diff --git a/deepface/commons/functions.py b/deepface/commons/functions.py
index 5a26ebb..92cb18e 100644
--- a/deepface/commons/functions.py
+++ b/deepface/commons/functions.py
@@ -38,9 +38,13 @@ def initialize_input(img1_path, img2_path = None):
 		img_list = img1_path.copy()
 	else:
 		bulkProcess = False
-		if img2_path != None:
+		
+		if (
+			(type(img2_path) == str and img2_path != None) #exact image path, base64 image
+			or (isinstance(img2_path, np.ndarray) and img2_path.any()) #numpy array
+		):
 			img_list = [[img1_path, img2_path]]
-		else:
+		else: #analyze function passes just img1_path
 			img_list = [img1_path]
 	
 	return img_list, bulkProcess
diff --git a/tests/unit_tests.py b/tests/unit_tests.py
index 3f1efa2..fcc50fc 100644
--- a/tests/unit_tests.py
+++ b/tests/unit_tests.py
@@ -104,11 +104,8 @@ print(resp_obj["instance_2"]["age"]," years old ", resp_obj["instance_2"]["domin
 print(resp_obj["instance_3"]["age"]," years old ", resp_obj["instance_3"]["dominant_emotion"], " ",resp_obj["instance_3"]["gender"])
 print(resp_obj["instance_4"]["age"]," years old ", resp_obj["instance_4"]["dominant_emotion"], " ",resp_obj["instance_4"]["gender"])
 
-
 print("-----------------------------------------")
 
-#-----------------------------------------
-
 print("Facial analysis test. Passing nothing as an action")
 
 img = "dataset/img4.jpg"
@@ -277,5 +274,34 @@ df = DeepFace.find("dataset/img1.jpg", db_path = "dataset", model_name = 'Ensemb
 
 print(df)
 
-#-----------------------------------
 print("--------------------------")
+
+import cv2
+
+print("Passing numpy array to analyze function")
+
+img = cv2.imread("dataset/img1.jpg")
+resp_obj = DeepFace.analyze(img)
+print(resp_obj)
+
+print("--------------------------")
+
+print("Passing numpy array to verify function")
+
+img1 = cv2.imread("dataset/img1.jpg")
+img2 = cv2.imread("dataset/img2.jpg")
+
+res = DeepFace.verify(img1, img2)
+print(res)
+
+print("--------------------------")
+
+print("Passing numpy array to find function")
+
+img1 = cv2.imread("dataset/img1.jpg")
+
+df = DeepFace.find(img1, db_path = "dataset")
+
+print(df.head())
+
+print("--------------------------")
\ No newline at end of file