diff --git a/deepface/DeepFace.py b/deepface/DeepFace.py
index e2a6d93..bb0b283 100644
--- a/deepface/DeepFace.py
+++ b/deepface/DeepFace.py
@@ -254,7 +254,13 @@ def verify(img1_path, img2_path=''
 	threshold = functions.findThreshold(model_name, distance_metric)
 
 	#------------------------------
-	pbar = tqdm(range(0,len(img_list)), desc='Verification')
+	
+	if len(img_list) > 1:
+		disable_option = False
+	else: #calling deepface in a for loop causes lots of progress bars. this block prevents this problem.
+		disable_option = True
+	
+	pbar = tqdm(range(0,len(img_list)), desc='Verification', disable = disable_option)
 	
 	#for instance in img_list:
 	for index in pbar:
diff --git a/deepface/commons/realtime.py b/deepface/commons/realtime.py
index c0f7412..9540577 100644
--- a/deepface/commons/realtime.py
+++ b/deepface/commons/realtime.py
@@ -17,6 +17,8 @@ from deepface.commons import functions, realtime, distance as dst
 def analysis(db_path, model_name, distance_metric, enable_face_analysis = True):
 	
 	input_shape = (224, 224)
+	input_shape_x = input_shape[0]; input_shape_y = input_shape[1]
+	
 	text_color = (255,255,255)
 	
 	employees = []
@@ -30,6 +32,8 @@ def analysis(db_path, model_name, distance_metric, enable_face_analysis = True):
 					#print(exact_path)
 					employees.append(exact_path)
 					
+	if len(employees) == 0:
+		print("WARNING: There is no image in this path ( ", db_path,") . Face recognition will not be performed.")
 	
 	#------------------------