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-rw-r--r--models/rgb_part_net.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/models/rgb_part_net.py b/models/rgb_part_net.py
index 4d7ba7f..310ef25 100644
--- a/models/rgb_part_net.py
+++ b/models/rgb_part_net.py
@@ -81,7 +81,7 @@ class RGBPartNet(nn.Module):
((f_a_, f_c_, f_p_), losses) = self.ae(x_c1_t2, x_c1_t1, x_c2_t2)
# Decode features
x_c = self._decode_cano_feature(f_c_, n, t, device)
- x_p_ = self._decode_pose_feature(f_p_, n, t, c, h, w, device)
+ x_p_ = self._decode_pose_feature(f_p_, n, t, device)
x_p = x_p_.view(n, t, self.pn_in_channels, self.h // 4, self.w // 4)
i_a, i_c, i_p = None, None, None
@@ -100,7 +100,7 @@ class RGBPartNet(nn.Module):
else: # evaluating
f_c_, f_p_ = self.ae(x_c1_t2)
x_c = self._decode_cano_feature(f_c_, n, t, device)
- x_p_ = self._decode_pose_feature(f_p_, n, t, c, h, w, device)
+ x_p_ = self._decode_pose_feature(f_p_, n, t, device)
x_p = x_p_.view(n, t, self.pn_in_channels, self.h // 4, self.w // 4)
return (x_c, x_p), None, None
@@ -125,7 +125,7 @@ class RGBPartNet(nn.Module):
)
return x_c
- def _decode_pose_feature(self, f_p_, n, t, c, h, w, device):
+ def _decode_pose_feature(self, f_p_, n, t, device):
# Decode pose features to images
x_p_ = self.ae.decoder(
torch.zeros((n * t, self.f_a_dim), device=device),