Small fixes and comments

BachelorThesis/Software/PyPrecisionGUI/localization.py

@@ -9,6 +9,7 @@ class Localization:
         #self.table = np.load('fingerprinting_tables/Julian_1cm_precision_corrected_antenas.npy')    # corrected table made by Ihm (No ferrite)
         #self.table = np.load('fingerprinting_tables/SmallManualFingerprint_Ferrite.npy') # manual fingerprinting table (Ferrite) [A bit off]
         #self.table = np.load('fingerprinting_tables/Julian_BThesis_table2_switchedAnt5&6 and 7&8.npy')    # Switched Ant5<->6 and 7<->8 in Excel (No Ferrite) [Does not work!]
+        self.table = np.load('fingerprinting_tables/Julian_THIS_ONE_IS_IT.npy') # 2cm precision this definetly worked for (No ferrite)
         self.data = np.load('recorded_data/current_recording.npy')
 
 
@@ -26,10 +27,10 @@ class Localization:
             Output: - position [type = np.array[3]]:
                         The estimated position of the object in this sample x,y,z
         """
-        print("fv =", fv)
+        #print("fv =", fv)
         feature_vector = fv * self.scale_factor
 
-        print("table=", self.table)
+
         repeated_feature_vector = np.square(self.table[:, 9:] - feature_vector)
 
         euclidean_distances = np.sum(repeated_feature_vector, 1)

BachelorThesis/Software/PyPrecisionGUI/main_script.py

@@ -165,11 +165,11 @@ plotting = Plotting()
 
 
 # Decide what scaling_factors and Recording
-#scale_factors = np.arange(0.001, 0.0035, 0.0005)
-scale_factors = [1]
+scale_factors = np.arange(0.001, 0.0035, 0.0005)
+#scale_factors = [1]
 localization.k_nearest = 15
 
-Recording = 5  # which ART Recording to pick
+Recording = 2  # which ART Recording to pick
 
 
 for sf in scale_factors: