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
AIFQuant2 分钟前
外汇交易平台技术栈深度解析:行情 API、清算、风控、前端一体化方案
前端·python·websocket·金融·restful
_李小白3 分钟前
【android opencv学习笔记】Day 30: 滤波算法之拉普拉斯算子
android·opencv·学习
花酒锄作田6 小时前
[python]argparse 包在聊天机器人中的应用
python
NiceCloud喜云8 小时前
Opus 4.8 的 Effort Control 怎么选:Low 到 Max 五档策略
android·java·大数据·前端·c++·python·spring
AI玫瑰助手9 小时前
Python函数:默认参数的定义与注意事项
开发语言·python·信息可视化
weixin_468466859 小时前
全局与局部注意力机制新手实战指南
人工智能·python·深度学习·算法·自然语言处理·transformer·注意力机制
小糖学代码9 小时前
LLM系列:环境搭建:5.Python-dotenv 环境变量管理
人工智能·python·深度学习·神经网络
智慧物业老杨10 小时前
智慧物业合同周期管理系统:从风险预警到智能交接的全流程数智化落地方案
java·人工智能·python
橙橙笔记10 小时前
Python的学习第一部分
python·学习
voidmort11 小时前
3. 微调(Fine-tuning)与强化学习(RL)的核心思想
python·深度学习·算法