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SOL4Py Sample: AdaptiveThresholdingCannyEdgeDetector
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#******************************************************************************
#
# Copyright (c) 2018-2019 Antillia.com TOSHIYUKI ARAI. ALL RIGHTS RESERVED.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
#******************************************************************************
# AdaptiveThresholdCannyEdgeDetector.py
# encodig: utf-8
import sys
import os
import cv2
import traceback
from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
#
sys.path.append('../')
from SOL4Py.ZApplicationView import *
from SOL4Py.ZLabeledComboBox import ZLabeledComboBox
from SOL4Py.ZLabeledSlider import ZLabeledSlider
from SOL4Py.opencv.ZOpenCVImageView import ZOpenCVImageView
from SOL4Py.ZVerticalPane import ZVerticalPane
class MainView(ZApplicationView):
# Inner classes
#--------------------------------------------
class SourceImageView(ZOpenCVImageView):
def __init__(self, parent):
ZOpenCVImageView.__init__(self, parent)
def load(self, filename):
self.load_opencv_image(filename)
self.update()
class DetectedImageView(ZOpenCVImageView):
def __init__(self, parent):
ZOpenCVImageView.__init__(self, parent)
def load(self, filename):
source_image = self.load_opencv_image(filename)
self.gray_image = cv2.cvtColor(source_image, cv2.COLOR_RGB2GRAY)
def detect(self, adaptive_method_id, threshold_type_id, block_size, threshold1, threshold2):
MAX_PIXEL_VALUE = 255;
C = 9.0;
adapted_image = cv2.adaptiveThreshold(self.gray_image, MAX_PIXEL_VALUE,
adaptive_method_id, threshold_type_id, block_size, C);
detected_image = cv2.Canny(adapted_image, threshold1, threshold2);
self.set_opencv_image(detected_image)
self.update()
#--------------------------------------------
# MainView Constructor
def __init__(self, title, x, y, width, height):
super(MainView, self).__init__(title, x, y, width, height)
filename = "../images/SuperCar2.png"
# 1 Create first imageview.
self.source_image_view = self.SourceImageView(self)
# 2 Create second imageview.
self.detected_image_view = self.DetectedImageView(self)
# 3 Load the file
self.load_file(filename)
# 4 Add imageviews to the main_layout which is a horizontal layouter.
self.add(self.source_image_view)
self.add(self.detected_image_view)
self.detected_image_view.detect(self.adaptive_method_id, self.threshold_type_id, self.block_size,
self.threshold1, self.threshold2)
self.show()
def add_control_pane(self, fixed_width=220):
# Control pane widget
self.block_size = 11
self.vpane = ZVerticalPane(self, fixed_width)
self.adaptive_method_id = 0
self.threshold_type_id = 0
self.methods = {"ADAPTIVE_THRESH_MEAN_C": cv2.ADAPTIVE_THRESH_MEAN_C,
"ADAPTIVE_THRESH_GAUSSIAN_C": cv2.ADAPTIVE_THRESH_GAUSSIAN_C}
self.types = {"THRESH_BINARY": cv2.THRESH_BINARY ,
"THRESH_BINARY_INV": cv2.THRESH_BINARY_INV }
self.adaptive_method = ZLabeledComboBox(self.vpane, "AdaptiveMethod")
self.adaptive_method.add_items(list(self.methods.keys() ))
self.adaptive_method.add_activated_callback(self.adaptive_method_activated)
self.threshold_type = ZLabeledComboBox(self.vpane, "ThresholdType")
self.threshold_type.add_items(list(self.types.keys()) )
self.threshold_type.add_activated_callback(self.threshold_type_activated)
self.block_size_slider = ZLabeledSlider(self.vpane, "BlockSize", take_odd =True,
minimum=3, maximum=43, value=self.block_size, fixed_width=200)
self.block_size_slider.add_value_changed_callback(self.block_size_changed)
self.vpane.add(self.adaptive_method)
self.vpane.add(self.threshold_type)
self.vpane.add(self.block_size_slider)
self.threshold1 = 50
self.threshold2 = 100
self.threshold1_slider = ZLabeledSlider(self.vpane, "Threshold1", take_odd =True,
minimum=0, maximum=300, value=self.threshold1)
self.threshold1_slider.add_value_changed_callback(self.slider1_value_changed)
self.threshold2_slider = ZLabeledSlider(self.vpane, "Threshold2", take_odd =True,
minimum=0, maximum=300, value=self.threshold2)
self.threshold2_slider.add_value_changed_callback(self.slider2_value_changed)
self.vpane.add(self.threshold1_slider)
self.vpane.add(self.threshold2_slider)
self.set_right_dock(self.vpane)
def file_open(self):
options = QFileDialog.Options()
filename, _ = QFileDialog.getOpenFileName(self,"FileOpenDialog", "",
"All Files (*);;Image Files (*.png;*jpg;*.jpeg)", options=options)
if filename:
self.load_file(filename)
def load_file(self, filename):
self.source_image_view.load(filename)
self.detected_image_view.load(filename)
self.detected_image_view.detect(self.adaptive_method_id, self.threshold_type_id, self.block_size,
self.threshold1, self.threshold2)
self.set_filenamed_title(filename)
def block_size_changed(self, value):
self.block_size = int(value)
if self.block_size % 2 == 0:
# Block size should be odd.
self.block_size = int((self.block_size * 2)/2 + 1)
#print("block_size_changed:{}".format(block_size))
self.detected_image_view.detect(self.adaptive_method_id, self.threshold_type_id, self.block_size,
self.threshold1, self.threshold2)
def adaptive_method_activated(self, text):
self.adaptive_method_id = self.methods[text]
#print("adaptive_method_activated:{}{}".format(text, self.adaptive_method_id))
self.detected_image_view.detect(self.adaptive_method_id, self.threshold_type_id, self.block_size,
self.threshold1, self.threshold2)
def threshold_type_activated(self, text):
self.threshold_type_id = self.types[text]
#print("threshold_type_activated:{}{}".format(text, self.threshold_type_id))
self.detected_image_view.detect(self.adaptive_method_id, self.threshold_type_id, self.block_size,
self.threshold1, self.threshold2)
def slider1_value_changed(self, value):
self.threshold1 = int(value)
#print("slider1_value_changed:{}".format(value))
self.detected_image_view.detect(self.adaptive_method_id, self.threshold_type_id, self.block_size,
self.threshold1, self.threshold2)
def slider2_value_changed(self, value):
self.threshold2 = int(value)
#print("slider2_value_changed:{}".format(value))
self.detected_image_view.detect(self.adaptive_method_id, self.threshold_type_id, self.block_size,
self.threshold1, self.threshold2)
#*************************************************
#
if main(__name__):
try:
app_name = os.path.basename(sys.argv[0])
applet = QApplication(sys.argv)
main_view = MainView(app_name, 40, 40, 900, 380)
main_view.show ()
applet.exec_()
except:
traceback.print_exc()
Last modified: 22 Mar. 2019