亚马逊云服务器收费标准搜索引擎优化的概念

from PIL import Image
import numpy as np# 输入输出路径
input_image_path = './cc-logo.png'
output_image_path = './logo.png'# 设置输出图片的尺寸 (宽度, 高度)
output_size = (246, 184)# 定义白色容忍度，调整这个值可以控制去白的程度
tolerance = 150# 打开输入图片并确保其为RGBA模式
try:image = Image.open(input_image_path).convert("RGBA")
except FileNotFoundError:print(f"错误: 文件 {input_image_path} 未找到，请检查路径是否正确。")exit(1)
except Exception as e:print(f"错误: 无法打开图片文件 {input_image_path}。详细信息: {e}")exit(1)# 将接近白色的背景变为透明
def make_white_transparent(img, tolerance):datas = img.getdata()new_data = []for item in datas:if all([item[i] > 255 - tolerance for i in range(3)]):new_data.append((255, 255, 255, 0))else:new_data.append(item)img.putdata(new_data)return img# 初始转换
image = make_white_transparent(image, tolerance)# 使用放大再缩小的方式来平滑边缘
smooth_factor = 18  # 放大倍数
image = image.resize((image.size[0]*smooth_factor, image.size[1]*smooth_factor), Image.Resampling.LANCZOS)# 转换回目标大小
original_width, original_height = image.size
target_width, target_height = output_size
ratio = min(target_width / original_width, target_height / original_height)
new_width = int(original_width * ratio)
new_height = int(original_height * ratio)
resized_image = image.resize((new_width, new_height), Image.Resampling.LANCZOS)# 创建一个新的透明图片作为背景
new_image = Image.new("RGBA", output_size, (0, 0, 0, 0))# 计算粘贴位置以居中
paste_x = (output_size[0] - new_width) // 2
paste_y = (output_size[1] - new_height) // 2# 将调整大小后的图片粘贴到透明背景上
new_image.paste(resized_image, (paste_x, paste_y), resized_image)# 保存输出图片
try:new_image.save(output_image_path, format="PNG")print(f"成功: 图片已保存到 {output_image_path}")
except Exception as e:print(f"错误: 无法保存图片到 {output_image_path}。详细信息: {e}")