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
科雷软件测试4 小时前
Python中itertools.product:快速生成笛卡尔积
开发语言·python
派大星~课堂6 小时前
【力扣-142. 环形链表2 ✨】Python笔记
python·leetcode·链表
Thomas.Sir6 小时前
第一章:Agent智能体开发实战之【初步认识 LlamaIndex:从入门到实操】
人工智能·python·ai·检索增强·llama·llamaindex
ZTL-NPU7 小时前
Jetbrains开发ros
ide·python·pycharm·编辑器·ros·clion
环黄金线HHJX.8 小时前
TSE框架配置与部署详解
开发语言·python
琪伦的工具库8 小时前
归档素材批量叠拍摄参数与水印:桌面工具记录
图像处理
前端摸鱼匠8 小时前
YOLOv11与OpenCV 联动实战:读取摄像头实时视频流并用 YOLOv11 进行检测(三)
人工智能·python·opencv·yolo·目标检测·计算机视觉·目标跟踪
Pyeako8 小时前
PyQt5 + PaddleOCR实战:打造桌面级实时文字识别工具
开发语言·人工智能·python·qt·paddleocr·pyqt5
喝凉白开都长肉的大胖子9 小时前
在 Matplotlib 中fontweight一般怎么设置
python·matplotlib
HAPPY酷10 小时前
Python高级架构师之路——从原理到实战
java·python·算法