pyqt和opencv结合01：读取图像、显示

news2024/11/17 1:43:00

在这里插入图片描述

1 、opencv读取图像用于pyqt显示

# image = cv2.imread(file_path)
   image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
      # 将图像转换为 Qt 可接受的格式
   height, width, channel = image.shape
   bytes_per_line = 3 * width

   q_image = QImage(image.data, width, height, bytes_per_line, QImage.Format_RGB888)
   pixmap = QPixmap.fromImage(q_image)
   self.image_label.setPixmap(pixmap)
   self.image_label.setScaledContents(True)

2、 opencv读取不了中文路径报错解决方式

def read_chinese(file):
    image_numpy_data = cv2.imdecode(np.fromfile(file, dtype=np.uint8), -1)
    #返回numpy的ndarray
    return image_numpy_data

3 、pyqt中label默认不显示如何设置成显示

self.image_label.setStyleSheet("border: 5px solid red;")

4、pyqt中label默认文字位于左侧如何设置成居中显示

from PyQt5.QtCore import Qt
self.image_label.setAlignment(Qt.AlignCenter)

5、pyqt中label默认显示图像大小会裁剪如何设置成自适应

    self.image_label.setScaledContents(True)

6、pyqt中打开文件对话框选择文件

file_path, _ = QFileDialog.getOpenFileName(self, "Open Image File", "", "Image files (*.jpg *.png)")

以下是完整的代码：

import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QLabel, QPushButton, QVBoxLayout, QWidget, QFileDialog
from PyQt5.QtGui import QPixmap, QImage
import cv2
import numpy as np

from PyQt5.QtCore import Qt


def read_chinese(file):
    image_numpy_data = cv2.imdecode(np.fromfile(file, dtype=np.uint8), -1)
    #返回numpy的ndarray
    return image_numpy_data

class ImageReaderApp(QMainWindow):
    def __init__(self):
        super().__init__()

        self.setWindowTitle("Image Reader")
        self.setGeometry(100, 100, 400, 300)
        self.setMinimumSize(400, 300)  # 设置最小尺寸
        self.central_widget = QWidget()
        self.setCentralWidget(self.central_widget)

        self.layout = QVBoxLayout()
        self.central_widget.setLayout(self.layout)

        self.image_label = QLabel()
        self.image_label.setText("图片展示区")
        self.image_label.setAlignment(Qt.AlignCenter)
        self.image_label.setStyleSheet("border: 5px solid red;")
        self.layout.addWidget(self.image_label)

        self.select_button = QPushButton("Select Image")
        self.select_button.clicked.connect(self.select_image)
        self.layout.addWidget(self.select_button)


    def select_image(self):
        file_path, _ = QFileDialog.getOpenFileName(self, "Open Image File", "", "Image files (*.jpg *.png)")
        if file_path:
            # 使用 OpenCV 读取图像FD
            # image = cv2.imread(file_path)
            # 将图像从 BGR 格式转换为 RGB 格式
            image = read_chinese(file_path)

            image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
            # 将图像转换为 Qt 可接受的格式
            height, width, channel = image.shape
            bytes_per_line = 3 * width

            q_image = QImage(image.data, width, height, bytes_per_line, QImage.Format_RGB888)
            pixmap = QPixmap.fromImage(q_image)
            self.image_label.setPixmap(pixmap)
            self.image_label.setScaledContents(True)


if __name__ == "__main__":
    app = QApplication(sys.argv)
    window = ImageReaderApp()
    window.show()
    sys.exit(app.exec_())