resize() got an unexpected keyword argument 'mode'
时间: 2023-10-03 15:01:58 浏览: 38
The error message suggests that there is an unexpected keyword argument 'mode' in a call to the 'resize' function. The 'resize' function is used to resize an image to a new size. The 'mode' argument controls the pixel format of the resized image. However, depending on the library or package you are using, the 'mode' argument may not exist or may have a different name.
To fix this error, you can try removing the 'mode' argument from the 'resize' function call, or check the documentation of the library or package you are using to see if the 'mode' argument is supported and what the correct name is.
相关问题
resize() got an unexpected keyword argument 'interpolation'
This error occurs when the `resize()` function is called with an unexpected keyword argument `interpolation`. The `resize()` function is used to resize an image to a specified width and height. It does not have an `interpolation` parameter.
To fix this error, remove the `interpolation` parameter from the `resize()` function call. If you need to specify the interpolation method, you can use the `interpolation` parameter of the `ImageOps.scale()` function instead. For example:
```
from PIL import Image, ImageOps
img = Image.open("image.jpg")
resized_img = ImageOps.scale(img, (300, 300), Image.BICUBIC)
```
Here, we use the `ImageOps.scale()` function to resize the image to 300x300 pixels using the bicubic interpolation method.
self.upsample = transforms.Resize(scale_factor=2) TypeError: __init__() got an unexpected keyword argument 'scale_factor'报错了
很抱歉,我之前给出的代码有误。在`torchvision.transforms.Resize()`函数中,确实没有`scale_factor`参数来设置上采样的比例。正确的方法是使用`size`参数来指定目标图像的大小。以下是修改后的代码:
```python
import torchvision.transforms as transforms
class YourClass:
def __init__(self):
# 创建上采样的转换
self.upsample = transforms.Resize((new_width, new_height))
def upsample_image(self, original_image):
# 上采样图像
upsampled_image = self.upsample(original_image)
# 返回上采样后的图像
return upsampled_image
```
在这个示例中,我们将`transforms.Resize()`函数的参数修改为`(new_width, new_height)`,其中`new_width`和`new_height`是你想要设置的目标图像的宽度和高度。然后,在类的方法`upsample_image()`中使用`self.upsample()`对原始图像进行上采样,并返回上采样后的图像。
请根据你的实际需求修改`new_width`和`new_height`的值,并确保已经加载了原始图像。
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