diff --git a/README.md b/README.md
index 4f1200d..f31fe92 100644
--- a/README.md
+++ b/README.md
@@ -301,12 +301,12 @@ cmake --build build --target install
 ``` 
 
 #### Ubuntu 20.04
-Backwards compatibility with Focal Fossa is not fully tested, but building SIBR should still work by first invoking
+Backwards compatibility with Focal Fossa is not fully tested, but building SIBR should still invoking
 ```shell
 git checkout fossa_compatibility
 git submodule update --init
 ```
-and then continuing with the steps for Ubuntu 22.04.
+in ```SIBR_viewers``` and then continuing with the steps for Ubuntu 22.04.
 
 ### Navigation in SIBR Viewers
 The SIBR interface provides several methods of navigating the scene. By default, you will be started with an FPS navigator, which you can control with ```W, A, S, D, Q, E``` for camera translation and ```I, K, J, L, U, O``` for rotation. Alternatively, you may want to use a Trackball-style navigator (select from the floating menu). You can also snap to a camera from the data set with the ```Snap to``` button or find the closest camera with ```Snap to closest```. The floating menues also allow you to change the navigation speed. You can use the ```Scaling Modifier``` to control the size of the displayed Gaussians, or show the initial point cloud.
diff --git a/full_eval.py b/full_eval.py
index d174ef8..672ee12 100644
--- a/full_eval.py
+++ b/full_eval.py
@@ -12,7 +12,7 @@
 import os
 from argparse import ArgumentParser
 
-mipnerf360_outdoor_scenes = ["bicycle", "flowers", "garden", "stump", "treehill"]
+mipnerf360_outdoor_scenes = ["flowers", "garden", "stump", "treehill"]
 mipnerf360_indoor_scenes = ["room", "counter", "kitchen", "bonsai"]
 tanks_and_temples_scenes = ["truck", "train"]
 deep_blending_scenes = ["drjohnson", "playroom"]
@@ -37,7 +37,7 @@ if not args.skip_training or not args.skip_rendering:
     args = parser.parse_args()
 
 if not args.skip_training:
-    common_args = " --quiet --eval --test_iterations -1"
+    common_args = "  --eval --save_iterations -1"
     for scene in mipnerf360_outdoor_scenes:
         source = args.mipnerf360 + "/" + scene
         os.system("python train.py -s " + source + " -i images_4 -m " + args.output_path + "/" + scene + common_args)
diff --git a/scene/gaussian_model.py b/scene/gaussian_model.py
index 20a81d4..f50a4b2 100644
--- a/scene/gaussian_model.py
+++ b/scene/gaussian_model.py
@@ -84,7 +84,9 @@ class GaussianModel:
             self.active_sh_degree += 1
 
     def create_from_pcd(self, pcd : BasicPointCloud, spatial_lr_scale : float):
+        spatial_lr_scale = 5
         self.spatial_lr_scale = spatial_lr_scale
+        #print(spatial_lr_scale)
         fused_point_cloud = torch.tensor(np.asarray(pcd.points)).float().cuda()
         fused_color = RGB2SH(torch.tensor(np.asarray(pcd.colors)).float().cuda())
         features = torch.zeros((fused_color.shape[0], 3, (self.max_sh_degree + 1) ** 2)).float().cuda()