diff --git a/facefusion/face_analyser.py b/facefusion/face_analyser.py
index 89671582..52ce8806 100644
--- a/facefusion/face_analyser.py
+++ b/facefusion/face_analyser.py
@@ -65,12 +65,13 @@ def pre_check() -> bool:
 def extract_faces(frame : Frame) -> List[Face]:
 	face_detector = get_face_analyser().get('face_detector')
 	faces: List[Face] = []
-	temp_frame = resize_frame_dimension(frame, 640, 640)
+	temp_frame = resize_frame_dimension(frame, 1024, 1024)
 	temp_frame_height, temp_frame_width, _ = temp_frame.shape
 	frame_height, frame_width, _ = frame.shape
 	ratio_height = frame_height / temp_frame_height
 	ratio_width = frame_width / temp_frame_width
 	face_detector.setScoreThreshold(0.5)
+	face_detector.setNMSThreshold(0.5)
 	face_detector.setTopK(100)
 	face_detector.setInputSize((temp_frame_width, temp_frame_height))
 	with THREAD_SEMAPHORE:
@@ -84,7 +85,7 @@ def extract_faces(frame : Frame) -> List[Face]:
 				(detection[0:4][0] + detection[0:4][2]) * ratio_width,
 				(detection[0:4][1] + detection[0:4][3]) * ratio_height
 			]
-			kps = (detection[4:14].reshape((5, 2)) * [[ ratio_width, ratio_height ]]).astype(int)
+			kps = (detection[4:14].reshape((5, 2)) * [[ ratio_width, ratio_height ]])
 			score = detection[14]
 			embedding = calc_embedding(frame, kps)
 			normed_embedding = embedding / numpy.linalg.norm(embedding)