A neural nets powered library that can detect nudity in images of both real humans and drawings. It takes an image as input and tells you exactly what NSFW parts of the body are visible. Optionally, you can censor the said parts.
pip install ifnude
Note: Importing ifnude for the first time will download a 139MB module to "/your/home/dir/.ifnude/", just once.
from ifnude import detect
# use mode="fast" for x3 speed with slightly lower accuracy
print(detect('/path/to/nsfw.png'))
Instead of a path, you can use a variable that contains an image loaded through cv2
(opencv) or PIL
(pillow).
[
{'box': [164, 188, 246, 271], 'score': 0.8253238201141357, 'label': 'EXPOSED_BREAST_F'},
{'box': [252, 190, 335, 270], 'score': 0.8235630989074707, 'label': 'EXPOSED_BREAST_F'}
]
from ifnude import detector
detector.censor_video(inp_video_path='path/to/video.mp4', out_video_path='path/to/output_video.mp4') #make sure to use forward slash (/)
This is fork of NudeNet library which doesn't work anymore.