API: remove hard-coded thresholds
@@ -22,8 +22,6 @@ import numpy as np
class HCIPostProcAlgo(BaseEstimator):
""" Base HCI post-processing algorithm class.
"""
- THRESHOLDS_5 = [0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5]
- THRESHOLDS_1 = np.linspace(0.1, 0.99, 10).tolist()
def print_parameters(self):
""" Printing out the parameters of the algorithm.
"""
@@ -167,8 +165,6 @@ class HCIMedianSub(HCIPostProcAlgo):
if verbose:
self.print_parameters()
- self.thresholds = self.THRESHOLDS_5 # [0.5 - 5], for SNR maps
-
def run(self, dataset=None, full_output=False, nproc=1, verbose=True):
""" Running the HCI median subtraction algorithm for model PSF
subtraction.
