torchvision fakedata example
torchvision supports various datasets and one of them is fakedata dataset. I was curious what this actually generated and here is an example
import torchvision, torch
torch.seed()
d = torchvision.datasets.FakeData(10, (3, 50,50), 4)
print(len(d))
print(d\[0\])
a = d\[0\]\[0\]
c = d\[0\]\[1\]
print(c)
a.save('test.png')
"""
output:
10
(<PIL.Image.Image image mode=RGB size=50x50 at 0x7F06F462F050>, tensor(2))
tensor(2)
"""
the result is just an random RGB noised image.