Better norm factor for Perlin

2023-06-13 10:17:30 +02:00 · 2023-06-13 10:17:30 +02:00 · afda96a873
commit afda96a873
parent 47815f8a5f
1 changed files with 1 additions and 1 deletions
--- a/priorConditionedAnnealing/noise.py
+++ b/priorConditionedAnnealing/noise.py
@ -96,7 +96,7 @@ class Perlin_Noise():
        self.octaves = octaves
        self.magic = 3.141592653589  # Axis offset, should be (kinda) irrational
        # We want to genrate samples, that approx ~N(0,1)
-        self.normal_factor = 0.0471
+        self.normal_factor = 14/99
        self.reset()

    def __call__(self, shape):