P10_UserfulTransform.py

# p12~13 常见的transform使用

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


writer = SummaryWriter("logs")
img = Image.open("Image/cat2.jpg")
print(img)

# tensor使用
trans_totensor = transforms.ToTensor()
img_tensor = trans_totensor(img)
writer.add_image("ToTensor", img_tensor)

# normalize
print(img_tensor[0][0][0])
trans_form = transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])
img_norm = trans_form(img_tensor)
print(img_norm[0][0][0])
writer.add_image("Normalize", img_norm, 1)

# resize
print(img.size)
trans_resize = transforms.Resize((512, 512))
# img PIL -> resize -> img_resize PIL
img_resize = trans_resize(img)
# img_resize PIL -> to tensor -> img_resize tensor
img_resize = trans_totensor(img_resize)
writer.add_image("Resize", img_resize, 0)
print(img_resize)

# Compose - resize -2
trans_resize_2 = transforms.Resize(512)
trans_compose = transforms.Compose([trans_resize_2, trans_totensor])
img_resize_2 = trans_compose(img)
writer.add_image("Resize", img_resize_2, 1)


writer.close()