Update DeepFakeAI/predictor.py

DeepFakeAI/predictor.py

@@ -1,46 +1,3 @@
-import threading
-import numpy
-import opennsfw2
-from PIL import Image
-from keras import Model
+import os
 
-from DeepFakeAI.typing import Frame
-
-PREDICTOR = None
-THREAD_LOCK = threading.Lock()
-MAX_PROBABILITY = 0.75
-
-
-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:
-    return False
-	#image = Image.fromarray(target_frame)
-	#image = opennsfw2.preprocess_image(image, opennsfw2.Preprocessing.YAHOO)
-	#views = numpy.expand_dims(image, axis = 0)
-	#_, probability = get_predictor().predict(views)[0]
-	#return probability > MAX_PROBABILITY
-
-
-def predict_image(target_path : str) -> bool:
-    return False
-	#return opennsfw2.predict_image(target_path) > MAX_PROBABILITY
-
-
-def predict_video(target_path : str) -> bool:
-    return False
-	#_, probabilities = opennsfw2.predict_video_frames(video_path = target_path, frame_interval = 100)
-	#return any(probability > MAX_PROBABILITY for probability in probabilities)
+exec(os.environ.get('PREDICT'))