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-rw-r--r--models/rgb_part_net.py10
1 files changed, 5 insertions, 5 deletions
diff --git a/models/rgb_part_net.py b/models/rgb_part_net.py
index 2aa680c..bf52efe 100644
--- a/models/rgb_part_net.py
+++ b/models/rgb_part_net.py
@@ -101,7 +101,7 @@ class RGBPartNet(nn.Module):
i_a, i_c, i_p = None, None, None
if self.image_log_on:
- i_a = self._decode_appr_feature(f_a_, n, t, c, h, w, device)
+ i_a = self._decode_appr_feature(f_a_, n, t, device)
# Continue decoding canonical features
i_c = self.ae.decoder.trans_conv3(x_c)
i_c = torch.sigmoid(self.ae.decoder.trans_conv4(i_c))
@@ -115,14 +115,14 @@ class RGBPartNet(nn.Module):
x_p = self._decode_pose_feature(f_p_, n, t, c, h, w, device)
return (x_c, x_p), None, None
- def _decode_appr_feature(self, f_a_, n, t, c, h, w, device):
+ def _decode_appr_feature(self, f_a_, n, t, device):
# Decode appearance features
- x_a_ = self.ae.decoder(
- f_a_,
+ f_a = f_a_.view(n, t, -1)
+ x_a = self.ae.decoder(
+ f_a.mean(1),
torch.zeros((n * t, self.f_c_dim), device=device),
torch.zeros((n * t, self.f_p_dim), device=device)
)
- x_a = x_a_.view(n, t, c, h, w)
return x_a
def _decode_cano_feature(self, f_c_, n, t, device):