Bumped SIBR, documentation, always save at end

README.md

@@ -71,8 +71,13 @@ Our provided install method is based on Conda package and environment management
 conda env create --file environment.yml
 conda activate gaussian_splatting
 ```
+Note for Windows: if setup stops and you are prompted to set ```DISTUTILS_USE_SDK=1```, please complete the environment setup with:
+```shell
+SET DISTUTILS_USE_SDK=1
+conda env update --file environment.yml
+```
 
-Note that downloading packages and creating a new environment with Conda can require a significant amount of disk space. By default, Conda will use the main system hard drive. You can avoid this by specifying a different package download location and an environment on a different drive:
+Tip: Downloading packages and creating a new environment with Conda can require a significant amount of disk space. By default, Conda will use the main system hard drive. You can avoid this by specifying a different package download location and an environment on a different drive:
 
 ```shell
 conda config --add pkgs_dirs <Drive>/<pkg_path>

SIBR_viewers_windows

@@ -1 +1 @@
-Subproject commit eb1b8513ecc0cdb1dfbd9dae4e0fe64c9dcef2ab
+Subproject commit 0a1620ace38f1d26e685312a533cc95064902c15

train.py

@@ -180,6 +180,8 @@ if __name__ == "__main__":
     parser.add_argument("--save_iterations", nargs="+", type=int, default=[7_000, 30_000])
     parser.add_argument("--quiet", action="store_true")
     args = parser.parse_args(sys.argv[1:])
+    args.save_iterations.append(args.iterations)
+    
     print("Optimizing " + args.model_path)
 
     # Initialize system state (RNG)