Tools of CV(Computer Vision)
Project description
Usage Sample ''''''''''''
.. code:: python
import torch
from torch import nn
from cvx2 import WidthBlock
model = nn.Sequential(
WidthBlock(c1=1, c2=32),
nn.MaxPool2d(kernel_size=2, stride=2),
WidthBlock(c1=32, c2=64),
nn.MaxPool2d(kernel_size=2, stride=2),
nn.Flatten(),
nn.Linear(in_features=64*49, out_features=1024),
nn.Dropout(0.2),
nn.SiLU(inplace=True),
nn.Linear(in_features=1024, out_features=2),
)
img = torch.randn(1, 1, 28, 28)
print(model(img).shape)
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