cleanup

Author: pxl-th

examples/simple_trainer.py

@@ -52,12 +52,11 @@ class Config:
     render_traj_path: str = "interp"
 
     # Path to the Mip-NeRF 360 dataset
-    # data_dir: str = "data/360_v2/garden"
-    data_dir: str = "/home/pxlth/Videos/gs-videos/pidhaytsi/entrance-1"
+    data_dir: str = "data/360_v2/garden"
     # Downsample factor for the dataset
-    data_factor: int = 2
+    data_factor: int = 4
     # Directory to save results
-    result_dir: str = "results/pidhaytsi-entrance-1"
+    result_dir: str = "results/garden"
     # Every N images there is a test image
     test_every: int = 8
     # Random crop size for training  (experimental)

examples/simple_trainer_2dgs.py

@@ -43,13 +43,11 @@ class Config:
     ckpt: Optional[str] = None
 
     # Path to the Mip-NeRF 360 dataset
-    # data_dir: str = "data/360_v2/garden"
-    data_dir: str = "/home/pxlth/Videos/gs-videos/pidhaytsi/entrance-1"
+    data_dir: str = "data/360_v2/garden"
     # Downsample factor for the dataset
-    data_factor: int = 2
+    data_factor: int = 4
     # Directory to save results
-    # result_dir: str = "results/garden"
-    result_dir: str = "results/pidhaytsi-entrance-1"
+    result_dir: str = "results/garden"
     # Every N images there is a test image
     test_every: int = 8
     # Random crop size for training  (experimental)