pyqt和opencv结合01：读取图像、显示

在这里插入图片描述

1 、opencv读取图像用于pyqt显示

python 复制代码

# 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

python 复制代码

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

python 复制代码

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

python 复制代码

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：

python 复制代码

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_())