image = Image.open(self.img_path +str(self.images[img_id])[2:-1]).convert('RGB')

This line of code uses the PIL (Python Imaging Library) module to open an image file located at `self.img_path + str(self.images[img_id])[2:-1]`. The `str(self.images[img_id])[2:-1]` part takes the image ID from `self.images` (which is likely a list or array of image IDs) and converts it to a string, then removes the first two and last characters. This is likely done to remove any unwanted characters that may be included in the image ID.

The `.convert('RGB')` method call converts the image to the RGB color space, which is the standard color space used in digital images.

相关问题

--------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[31], line 8 6 print('sample:',x.shape,y.shape) 7 if __name__ == '__main__': ----> 8 main() Cell In[31], line 5, in main() 2 viz= visdom.Visdom() 4 db = Pokemon('pokemon',224,'train') #因为在当前文件夹下只需要文件名 ----> 5 x,y = next(iter(db)) 6 print('sample:',x.shape,y.shape) Cell In[30], line 87, in Pokemon.__getitem__(self, idx) 76 img, label = self.images[idx], self.labels[idx] 77 tf = transforms.Compose([ 78 lambda x:Image.open(img).convert('RGB'), #string path=>image data 79 transforms.Resize((self.resize,self.resize)), (...) 85 """ 86 ]) ---> 87 img = tf(img) 88 label = torch.tensor(label) 89 return img,label File D:\Anaconda\envs\gpu_pytorch\lib\site-packages\torchvision\transforms\transforms.py:95, in Compose.__call__(self, img) 93 def __call__(self, img): 94 for t in self.transforms: ---> 95 img = t(img) 96 return img TypeError: 'str' object is not callable

这个错误是由于在你的代码中使用了一个字符串对象作为函数调用。具体而言，在你的代码的第87行，你尝试将一个字符串路径传递给`transforms.Compose`，但是它期望接收一个可调用的对象。

要解决这个问题，你需要确保你传递给`transforms.Compose`的是一个可调用的对象，而不是一个字符串。你可以使用`transforms.ToPILImage()`函数将路径转换为图像数据对象，然后再将其传递给`transforms.Compose`。以下是修改后的代码示例：

from PIL import Image
import torchvision.transforms as transforms

tf = transforms.Compose([
    transforms.ToPILImage(),
    lambda x: x.convert('RGB'),
    transforms.Resize((self.resize, self.resize)),
    # 其他转换操作
])

img = tf(img)

通过这样的修改，你应该能够解决这个错误并继续运行你的代码。