diff --git a/.gitignore b/.gitignore
index 28afce358a..f7e1a29b51 100644
--- a/.gitignore
+++ b/.gitignore
@@ -190,4 +190,7 @@ camera_paths/
 
 # pixi environments
 .pixi
-/third_party
\ No newline at end of file
+/third_party
+
+# JetBrains IDEs
+.idea
diff --git a/nerfstudio/process_data/colmap_converter_to_nerfstudio_dataset.py b/nerfstudio/process_data/colmap_converter_to_nerfstudio_dataset.py
index 55f657a3a4..ac3480a29a 100644
--- a/nerfstudio/process_data/colmap_converter_to_nerfstudio_dataset.py
+++ b/nerfstudio/process_data/colmap_converter_to_nerfstudio_dataset.py
@@ -29,9 +29,9 @@
 class ColmapConverterToNerfstudioDataset(BaseConverterToNerfstudioDataset):
     """Base class to process images or video into a nerfstudio dataset using colmap"""
 
-    camera_type: Literal["perspective", "fisheye", "equirectangular", "pinhole", "simple_pinhole"] = "perspective"
+    camera_type: Literal["perspective", "fisheye", "equirectangular", "pinhole", "simple_pinhole"] = "simple_pinhole"
     """Camera model to use."""
-    matching_method: Literal["exhaustive", "sequential", "vocab_tree"] = "vocab_tree"
+    matching_method: Literal["exhaustive", "sequential", "vocab_tree"] = "exhaustive"
     """Feature matching method to use. Vocab tree is recommended for a balance of speed
     and accuracy. Exhaustive is slower but more accurate. Sequential is faster but
     should only be used for videos."""
diff --git a/nerfstudio/process_data/colmap_utils.py b/nerfstudio/process_data/colmap_utils.py
index 1d9405c81a..415d050cfa 100644
--- a/nerfstudio/process_data/colmap_utils.py
+++ b/nerfstudio/process_data/colmap_utils.py
@@ -126,7 +126,6 @@ def run_colmap(
         f"--image_path {image_dir}",
         "--ImageReader.single_camera 1",
         f"--ImageReader.camera_model {camera_model.value}",
-        f"--SiftExtraction.use_gpu {int(gpu)}",
     ]
     if camera_mask_path is not None:
         feature_extractor_cmd.append(f"--ImageReader.camera_mask_path {camera_mask_path}")
@@ -140,7 +139,6 @@ def run_colmap(
     feature_matcher_cmd = [
         f"{colmap_cmd} {matching_method}_matcher",
         f"--database_path {colmap_dir / 'database.db'}",
-        f"--SiftMatching.use_gpu {int(gpu)}",
     ]
     if matching_method == "vocab_tree":
         vocab_tree_filename = get_vocab_tree()