Nachbesserung Sorted_set

projectmood/sorted_set_facedetector.py

 import cv2
 import glob
-import time
 import logging
 
 faceDet = cv2.CascadeClassifier('Haarcascade/haarcascade_frontalface_default.xml')
@@ -15,9 +14,10 @@ logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(name)-12s %(level
 
 emotions = ["neutral", "anger", "disgust", "happy", "surprise"]  # Define emotions
 
-totalFiles:int = 0
-totalFaces:int = 0
-undetected:list = []
+totalFiles: int = 0
+totalFaces: int = 0
+undetected: list = []
+
 
 def detect_faces(emotion):
     files = glob.glob('Basis_data/sorted_set/%s/*' % emotion)  # Get list of all images with emotion
@@ -26,7 +26,7 @@ def detect_faces(emotion):
     global totalFaces
     global totalFiles
 
-    logging.debug("%d files in folder %s" % (len(files), emotion))
+    logging.debug("{} files in folder {}".format(len(files), emotion))
 
     fileNumber = 0
     for f in files:
@@ -57,7 +57,7 @@ def detect_faces(emotion):
 
         # Cut and save face
         for (x, y, w, h) in facefeatures:  # get coordinates and size of rectangle containing face
-            logging.debug("face found in file: %s" % f)
+            logging.debug("face found in file: {}".format(f))
             totalFaces += 1
             gray = gray[y:y + h, x:x + w]  # Cut the frame to size
 
@@ -67,7 +67,7 @@ def detect_faces(emotion):
             except:
                 pass  # If error, pass file
 
-        totalFiles += 1 # Increment image number
+        totalFiles += 1  # Increment image number
         fileNumber += 1
 
 
@@ -75,8 +75,7 @@ for emotion in emotions:
     detect_faces(emotion)  # Call functional
     logging.debug("\n")
 
-logging.debug(str(totalFaces) + " Gesichter in " + str(totalFiles) + " Dateien gefunden.\n")
-
+logging.debug("{} Gesichter in {} Dateien gefunden.".format(totalFaces, totalFiles))
 logging.debug("Kein Gesicht wurde gefunden in:")
 for f in undetected:
-    logging.debug(f)
\ No newline at end of file
+    logging.debug(f)