diff --git a/mainscripts/Extractor.py b/mainscripts/Extractor.py
index 74fe9bf..76f55c1 100644
--- a/mainscripts/Extractor.py
+++ b/mainscripts/Extractor.py
@@ -26,11 +26,12 @@ DEBUG = False
 
 class ExtractSubprocessor(Subprocessor):
     class Data(object):
-        def __init__(self, filename=None, rects=None, landmarks = None, landmarks_accurate=True, force_output_path=None, final_output_files = None):
+        def __init__(self, filename=None, rects=None, landmarks = None, landmarks_accurate=True, manual=False, force_output_path=None, final_output_files = None):
             self.filename = filename
             self.rects = rects or []
             self.rects_rotation = 0
             self.landmarks_accurate = landmarks_accurate
+            self.manual = manual
             self.landmarks = landmarks or []
             self.force_output_path = force_output_path
             self.final_output_files = final_output_files or []
@@ -240,7 +241,7 @@ class ExtractSubprocessor(Subprocessor):
                             rect_area      = mathlib.polygon_area(np.array(rect[[0,2,2,0]]), np.array(rect[[1,1,3,3]]))
                             landmarks_area = mathlib.polygon_area(landmarks_bbox[:,0], landmarks_bbox[:,1] )
 
-                            if self.face_type <= FaceType.FULL_NO_ALIGN and landmarks_area > 4*rect_area: #get rid of faces which umeyama-landmark-area > 4*detector-rect-area
+                            if not data.manual and self.face_type <= FaceType.FULL_NO_ALIGN and landmarks_area > 4*rect_area: #get rid of faces which umeyama-landmark-area > 4*detector-rect-area
                                 continue
 
                             if self.debug_dir is not None:
@@ -764,7 +765,7 @@ def main(input_dir,
     if images_found != 0:
         if detector == 'manual':
             io.log_info ('Performing manual extract...')
-            data = ExtractSubprocessor ([ ExtractSubprocessor.Data(filename) for filename in input_path_image_paths ], 'landmarks', image_size, face_type, debug_dir, cpu_only=cpu_only, manual=True, manual_window_size=manual_window_size).run()
+            data = ExtractSubprocessor ([ ExtractSubprocessor.Data(filename, manual=True) for filename in input_path_image_paths ], 'landmarks', image_size, face_type, debug_dir, cpu_only=cpu_only, manual=True, manual_window_size=manual_window_size).run()
         else:
             io.log_info ('Performing 1st pass...')
             data = ExtractSubprocessor ([ ExtractSubprocessor.Data(filename) for filename in input_path_image_paths ], 'rects-'+detector, image_size, face_type, debug_dir, multi_gpu=multi_gpu, cpu_only=cpu_only, manual=False, max_faces_from_image=max_faces_from_image).run()
@@ -780,7 +781,7 @@ def main(input_dir,
             if all ( np.array ( [ d.faces_detected > 0 for d in data] ) == True ):
                 io.log_info ('All faces are detected, manual fix not needed.')
             else:
-                fix_data = [ ExtractSubprocessor.Data(d.filename) for d in data if d.faces_detected == 0 ]
+                fix_data = [ ExtractSubprocessor.Data(d.filename, manual=True) for d in data if d.faces_detected == 0 ]
                 io.log_info ('Performing manual fix for %d images...' % (len(fix_data)) )
                 fix_data = ExtractSubprocessor (fix_data, 'landmarks', image_size, face_type, debug_dir, manual=True, manual_window_size=manual_window_size).run()
                 fix_data = ExtractSubprocessor (fix_data, 'final', image_size, face_type, debug_dir, multi_gpu=multi_gpu, cpu_only=cpu_only, manual=False, final_output_path=output_path).run()