added sift to logger output

src/helpers/sift.py

@@ -0,0 +1,20 @@
+import numpy as np
+import cv2
+
+def getSiftData(img):
+    sift = cv2.SIFT.create(enable_precise_upscale = True)
+    kp = sift.detect(img, None)
+
+    magnitudes = [keypoint.size for keypoint in kp]
+    tot_mag = np.sum(magnitudes)
+    max_mag = np.amax(magnitudes)
+    avg_mag = np.sum(magnitudes)/len(kp) #TODO: Uhm, why not np.mean??
+    std_mag = np.std(magnitudes)
+    counts = len(kp)
+    
+    responses = [keypoint.response for keypoint in kp]
+    tot_rep = np.sum(responses)
+    avg_rep = np.mean(responses)
+
+    return (tot_mag, max_mag, avg_mag, std_mag, counts, 
+            tot_rep, avg_rep)

src/suite.py

@@ -17,6 +17,7 @@ import matplotlib.pyplot as plt
 from helpers.statistics import imgStats
 from helpers.logger import CVSuiteLogger, C_DBUG
 from helpers.canvas import CVSuiteCanvas
+from helpers.sift import getSiftData
 
 ## UI config load
 PROJECT_PATH = pathlib.Path(__file__).parent
@@ -395,6 +396,16 @@ class CVSuite:
             if not part_update:
                 self.drawCannyHM(img, 1, 1)
 
+            # SIFT
+            siftData = getSiftData(img)
+            self.log.add("SIFT total magnitude", siftData[0])
+            self.log.add("SIFT maximum magnitude", siftData[1])
+            self.log.add("SIFT average magnitude", siftData[2])
+            self.log.add("SIFT std magnitude", siftData[3])
+            self.log.add("SIFT counts", siftData[4])
+            self.log.add("SIFT total response", siftData[5])
+            self.log.add("SIFT average response", siftData[6])
+
             # Write results to CSV file
             if not part_update:
                 self.log.update()