Adding support for inverse sigmoid interpolation

This commit is contained in:
Bernard Maltais
2022-09-28 08:52:46 -04:00
parent c3bcc7e9fc
commit fe2f0e1729
2 changed files with 8 additions and 1 deletions

View File

@@ -150,6 +150,12 @@ def run_modelmerger(primary_model_name, secondary_model_name, interp_method, int
alpha = alpha * alpha * (3 - (2 * alpha))
return theta0 + ((theta1 - theta0) * alpha)
# Inverse Smoothstep (https://en.wikipedia.org/wiki/Smoothstep)
def inv_sigmoid(theta0, theta1, alpha):
import math
alpha = 0.5 - math.sin(math.asin(1.0 - 2.0 * alpha) / 3.0)
return theta0 + ((theta1 - theta0) * alpha)
if os.path.exists(primary_model_name):
primary_model_filename = primary_model_name
primary_model_name = os.path.splitext(os.path.basename(primary_model_name))[0]
@@ -174,6 +180,7 @@ def run_modelmerger(primary_model_name, secondary_model_name, interp_method, int
theta_funcs = {
"Weighted Sum": weighted_sum,
"Sigmoid": sigmoid,
"Inverse Sigmoid": inv_sigmoid
}
theta_func = theta_funcs[interp_method]