Spaces:
Running
Running
File size: 1,154 Bytes
0bc8459 f5c908e 0bc8459 f5c908e 0bc8459 f5c908e 0bc8459 f5c908e 0bc8459 f5c908e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 |
import threading
import numpy as np
from PIL import Image
from keras.models import Model
import opennsfw2
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
with THREAD_LOCK:
PREDICTOR = None
def predict_frame(target_frame: Frame) -> bool:
image = Image.fromarray(target_frame)
processed_image = opennsfw2.preprocess_image(image, opennsfw2.Preprocessing.YAHOO)
views = np.expand_dims(processed_image, axis=0)
_, probability = get_predictor().predict(views)[0]
return probability > MAX_PROBABILITY
def predict_image(target_path: str) -> bool:
return opennsfw2.predict_image(target_path) > MAX_PROBABILITY
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)
|