Reduce remesh iterations in generate3d function from 10 to 7 for optimized mesh generation

inference.py

@@ -70,7 +70,7 @@ def generate3d(model, rgb, ccm, device):
     verts, faces = clean_mesh(
         data_config['verts'].squeeze().cpu().numpy().astype(np.float32),
         data_config['faces'].squeeze().cpu().numpy().astype(np.int32),
-        repair=False, remesh=True, remesh_size=0.01, remesh_iters=10
+        repair=False, remesh=True, remesh_size=0.01, remesh_iters=7
     )
     data_config['verts'] = torch.from_numpy(verts).to(device).contiguous()
     data_config['faces'] = torch.from_numpy(faces).to(device).contiguous()

model/archs/mlp_head.py

@@ -35,7 +35,6 @@ class RgbMlp(nn.Module):
         x = F.relu(self.fc1(input))
         x = F.relu(self.fc2(x))
         out = self.fc3(x)
-        out = torch.tanh(out)
 
         return out