fix(transforms): parametrize pybsm darkCurrentFromDensity call

pyproject.toml

@@ -32,7 +32,8 @@ dependencies = [
     "nrtk>=0.4.2",
     "numpy",
     "Pillow",
-    "pybsm<=0.5",
+    "packaging",
+    "pybsm",
     "scikit-learn==1.5.1",
     "smqtk_image_io",
     "tabulate",

src/nrtk_explorer/library/nrtk_transforms.py

@@ -2,6 +2,7 @@
 
 import numpy as np
 import logging
+from packaging.version import Version
 from PIL import Image as ImageModule
 from PIL.Image import Image
 from nrtk_explorer.library.transforms import ImageTransform, ParameterDescription
@@ -12,7 +13,13 @@
 logger.setLevel(logging.INFO)
 
 try:
-    from pybsm.otf import darkCurrentFromDensity
+    import pybsm
+
+    if Version(pybsm.__version__) < Version("0.5"):
+        import pybsm.otf.darkCurrentFromDensity as dark_current_from_density
+    else:
+        import pybsm.otf.dark_current_from_density as dark_current_from_density
+
     from nrtk.impls.perturb_image.generic.cv2.blur import GaussianBlurPerturber
     from nrtk.impls.perturb_image.pybsm.perturber import PybsmPerturber, PybsmSensor, PybsmScenario
 except ImportError:
@@ -99,7 +106,7 @@ def createSampleSensorAndScenario():
     intTime = 30.0e-3
 
     # dark current density of 1 nA/cm2 guess, guess mid range for a silicon camera
-    darkCurrent = darkCurrentFromDensity(1e-5, wx, wy)
+    darkCurrent = dark_current_from_density(1e-5, wx, wy)
 
     # rms read noise (rms electrons)
     readNoise = 25.0