比如现有图片大小为32*32,通过Resize函数是如何放大到64*64的
时间: 2024-09-26 12:03:25 浏览: 81
当你有一个当前大小为32 * 32像素的图片,想要通过`torchvision.transforms.Resize`将其放大到64 * 64像素时,你需要确保在调用`Resize`函数时传入的目标尺寸是64。如果你希望保持原来的长宽比并按比例放大,你应该传递一个包含两个值的元组,比如`(64, 64)`,这样函数会尝试将图片的长度和宽度都增加到64像素,不会拉伸图片导致失真。
例如:
```python
import torchvision.transforms as T
# 如果原图是PIL Image对象
transform = T.Resize((64, 64))
resized_image = transform(original_32x32_image)
# 或者如果是numpy数组或其他支持resize操作的数据结构
from PIL import Image
new_size = (64, 64)
image_resized = original_32x32_image.resize(new_size, resample=Image.LANCZOS)
```
在这个过程中,`resample` 参数可以控制插值方法,LANCZOS是一种高质量的插值方法,适合细节丰富的图像。注意,如果原图不是正方形且放大后的尺寸导致某个方向超过了64像素,可能会出现部分裁剪的情况,这取决于你的需求是否接受这种效果。
阅读全文
相关推荐


















