Fix Indentation Issues and Improve Code Readability in BCJA.py

BCJA.py

@@ -32,95 +32,83 @@
 # Face and facial feature module
 # 
 # ======================================================
-# 
-
 
 # Returns a 3 element array (used for internal functions only)
 def get_frontal_face_cascade():
-	return getcascades.frontal_face()
+    return getcascades.frontal_face()
 
 # Returns a 2 element array (used for internal functions only)
 def get_profile_face_cascade():
-	return getcascades.profile_face()
+    return getcascades.profile_face()
 
 def get_all_face_cascade():
-	facecascade = getcascades.frontal_face()
-	facecascade1 = getcascades.profile_face()
-	for i in range(len(facecascade1)):
-		facecascade.append(facecascade1[i])
-	return facecascade
+    facecascade = getcascades.frontal_face()
+    facecascade1 = getcascades.profile_face()
+    for i in range(len(facecascade1)):
+        facecascade.append(facecascade1[i])
+    return facecascade
 
 # Returns a 2 element array (used for internal functions only)
 def get_facial_landmarks():
-	return getcascades.facial_landmarks()
+    return getcascades.facial_landmarks()
 
 # Takes input from webcam and detects a single frontal face out of many
 def get_webcam_frontal_face_single():
-	facecascade = get_frontal_face_cascade()
-	fdetect.webcam_face_detect_single(facecascade)
+    facecascade = get_frontal_face_cascade()
+    fdetect.webcam_face_detect_single(facecascade)
 
 # Takes input from webcam and detects all frontal faces
 def get_webcam_frontal_face():
-	facecascade = get_frontal_face_cascade()
-	fdetect.webcam_face_detect(facecascade)
+    facecascade = get_frontal_face_cascade()
+    fdetect.webcam_face_detect(facecascade)
 
 # Takes input from webcam and detects a single profile face out of many
 def get_webcam_profile_face_single():
-	facecascade = get_profile_face_cascade()
-	fdetect.webcam_face_detect_single(facecascade)
+    facecascade = get_profile_face_cascade()
+    fdetect.webcam_face_detect_single(facecascade)
 
 # Takes input from webcam and detects all profile faces
 def get_webcam_profile_face():
-	facecascade = get_profile_face_cascade()
-	fdetect.webcam_face_detect(facecascade)
+    facecascade = get_profile_face_cascade()
+    fdetect.webcam_face_detect(facecascade)
 
 # Takes input from webcam and detects single face of all kinds
 def get_webcam_face_single():
-	facecascade = get_all_face_cascade()
-	fdetect.webcam_face_detect_single(facecascade)
+    facecascade = get_all_face_cascade()
+    fdetect.webcam_face_detect_single(facecascade)
 
 # Takes input from webcam and detects all face of all kinds
 def get_webcam_face():
-	facecascade = get_all_face_cascade()
-	fdetect.webcam_face_detect_single(facecascade)
+    facecascade = get_all_face_cascade()
+    fdetect.webcam_face_detect(facecascade)
 
 # Takes input from webcam and detects a single face of any kind with template matching boost
 def get_webcam_face_template():
-	facecascade = get_all_face_cascade()
-	fdetect.webcam_face_detect_template_matching(facecascade)
-
-
+    facecascade = get_all_face_cascade()
+    fdetect.webcam_face_detect_template_matching(facecascade)
 
 # ======================================================
 # 
 # Scene change module
 # 
 # ======================================================
-# 
 def scene_change(video_capture):
-	scenes.scene_change(video_capture)
-
+    scenes.scene_change(video_capture)
 
 # ======================================================
 # 
 # Gaze direction module
 # 
 # ======================================================
-# 
-#
 def gaze_direction(video_capture):
-	predictor = getcascades.facial_landmarks()
-	gaze.detect_gaze_direction(video_capture,predictor)
-
-
+    predictor = getcascades.facial_landmarks()
+    gaze.detect_gaze_direction(video_capture, predictor)
 
 # ======================================================
 # 
 # Head pose and context module
 # 
 # ======================================================
-# 
-
 def head_pose(video_capture):
-	predictor = getcascades.facial_landmarks()
-	head.face_pose(video_capture,predictor)
+    predictor = getcascades.facial_landmarks()
+    head.face_pose(video_capture, predictor)