Pytorch中的Tensorboard与Transforms搭配使用

from PIL import Image
from torch.utils.tensorboard import SummaryWriter
from torchvision import transforms
import os

root_path = "D:\\data\\basic\\Image"
lable_path = "aligned"
img_dir = os.path.join(root_path, lable_path)
img_list = os.listdir(img_dir)
img_path = img_list[0]
# 加载img_path路径
img_path = os.path.join(img_dir, img_path)

# 将img以PIL格式打开
img = Image.open(img_path)

# 创建具体的SummaryWriter
writer = SummaryWriter("logs")

# 创建具体的ToTensor方法
to_tensor = transforms.ToTensor()

# 将img以PIL格式转化成Tensor格式
tensor_img = to_tensor(img)

# 使用writer.add_image方法
writer.add_image("tensor_img", tensor_img)

writer.close()