add print statement about >500 images, cleanup method configs

Author: kerrj

nerfstudio/configs/method_configs.py

@@ -97,7 +97,6 @@
             dataparser=NerfstudioDataParserConfig(),
             train_num_rays_per_batch=4096,
             eval_num_rays_per_batch=4096,
-            load_from_disk=True,
             use_parallel_dataloader=True,
         ),
         model=NerfactoModelConfig(
@@ -136,7 +135,6 @@
             dataparser=NerfstudioDataParserConfig(),
             train_num_rays_per_batch=8192,
             eval_num_rays_per_batch=4096,
-            load_from_disk=True,
             use_parallel_dataloader=True,
         ),
         model=NerfactoModelConfig(
@@ -608,7 +606,6 @@
         datamanager=FullImageDatamanagerConfig(
             dataparser=NerfstudioDataParserConfig(load_3D_points=True),
             cache_images_type="uint8",
-            cache_images="disk",
         ),
         model=SplatfactoModelConfig(),
     ),
@@ -664,10 +661,8 @@
     mixed_precision=False,
     pipeline=VanillaPipelineConfig(
         datamanager=FullImageDatamanagerConfig(
-            dataparser=NerfstudioDataParserConfig(load_3D_points=True, downscale_factor=1),
-            # dataparser=NerfstudioDataParserConfig(load_3D_points=True),
+            dataparser=NerfstudioDataParserConfig(load_3D_points=True),
             cache_images_type="uint8",
-            cache_images="disk",
         ),
         model=SplatfactoModelConfig(
             cull_alpha_thresh=0.005,

nerfstudio/data/datamanagers/full_images_datamanager.py

@@ -145,7 +145,7 @@ def __init__(
         self.eval_dataset = self.create_eval_dataset()
         if len(self.train_dataset) > 500 and self.config.cache_images == "gpu":
             CONSOLE.print(
-                "Train dataset has over 500 images, overriding cache_images to cpu",
+                "Train dataset has over 500 images, overriding cache_images to cpu. If you still get OOM errors or segfault, please consider seting cache_images to 'disk'",
                 style="bold yellow",
             )
             self.config.cache_images = "cpu"