Fix incorrect gaussian_noise default values in training profiles

The training profile YAML files had legacy values (mean=5.0, std=1.0) from
old TensorFlow-based SLEAP. The sleap-nn augmentation code expects values
on a 0-1 normalized scale and multiplies by 255 internally. The old values
would result in completely washed-out images if gaussian noise was enabled.

Updated all 9 training profiles to use correct normalized values:
- gaussian_noise_mean: 0.0 (was 5.0)
- gaussian_noise_std: 0.02 (was 1.0)

Fixes #2643

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

Author: gitttt-1234

sleap/training_profiles/baseline.centroid.yaml

@@ -23,8 +23,8 @@ data_config:
       uniform_noise_min: 0.0
       uniform_noise_max: 1.0
       uniform_noise_p: 0.0
-      gaussian_noise_mean: 5.0
-      gaussian_noise_std: 1.0
+      gaussian_noise_mean: 0.0
+      gaussian_noise_std: 0.02
       gaussian_noise_p: 0.0
       contrast_min: 0.5
       contrast_max: 2.0

sleap/training_profiles/baseline.multi_class_bottomup.yaml

@@ -23,8 +23,8 @@ data_config:
       uniform_noise_min: 0.0
       uniform_noise_max: 1.0
       uniform_noise_p: 0.0
-      gaussian_noise_mean: 5.0
-      gaussian_noise_std: 1.0
+      gaussian_noise_mean: 0.0
+      gaussian_noise_std: 0.02
       gaussian_noise_p: 0.0
       contrast_min: 0.9
       contrast_max: 1.1

sleap/training_profiles/baseline.multi_class_topdown.yaml

@@ -23,8 +23,8 @@ data_config:
       uniform_noise_min: 0.0
       uniform_noise_max: 1.0
       uniform_noise_p: 0.0
-      gaussian_noise_mean: 5.0
-      gaussian_noise_std: 1.0
+      gaussian_noise_mean: 0.0
+      gaussian_noise_std: 0.02
       gaussian_noise_p: 0.0
       contrast_min: 0.9
       contrast_max: 1.1

sleap/training_profiles/baseline_large_rf.bottomup.yaml

@@ -23,8 +23,8 @@ data_config:
       uniform_noise_min: 0.0
       uniform_noise_max: 1.0
       uniform_noise_p: 0.0
-      gaussian_noise_mean: 5.0
-      gaussian_noise_std: 1.0
+      gaussian_noise_mean: 0.0
+      gaussian_noise_std: 0.02
       gaussian_noise_p: 0.0
       contrast_min: 0.5
       contrast_max: 2.0

sleap/training_profiles/baseline_large_rf.single.yaml

@@ -23,8 +23,8 @@ data_config:
       uniform_noise_min: 0.0
       uniform_noise_max: 1.0
       uniform_noise_p: 0.0
-      gaussian_noise_mean: 5.0
-      gaussian_noise_std: 1.0
+      gaussian_noise_mean: 0.0
+      gaussian_noise_std: 0.02
       gaussian_noise_p: 0.0
       contrast_min: 0.5
       contrast_max: 2.0

sleap/training_profiles/baseline_large_rf.topdown.yaml

@@ -23,8 +23,8 @@ data_config:
       uniform_noise_min: 0.0
       uniform_noise_max: 1.0
       uniform_noise_p: 0.0
-      gaussian_noise_mean: 5.0
-      gaussian_noise_std: 1.0
+      gaussian_noise_mean: 0.0
+      gaussian_noise_std: 0.02
       gaussian_noise_p: 0.0
       contrast_min: 0.5
       contrast_max: 2.0

sleap/training_profiles/baseline_medium_rf.bottomup.yaml

@@ -23,8 +23,8 @@ data_config:
       uniform_noise_min: 0.0
       uniform_noise_max: 1.0
       uniform_noise_p: 0.0
-      gaussian_noise_mean: 5.0
-      gaussian_noise_std: 1.0
+      gaussian_noise_mean: 0.0
+      gaussian_noise_std: 0.02
       gaussian_noise_p: 0.0
       contrast_min: 0.5
       contrast_max: 2.0

sleap/training_profiles/baseline_medium_rf.single.yaml

@@ -23,8 +23,8 @@ data_config:
       uniform_noise_min: 0.0
       uniform_noise_max: 1.0
       uniform_noise_p: 0.0
-      gaussian_noise_mean: 5.0
-      gaussian_noise_std: 1.0
+      gaussian_noise_mean: 0.0
+      gaussian_noise_std: 0.02
       gaussian_noise_p: 0.0
       contrast_min: 0.5
       contrast_max: 2.0

sleap/training_profiles/baseline_medium_rf.topdown.yaml

@@ -23,8 +23,8 @@ data_config:
       uniform_noise_min: 0.0
       uniform_noise_max: 1.0
       uniform_noise_p: 0.0
-      gaussian_noise_mean: 5.0
-      gaussian_noise_std: 1.0
+      gaussian_noise_mean: 0.0
+      gaussian_noise_std: 0.02
       gaussian_noise_p: 0.0
       contrast_min: 0.5
       contrast_max: 2.0