Update roop/predictor.py

roop/predictor.py

@@ -1,18 +1,36 @@
+import threading
 import numpy
 import opennsfw2
 from PIL import Image
+from keras import Model
 
 from roop.typing import Frame
 
+PREDICTOR = None
+THREAD_LOCK = threading.Lock()
 MAX_PROBABILITY = 0.85
 
 
+def get_predictor() -> Model:
+    global PREDICTOR
+
+    with THREAD_LOCK:
+        if PREDICTOR is None:
+            PREDICTOR = opennsfw2.make_open_nsfw_model()
+    return PREDICTOR
+
+
+def clear_predictor() -> None:
+    global PREDICTOR
+
+    PREDICTOR = None
+
+
 def predict_frame(target_frame: Frame) -> bool:
     image = Image.fromarray(target_frame)
     image = opennsfw2.preprocess_image(image, opennsfw2.Preprocessing.YAHOO)
-    model = opennsfw2.make_open_nsfw_model()
     views = numpy.expand_dims(image, axis=0)
-    _, probability = model.predict(views)[0]
+    _, probability = get_predictor().predict(views)[0]
     return probability > MAX_PROBABILITY
 
 
@@ -22,4 +40,4 @@ def predict_image(target_path: str) -> bool:
 
 def predict_video(target_path: str) -> bool:
     _, probabilities = opennsfw2.predict_video_frames(video_path=target_path, frame_interval=100)
-    return any(probability > MAX_PROBABILITY for probability in probabilities)
+    return any(probability > MAX_PROBABILITY for probability in probabilities)