基于 PyQt5 和 OpenCV 进行图像处理操作的GUI工具初版

为了实现一个基于 PyQt5 和 OpenCV 的图形用户界面（GUI），要求如下：

左边显示加载的图片。
中间提供各种对图片进行处理的操作方法（如灰度化、模糊处理等）。
右边显示处理后的效果图。
接下来我将详细讲解如何实现这个界面。

1. 环境配置

确保你已经安装了 PyQt5 和 OpenCV：

pip install PyQt5
pip install opencv-python

2. 实现代码

以下是完整的代码实现，基于 PyQt5 创建 GUI，使用 OpenCV 进行图像处理操作：

import sys
import cv2
from PyQt5.QtWidgets import QApplication, QLabel, QPushButton, QVBoxLayout, QHBoxLayout, QWidget, QFileDialog
from PyQt5.QtGui import QImage, QPixmap
from PyQt5.QtCore import Qtclass ImageProcessorApp(QWidget):def __init__(self):super().__init__()# 初始化UIself.setWindowTitle("OpenCV Image Processing Tool")self.setGeometry(100, 100, 1200, 600)# 布局self.layout = QHBoxLayout()# 左侧：原始图片显示self.original_label = QLabel("Original Image")self.original_label.setAlignment(Qt.AlignCenter)self.layout.addWidget(self.original_label)# 中间：按钮操作self.button_layout = QVBoxLayout()self.open_button = QPushButton("Open Image")self.open_button.clicked.connect(self.open_image)self.button_layout.addWidget(self.open_button)self.gray_button = QPushButton("Grayscale")self.gray_button.clicked.connect(self.apply_grayscale)self.button_layout.addWidget(self.gray_button)self.blur_button = QPushButton("Blur Image")self.blur_button.clicked.connect(self.apply_blur)self.button_layout.addWidget(self.blur_button)self.reset_button = QPushButton("Reset Image")self.reset_button.clicked.connect(self.reset_image)self.button_layout.addWidget(self.reset_button)self.button_layout.addStretch()  # 中间空白拉伸self.layout.addLayout(self.button_layout)# 右侧：处理后的图像显示self.processed_label = QLabel("Processed Image")self.processed_label.setAlignment(Qt.AlignCenter)self.layout.addWidget(self.processed_label)# 设置主窗口布局self.setLayout(self.layout)# 变量用于存储加载和处理的图像self.original_image = Noneself.processed_image = Nonedef open_image(self):# 打开文件对话框选择图片image_path = QFileDialog.getOpenFileName(self, "Open Image", "", "Image Files (*.png *.jpg *.jpeg *.bmp)")[0]if image_path:self.original_image = cv2.imread(image_path)self.processed_image = self.original_image.copy()self.display_image(self.original_image, self.original_label)def display_image(self, img, label):# 将 OpenCV BGR 图像转换为 RGB 图像rgb_image = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)# 获取图像的尺寸h, w, ch = rgb_image.shapebytes_per_line = ch * w# 将 OpenCV 图像转换为 QImageqimg = QImage(rgb_image.data, w, h, bytes_per_line, QImage.Format_RGB888)# 将 QImage 转换为 QPixmappixmap = QPixmap.fromImage(qimg)# 将图像设置为 QLabellabel.setPixmap(pixmap.scaled(label.size(), Qt.KeepAspectRatio))def apply_grayscale(self):# 对图像应用灰度化处理if self.processed_image is not None:gray_image = cv2.cvtColor(self.processed_image, cv2.COLOR_BGR2GRAY)# 将单通道图像转回三通道以显示gray_3channel = cv2.cvtColor(gray_image, cv2.COLOR_GRAY2BGR)self.display_image(gray_3channel, self.processed_label)def apply_blur(self):# 对图像应用模糊处理if self.processed_image is not None:blurred_image = cv2.GaussianBlur(self.processed_image, (15, 15), 0)self.display_image(blurred_image, self.processed_label)def reset_image(self):# 恢复原始图像if self.original_image is not None:self.processed_image = self.original_image.copy()self.display_image(self.processed_image, self.processed_label)if __name__ == '__main__':app = QApplication(sys.argv)window = ImageProcessorApp()window.show()sys.exit(app.exec_())