(self, f4, prior_cam)
| 959 | self.out_s = nn.Conv2d(in_channels, 1, kernel_size=3, padding=1) |
| 960 | |
| 961 | def forward(self, f4, prior_cam): |
| 962 | prior_cam = F.interpolate(prior_cam, size=f4.size()[2:], mode='bilinear', align_corners=True) # 2,1,12,12->2,1,48,48 |
| 963 | r_prior_cam = 1 - torch.sigmoid(prior_cam) |
| 964 | prior_cam = torch.sigmoid(prior_cam) |
| 965 | f4_a = f4 * r_prior_cam.expand(-1, f4.size()[1], -1, -1) + f4 |
| 966 | f4_b = f4 * prior_cam.expand(-1, f4.size()[1], -1, -1) + f4 |
| 967 | f4_s = self.conv3x3(torch.cat([f4_a, f4_b], 1)) |
| 968 | p4_s = self.out_s(f4_s) |
| 969 | f4_e = self.crb(f4) |
| 970 | p4_e = self.out_e(f4_e) |
| 971 | |
| 972 | return f4_s, f4_e, p4_s, p4_e |
| 973 | |
| 974 | class Decoder_noRCAB(nn.Module): |
| 975 | def __init__(self, in_channels): |
nothing calls this directly
no outgoing calls
no test coverage detected