im.load() if im.readonly: im._copy() # make it writeable blend = 0 if mode is None: mode = im.mode if mode != im.mode: if mode == "RGBA" and im.mode == "RGB": blend = 1 else: msg = "mode mismatch" raise ValueError(msg) if mode == "P": self.palette = im.palette else: self.palette = None self._image = im self.im = im.im self.draw = Image.core.draw(self.im, blend) self.mode = mode if mode in ("I", "F"): self.ink = self.draw.draw_ink(1) else: self.ink = self.draw.draw_ink(-1) if mode in ("1", "P", "I", "F"): # FIXME: fix Fill2 to properly support matte for I+F images self.fontmode = "1" else: self.fontmode = "L" # aliasing is okay for other modes self.fill = False西边是这段代码的错误,应该怎么修改 File "F:\ana\anaconda3\envs\torch\lib\site-packages\PIL\ImageDraw.py", line 62, in __init__ im.load() AttributeError: 'numpy.ndarray' object has no attribute 'load'
时间: 2024-02-10 18:26:04 浏览: 32
根据代码的错误提示,'numpy.ndarray'对象没有'load'属性,所以你需要将im对象更改为一个PIL图像对象,而不是一个numpy数组对象。
你可以使用PIL库中的`Image.fromarray()`方法将numpy数组转换为PIL图像对象,然后再进行加载和操作。修改后的代码如下所示:
```python
from PIL import Image
# 将numpy数组转换为PIL图像对象
im = Image.fromarray(im)
im.load()
if im.readonly:
im._copy() # make it writeable
blend = 0
if mode is None:
mode = im.mode
if mode != im.mode:
if mode == "RGBA" and im.mode == "RGB":
blend = 1
else:
msg = "mode mismatch"
raise ValueError(msg)
if mode == "P":
self.palette = im.palette
else:
self.palette = None
self._image = im
self.im = im.im
self.draw = Image.core.draw(self.im, blend)
self.mode = mode
if mode in ("I", "F"):
self.ink = self.draw.draw_ink(1)
else:
self.ink = self.draw.draw_ink(-1)
if mode in ("1", "P", "I", "F"):
# FIXME: fix Fill2 to properly support matte for I+F images
self.fontmode = "1"
else:
self.fontmode = "L" # aliasing is okay for other modes
self.fill = False
```
这样,你就可以在加载numpy数组之前将其转换为PIL图像对象,然后在代码中继续使用它。