基于python编写图片高斯模糊处理脚本

pip install Pillow

pip install Pillow -i https://pypi.tuna.tsinghua.edu.cn/simple

python gaussian_blur.py <输入图片> [输出图片] [选项]

python gaussian_blur.py photo.jpg

python gaussian_blur.py photo.jpg output.jpg

python gaussian_blur.py photo.jpg -o output.jpg

# 轻微模糊
python gaussian_blur.py photo.jpg -r 3

# 中等模糊（适合隐私遮挡）
python gaussian_blur.py photo.jpg -r 10

# 强模糊
python gaussian_blur.py photo.jpg -r 25

# 极强模糊
python gaussian_blur.py photo.jpg -r 50

python gaussian_blur.py /path/to/input.png -r 15 -o /path/to/output.png

# JPG 格式
python gaussian_blur.py image.jpg -r 5
# PNG 格式（保留透明度）
python gaussian_blur.py image.png -r 5
# 其他格式
python gaussian_blur.py image.bmp -r 5

#!/bin/bash
# 批量模糊当前目录下所有 JPG 图片
for file in *.jpg; do
    python gaussian_blur.py "$file" -r 10
done

# 批量模糊当前目录下所有 JPG 图片
Get-ChildItem *.jpg | ForEach-Object {
    python gaussian_blur.py $_.Name -r 10
}

import os
import subprocess

# 批量处理文件夹中的图片
input_dir = "./images"
output_dir = "./blurred"
radius = 10

os.makedirs(output_dir, exist_ok=True)

for filename in os.listdir(input_dir):
    if filename.lower().endswith(('.jpg', '.jpeg', '.png')):
        input_path = os.path.join(input_dir, filename)
        output_path = os.path.join(output_dir, filename)
        
        cmd = [
            'python', 'gaussian_blur.py',
            input_path, '-r', str(radius), '-o', output_path
        ]
        subprocess.run(cmd)

pip install Pillow

python gaussian_blur.py photo.jpg -r 5
if [ $? -eq 0 ]; then
    echo "处理成功"
else
    echo "处理失败"
fi

python gaussian_blur.py face.jpg -r 15

python gaussian_blur.py car.jpg -r 20

python gaussian_blur.py document.jpg -r 10