplatMenu)
recogMenu.addAction(facesMenu)
recogMenu.addAction(faceMenu)
#recogMenu.addAction(
"""
Toolbar, Status Bar, Tooltip
"""
self.statusBar().showMessage('Ready')
QToolTip.setFont(QFont('SansSerif', 10))
#self.setToolTip('This is a <b>QWidget</b> widget')
"""
Displaying
"""
self.setGeometry(12, 30, self.mainWidth, self.mainHeight+80)
self.setWindowTitle('Pyxel')
self.setWindowIcon(QIcon('res/web.png'))
self.setCentralWidget(self.main)
self.main.setGeometry(QRect(0, 80, self.mainWidth, self.mainHeight))
#self.mainAfter.setGeometry(QRect(self.mainWidth/2, 80, self.mainWidth/2, self.mainHeight))
self.show()
def showDialog(self):
fname = QFileDialog.getOpenFileName(self, 'Open file', '/home/cilsat/Dropbox/kuliah/sem1/pp')
if fname[0]:
imgOriginal = np.require(mpimg.imread(fname[0]), np.uint8, 'C')
self.updateBefore(imgOriginal)
def updateBefore(self, img):
# the image format depends on the size/shape of the input image array
img = img.astype(np.uint8)
img = util.downsample(img, target_height=480)
if len(img.shape) == 3:
height, width, bytesPerPixel = img.shape
if bytesPerPixel == 3:
imgBefore = QImage(img, width, height, bytesPerPixel*width, QImage.Format_RGB888)
elif bytesPerPixel == 4:
imgBefore = QImage(img, width, height, bytesPerPixel*width, QImage.Format_RGBA8888_Premultiplied)
elif img.shape[-1] == 1:
imgBefore = QImage(img, width, height, width, QImage.Format_Indexed8)
elif len(img.shape) == 2:
height, width = img.shape
if img.dtype == np.bool:
img = img.astype(np.uint8)*128
imgBefore = QImage(img, width, height, width, QImage.Format_Indexed8)
if img.dtype == np.uint8:
imgBefore = QImage(img, width, height, width, QImage.Format_Indexed8)
myPixmap = QPixmap.fromImage(imgBefore)
myPixmap = myPixmap.scaled(self.mainBefore.size(), Qt.KeepAspectRatio)
self.mainBefore.setPixmap(myPixmap)
self.imgNpBefore = img
def updateImgAfter(self, img):
if img.dtype == bool:
img = np.array(img*255, dtype=np.uint8)
else:
img = img.astype(np.uint8)
img = img.astype(np.uint8)
# the image format depends on the size/shape of the input image array
if len(img.shape) == 3:
height, width, bytesPerPixel = img.shape
if bytesPerPixel == 3:
imgAfter = QImage(img, width, height, bytesPerPixel*width, QImage.Format_RGB888)
elif bytesPerPixel == 4:
imgAfter = QImage(img, width, height, bytesPerPixel*width, QImage.Format_RGBA8888_Premultiplied)
elif img.shape[-1] == 1:
imgAfter = QImage(img, width, height, width, QImage.Format_Indexed8)
elif len(img.shape) == 2:
height, width = img.shape
imgAfter = QImage(img, width, height, width, QImage.Format_Indexed8)
myPixmap = QPixmap.fromImage(imgAfter)
myPixmap = myPixmap.scaled(self.mainAfter.size(), Qt.KeepAspectRatio)
self.mainAfter.setPixmap(myPixmap)
self.imgNpAfter = img
def updateTxtAfter(self, txt):
self.mainAfter.setText(txt)
def equalize(self):
eq = util.equalize(self.imgNpBefore)
self.updateImgAfter(eq)
if __name__ == '__main__':
app = QApplication(sys.argv)
ex = Example()
sys.exit(app.exec_())