Spaces:
Runtime error
Runtime error
File size: 1,151 Bytes
b4346be |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 |
import warnings
import torch
import torch.nn as nn
import torch.nn.functional as F
class Model(nn.Module):
"""Model with same padding
Conv5 uses a large filter size to aggregate the features from the whole box"""
def __init__(self):
super(Model, self).__init__()
self.conv1 = nn.Conv3d(8, 32, 3, padding="same")
self.conv2 = nn.Conv3d(32, 64, 3, padding="same")
self.conv3 = nn.Conv3d(64, 80, 3, padding="same")
self.conv4 = nn.Conv3d(80, 20, 3, padding="same")
self.conv5 = nn.Conv3d(20, 20, 20, padding="same")
self.conv6 = nn.Conv3d(20, 16, 3, padding="same")
self.conv7 = nn.Conv3d(16, 1, 3, padding="same")
self.dropout1 = nn.Dropout(0.2)
def forward(self, x):
x = self.conv1(x)
x = F.relu(x)
x = self.conv2(x)
x = F.relu(x)
x = self.conv3(x)
x = F.relu(x)
x = self.conv4(x)
x = F.relu(x)
x = self.conv5(x)
x = F.relu(x)
x = self.dropout1(x)
x = self.conv6(x)
x = F.relu(x)
x = self.conv7(x)
x = torch.sigmoid(x)
return x
|