diff --git a/darknet_video.py b/darknet_video.py
index cc20b266606..e1a621602bb 100644
--- a/darknet_video.py
+++ b/darknet_video.py
@@ -61,6 +61,7 @@ def set_saved_video(input_video, output_video, size):
 
 
 def video_capture(frame_queue, darknet_image_queue):
+    darknet_image_id = 0
     while cap.isOpened():
         ret, frame = cap.read()
         if not ret:
@@ -69,9 +70,12 @@ def video_capture(frame_queue, darknet_image_queue):
         frame_resized = cv2.resize(frame_rgb, (width, height),
                                    interpolation=cv2.INTER_LINEAR)
         frame_queue.put(frame_resized)
-        img_for_detect = darknet.make_image(width, height, 3)
-        darknet.copy_image_from_bytes(img_for_detect, frame_resized.tobytes())
-        darknet_image_queue.put(img_for_detect)
+        darknet_image = darknet_images[darknet_image_id]
+        darknet.copy_image_from_bytes(darknet_image, frame_resized.tobytes())
+        darknet_image_queue.put(darknet_image)
+        if darknet_image_id==maxsize-1:
+            darknet_image_id = 0
+        darknet_image_id+=1        
     cap.release()
 
 
@@ -112,9 +116,10 @@ def drawing(frame_queue, detections_queue, fps_queue):
 
 if __name__ == '__main__':
     frame_queue = Queue()
-    darknet_image_queue = Queue(maxsize=1)
-    detections_queue = Queue(maxsize=1)
-    fps_queue = Queue(maxsize=1)
+    maxsize = 250
+    darknet_image_queue = Queue(maxsize = maxsize-2)
+    detections_queue = Queue(maxsize = maxsize-2)
+    fps_queue = Queue(maxsize = maxsize-2)
 
     args = parser()
     check_arguments_errors(args)
@@ -128,6 +133,11 @@ def drawing(frame_queue, detections_queue, fps_queue):
     height = darknet.network_height(network)
     input_path = str2int(args.input)
     cap = cv2.VideoCapture(input_path)
+    darknet_images = []
+    for i in range(maxsize):
+        darknet_image = darknet.make_image(width, height, 3)
+        darknet_images.append(darknet_image)
+        
     Thread(target=video_capture, args=(frame_queue, darknet_image_queue)).start()
     Thread(target=inference, args=(darknet_image_queue, detections_queue, fps_queue)).start()
     Thread(target=drawing, args=(frame_queue, detections_queue, fps_queue)).start()