使用python开发的闭运算调试器

简介

用来调试闭运算效果的小工具，滑动条可以控制滤波核的大小，用来查看不同滤波核下的闭运算效果。

效果

代码

import sys
from PyQt5.QtWidgets import QApplication, QWidget, QVBoxLayout, QHBoxLayout, QPushButton, QLabel, QFileDialog, QSlider
from PyQt5.QtGui import QPixmap, QImage
from PyQt5.QtCore import Qt
import cv2
import numpy as npclass ImageDisplayWidget(QWidget):def __init__(self):super().__init__()self.initUI()self.image = Nonedef initUI(self):self.main_layout = QVBoxLayout()self.resize(820, 620)self.open_button = self.create_button("打开图片", self.open_image)self.img_win = QWidget()img_win_layout = QHBoxLayout()self.img_win.setLayout(img_win_layout)self.orgin_img_label = QLabel()self.image_label = QLabel()self.add_image_view(img_win_layout, "原图", self.orgin_img_label)self.add_image_view(img_win_layout, "处理后的图", self.image_label)self.slider = self.create_slider(self.process_image)self.slider2 = self.create_slider(self.process_image)self.slider_value_label = QLabel("滤波核大小: 0x0")controls_layout = QHBoxLayout()self.add_control(controls_layout, "滤波核大小（ksize）:", self.slider, self.slider_value_label)controls_layout2 = QHBoxLayout()self.main_layout.addWidget(self.open_button)self.main_layout.addWidget(self.img_win)self.main_layout.addLayout(controls_layout)self.main_layout.addLayout(controls_layout2)self.setLayout(self.main_layout)self.setWindowTitle('闭运算调试器')self.set_common_style(self.slider_value_label)# self.set_common_style()self.show()def add_image_view(self, layout, label_text, image_label):image_view_layout = QVBoxLayout()name_label = QLabel(label_text)name_label.setAlignment(Qt.AlignCenter)image_view_layout.addWidget(image_label, alignment=Qt.AlignCenter)image_view_layout.addWidget(name_label, alignment=Qt.AlignCenter)layout.addLayout(image_view_layout)self.set_common_style(name_label)def create_button(self, text, clicked_slot):button = QPushButton(text)button.clicked.connect(clicked_slot)self.set_common_style(button)return buttondef create_slider(self, value_changed_slot):slider = QSlider(Qt.Horizontal)slider.setMinimum(1)slider.setMaximum(100)slider.setSingleStep(2)slider.valueChanged.connect(value_changed_slot)self.set_slider_style(slider)return sliderdef add_control(self, layout, label_text, slider, value_label):control_label = QLabel(label_text)layout.addWidget(control_label)layout.addWidget(slider)layout.addWidget(value_label)self.set_common_style(control_label)def set_common_style(self, label):label.setStyleSheet("""  QLabel {  font-family: '微软雅黑';  font-size: 12pt;  color: red;  }QPushButton {  font-family: '微软雅黑';  font-size: 12pt;  color: red;  }  """)def set_slider_style(self, slider):slider.setStyleSheet("""  QSlider::groove:horizontal {  background: #999999;  height: 8px;  margin: 0;  border-radius: 4px;  }  QSlider::handle:horizontal {  background: red;  border: 1px solid #999999;  width: 16px;  height: 16px;  margin: -7px 0; /* handle is placed in the middle */  border-radius: 8px;  }  QSlider::add-page:horizontal {  background: #FF0000; /* This is the red color from your font color */  }  QSlider::sub-page:horizontal {  background: #555555; /* You can choose a different color for the filled part */  }  """)def open_image(self):self.filename, _ = QFileDialog.getOpenFileName(self, '打开图片', '.', '图片文件 (*.png *.jpg *.jpeg *.bmp)')if self.filename:self.image = cv2.imread(self.filename)or_img = cv2.cvtColor(self.image, cv2.COLOR_BGR2RGB)h, w, ch = or_img.shapebytes_per_line = ch * wq_img = QImage(or_img.data, w, h, bytes_per_line, QImage.Format_RGB888)pixmap = QPixmap.fromImage(q_img)if pixmap.width() > 600 or pixmap.height() > 600:pixmap = pixmap.scaled(600, 600, Qt.KeepAspectRatio, Qt.SmoothTransformation)self.orgin_img_label.setPixmap(pixmap)self.process_image()def process_image(self):if self.image is None:returnkernel_size = self.slider.value()if kernel_size %2 == 0:passelse:self.slider_value_label.setText(f"矩形核大小: {kernel_size}x{kernel_size}")kernel = np.ones((kernel_size, kernel_size), np.uint8)processed_image = cv2.morphologyEx(self.image, cv2.MORPH_CLOSE, kernel)processed_image = cv2.cvtColor(processed_image, cv2.COLOR_BGR2RGB)h, w, ch = processed_image.shapebytes_per_line = ch * wq_img = QImage(processed_image.data, w, h, bytes_per_line, QImage.Format_RGB888)pixmap = QPixmap.fromImage(q_img)if pixmap.width() > 600 or pixmap.height() > 600:pixmap = pixmap.scaled(600, 600, Qt.KeepAspectRatio, Qt.SmoothTransformation)self.image_label.setPixmap(pixmap)if __name__ == '__main__':app = QApplication(sys.argv)ex = ImageDisplayWidget()sys.exit(app.exec_())