Python uses various libraries to batch browse and display image windows

Table of contents

1. Explanation:

2. Example of use:

3. Matters needing attention:

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1. Explanation:

In Python, we can use various libraries to batch browse and display image windows. These libraries include but are not limited to OpenCV, PIL (Python Imaging Library), matplotlib, etc. These libraries help us to read, process and display images.

2. Example of use:

Here we take OpenCV as an example to show how to browse and display image windows in batches.

First, we need to install the OpenCV library, which can be installed using pip:

pip install opencv-python

We can then use the following code to batch read and display images:
 

import cv2
import os

# 获取文件夹中的所有图片文件
def get_images_from_folder(folder):
    images = []
    for filename in os.listdir(folder):
        if filename.endswith(".jpg") or filename.endswith(".png"):
            images.append(os.path.join(folder, filename))
    return images

# 读取并显示图像
def display_images(images):
    for image in images:
        img = cv2.imread(image)
        cv2.imshow('Image', img)
        cv2.waitKey(0)
    cv2.destroyAllWindows()

folder = 'path_to_your_folder'  # 替换为你的文件夹路径
images = get_images_from_folder(folder)
display_images(images)

 

3. Matters needing attention:

- When using OpenCV to display images, you need to ensure that the corresponding video driver has been installed, otherwise the images may not be displayed normally.
- When reading an image file, you need to ensure that the file path is correct, otherwise an exception may be thrown.
- When displaying a large number of images, large memory and computing resources may be required, so attention should be paid to the performance of the computer.