diff --git a/facefusion/content_analyser.py b/facefusion/content_analyser.py
index bc2d86b..8c4cfa1 100644
--- a/facefusion/content_analyser.py
+++ b/facefusion/content_analyser.py
@@ -38,7 +38,6 @@ def create_static_model_set(download_scope : DownloadScope) -> ModelSet:
 				}
 			},
 			'size': (640, 640),
-			'threshold': 0.2,
 			'mean': (0.0, 0.0, 0.0),
 			'standard_deviation': (1.0, 1.0, 1.0)
 		},
@@ -61,7 +60,6 @@ def create_static_model_set(download_scope : DownloadScope) -> ModelSet:
 				}
 			},
 			'size': (384, 384),
-			'threshold': 0.25,
 			'mean': (0.5, 0.5, 0.5),
 			'standard_deviation': (0.5, 0.5, 0.5)
 		},
@@ -84,7 +82,6 @@ def create_static_model_set(download_scope : DownloadScope) -> ModelSet:
 				}
 			},
 			'size': (448, 448),
-			'threshold': 10.5,
 			'mean': (0.48145466, 0.4578275, 0.40821073),
 			'standard_deviation': (0.26862954, 0.26130258, 0.27577711)
 		}
@@ -167,7 +164,7 @@ def analyse_video(video_path : str, trim_frame_start : int, trim_frame_end : int
 			progress.set_postfix(rate = rate)
 			progress.update()
 
-	return rate > 10.0
+	return bool(rate > 10.0)
 
 
 def detect_nsfw(vision_frame : VisionFrame) -> bool:
@@ -179,30 +176,24 @@ def detect_nsfw(vision_frame : VisionFrame) -> bool:
 
 
 def detect_with_nsfw_1(vision_frame : VisionFrame) -> bool:
-	model_set = create_static_model_set('full').get('nsfw_1')
-	model_threshold = model_set.get('threshold')
 	detect_vision_frame = prepare_detect_frame(vision_frame, 'nsfw_1')
 	detection = forward_nsfw(detect_vision_frame, 'nsfw_1')
 	detection_score = numpy.max(numpy.amax(detection[:, 4:], axis = 1))
-	return detection_score > model_threshold
+	return bool(detection_score > 0.2)
 
 
 def detect_with_nsfw_2(vision_frame : VisionFrame) -> bool:
-	model_set = create_static_model_set('full').get('nsfw_2')
-	model_threshold = model_set.get('threshold')
 	detect_vision_frame = prepare_detect_frame(vision_frame, 'nsfw_2')
 	detection = forward_nsfw(detect_vision_frame, 'nsfw_2')
 	detection_score = detection[0] - detection[1]
-	return detection_score > model_threshold
+	return bool(detection_score > 0.25)
 
 
 def detect_with_nsfw_3(vision_frame : VisionFrame) -> bool:
-	model_set = create_static_model_set('full').get('nsfw_3')
-	model_threshold = model_set.get('threshold')
 	detect_vision_frame = prepare_detect_frame(vision_frame, 'nsfw_3')
 	detection = forward_nsfw(detect_vision_frame, 'nsfw_3')
 	detection_score = (detection[2] + detection[3]) - (detection[0] + detection[1])
-	return detection_score > model_threshold
+	return bool(detection_score > 10.5)
 
 
 def forward_nsfw(vision_frame : VisionFrame, nsfw_model : str) -> Detection: