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image
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from datasets import load_dataset
from PIL import Image, ImageOps
def resize_and_pad(image, target_size=(512, 512)):
# 计算原始图像的宽高比
width, height = image.size
target_width, target_height = target_size
ratio = min(target_width / width, target_height / height)
# 等比例缩放图像
new_size = (int(width * ratio), int(height * ratio))
resized_image = image.resize(new_size)
# 创建一个新的黑色背景图像
new_image = Image.new("RGB", target_size, (0, 0, 0))
# 将缩放后的图像粘贴到新图像的中心
new_image.paste(resized_image, ((target_width - new_size[0]) // 2, (target_height - new_size[1]) // 2))
return new_image
# 加载数据集
ds = load_dataset("svjack/Prince_Star")
# 对数据集中的 image 列进行处理
def process_example(example):
example['image'] = resize_and_pad(example['image'])
return example
# 应用处理函数到整个数据集
ds = ds.map(process_example)
ds.push_to_hub("svjack/Prince_Star_512x512")
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