利用python装饰器,客制化图像处理功能

文章目录

有时间再写

detection_plugin.py

python 复制代码
# detection_plugin.py
import cv2
import numpy as np
from plugin_interface import ImageProcessingPlugin

class EdgeDetectionPlugin(ImageProcessingPlugin):
    def process_image(self, image_path):
        # 读取图像
        image = cv2.imread(image_path, cv2.IMREAD_COLOR)
        if image is None:
            return None, "Image not found"

        # 转换为灰度图像
        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

        # 边缘检测
        edges = cv2.Canny(gray, 100, 200)

        return edges, None

main.py

python 复制代码
import sys
import importlib.util
from PyQt5.QtWidgets import QApplication, QMainWindow, QFileDialog, QPushButton, QLabel, QVBoxLayout, QWidget, QMessageBox
from PyQt5.QtGui import QPixmap, QImage
from PyQt5.QtCore import Qt
from plugin_interface import ImageProcessingPlugin

class ImageViewer(QWidget):
    def __init__(self):
        super().__init__()
        self.image_label = QLabel()
        layout = QVBoxLayout()
        layout.addWidget(self.image_label)
        self.setLayout(layout)

    def load_image(self, pixmap):
        self.image_label.setPixmap(pixmap)

    def load_image_from_path(self, file_path):
        pixmap = QPixmap(file_path)
        self.load_image(pixmap)

    def display_edges(self, edges):
        # 转换边缘检测结果为 QPixmap 显示
        height, width = edges.shape
        qimage = QImage(edges.data, width, height, width, QImage.Format_Grayscale8)
        pixmap = QPixmap.fromImage(qimage)
        self.load_image(pixmap)

class MainWindow(QMainWindow):
    def __init__(self):
        super().__init__()
        self.setWindowTitle('Image Viewer with Plugin')
        self.setGeometry(100, 100, 800, 600)

        self.current_plugin = None
        self.file_path = None
        self.plugin_path = None

        central_widget = QWidget()
        self.setCentralWidget(central_widget)
        layout = QVBoxLayout(central_widget)

        # 图像查看器
        self.image_viewer = ImageViewer()
        layout.addWidget(self.image_viewer)

        # 加载图像按钮
        self.load_button = QPushButton('Load Image')
        self.load_button.clicked.connect(self.load_image)
        layout.addWidget(self.load_button)

        # 执行检测按钮
        self.detect_button = QPushButton('Detect Edges')
        self.detect_button.clicked.connect(self.detect_edges)
        layout.addWidget(self.detect_button)

        # 状态标签
        self.status_label = QLabel('Status: ')
        layout.addWidget(self.status_label)

        # 选择插件按钮
        self.load_plugin_button = QPushButton('Load Plugin')
        self.load_plugin_button.clicked.connect(self.load_plugin)
        layout.addWidget(self.load_plugin_button)

    def load_image(self):
        self.file_path, _ = QFileDialog.getOpenFileName(self, 'Open Image File', '', 'Images (*.png *.xpm *.jpg *.bmp)')
        if self.file_path:
            self.image_viewer.load_image_from_path(self.file_path)
            self.status_label.setText(f'Status: Loaded {self.file_path}')

    def load_plugin(self):
        # 选择插件文件
        self.plugin_path, _ = QFileDialog.getOpenFileName(self, 'Select Plugin File', '', 'Python Files (*.py)')
        if self.plugin_path:
            try:
                # 动态加载插件
                spec = importlib.util.spec_from_file_location("plugin", self.plugin_path)
                plugin_module = importlib.util.module_from_spec(spec)
                spec.loader.exec_module(plugin_module)

                # 假设插件文件中有一个名为 EdgeDetectionPlugin 的类
                plugin_class = getattr(plugin_module, 'EdgeDetectionPlugin', None)
                if plugin_class and issubclass(plugin_class, ImageProcessingPlugin):
                    self.current_plugin = plugin_class()
                    QMessageBox.information(self, 'Plugin Loaded', 'Plugin loaded successfully.')
                else:
                    QMessageBox.warning(self, 'Plugin Error', 'The selected file does not contain a valid ImageProcessingPlugin implementation.')
            except Exception as e:
                QMessageBox.warning(self, 'Plugin Error', f'Failed to load plugin: {e}')

    def detect_edges(self):
        if not self.file_path:
            QMessageBox.warning(self, 'No Image Loaded', 'Please load an image first.')
            return

        if not self.current_plugin:
            QMessageBox.warning(self, 'No Plugin Loaded', 'Please load a plugin first.')
            return

        edges, error = self.current_plugin.process_image(self.file_path)
        if error:
            QMessageBox.warning(self, 'Detection Error', error)
            return

        self.image_viewer.display_edges(edges)
        self.status_label.setText(f'Status: Edges Detected')

if __name__ == '__main__':
    app = QApplication(sys.argv)
    main_window = MainWindow()
    main_window.show()
    sys.exit(app.exec_())

plugin_interface.py

python 复制代码
from abc import ABC, abstractmethod

class ImageProcessingPlugin(ABC):
    @abstractmethod
    def process_image(self, image_path):
        """处理图像并返回结果"""
        pass
相关推荐
程序猿202314 分钟前
Python每日一练---第十二天:验证回文串
开发语言·python
沿着路走到底18 分钟前
python 判断与循环
java·前端·python
jz_ddk1 小时前
[数学基础] 瑞利分布:数学原理、物理意义及Python实验
开发语言·python·数学·概率论·信号分析
陈辛chenxin2 小时前
【大数据技术06】大数据技术
大数据·hadoop·分布式·python·信息可视化
狮子也疯狂2 小时前
基于Django实现的智慧校园考试系统-自动组卷算法实现
python·算法·django
云动雨颤3 小时前
爬虫是怎么工作的?从原理到用途
爬虫·python·数据挖掘
月下倩影时3 小时前
ROS1基础入门:从零搭建机器人通信系统(Python/C++)
c++·python·机器人
粉色挖掘机3 小时前
矩阵在图像处理中的应用
图像处理·深度学习·线性代数·矩阵
Danceful_YJ3 小时前
36.优化方法
人工智能·pytorch·python·深度学习·优化器算法
C116113 小时前
Jupyter中选择不同的python 虚拟环境
开发语言·人工智能·python