Replace NSFW detector implementation

This commit is contained in:
Mia Herkt 2024-09-25 18:12:39 +02:00
parent 3330a85c2c
commit 6393538333
No known key found for this signature in database
8 changed files with 21 additions and 3566 deletions

View file

@ -95,12 +95,15 @@ Optional:
NSFW Detection
--------------
0x0 supports classification of NSFW content via Yahoos open_nsfw Caffe
neural network model. This works for images and video files and requires
the following:
0x0 supports classification of NSFW content via
`a machine learning model <https://huggingface.co/giacomoarienti/nsfw-classifier>`_.
This works for images and video files and requires the following
Python modules:
* Caffe Python module (built for Python 3)
* `PyAV <https://github.com/PyAV-Org/PyAV>`_
* torch
* transformers
* pillow
* `av <https://github.com/PyAV-Org/PyAV>`_
Virus Scanning

View file

@ -70,7 +70,7 @@ app.config.update(
],
FHOST_UPLOAD_BLACKLIST = None,
NSFW_DETECT = False,
NSFW_THRESHOLD = 0.608,
NSFW_THRESHOLD = 0.92,
VSCAN_SOCKET = None,
VSCAN_QUARANTINE_PATH = "quarantine",
VSCAN_IGNORE = [

View file

@ -176,7 +176,7 @@ NSFW_DETECT = False
# are marked as NSFW.
#
# If NSFW_DETECT is set to False, then this has no effect.
NSFW_THRESHOLD = 0.608
NSFW_THRESHOLD = 0.92
# If you want to scan files for viruses using ClamAV, specify the socket used

View file

@ -1,7 +1,7 @@
#!/usr/bin/env python3
"""
Copyright © 2020 Mia Herkt
Copyright © 2024 Mia Herkt
Licensed under the EUPL, Version 1.2 or - as soon as approved
by the European Commission - subsequent versions of the EUPL
(the "License");
@ -18,57 +18,16 @@
and limitations under the License.
"""
import numpy as np
import os
import sys
from io import BytesIO
from pathlib import Path
os.environ["GLOG_minloglevel"] = "2" # seriously :|
import caffe
import av
av.logging.set_level(av.logging.PANIC)
from transformers import pipeline
class NSFWDetector:
def __init__(self):
npath = Path(__file__).parent / "nsfw_model"
self.nsfw_net = caffe.Net(
str(npath / "deploy.prototxt"),
caffe.TEST,
weights = str(npath / "resnet_50_1by2_nsfw.caffemodel")
)
self.caffe_transformer = caffe.io.Transformer({
'data': self.nsfw_net.blobs['data'].data.shape
})
# move image channels to outermost
self.caffe_transformer.set_transpose('data', (2, 0, 1))
# subtract the dataset-mean value in each channel
self.caffe_transformer.set_mean('data', np.array([104, 117, 123]))
# rescale from [0, 1] to [0, 255]
self.caffe_transformer.set_raw_scale('data', 255)
# swap channels from RGB to BGR
self.caffe_transformer.set_channel_swap('data', (2, 1, 0))
def _compute(self, img):
image = caffe.io.load_image(img)
H, W, _ = image.shape
_, _, h, w = self.nsfw_net.blobs["data"].data.shape
h_off = int(max((H - h) / 2, 0))
w_off = int(max((W - w) / 2, 0))
crop = image[h_off:h_off + h, w_off:w_off + w, :]
transformed_image = self.caffe_transformer.preprocess('data', crop)
transformed_image.shape = (1,) + transformed_image.shape
input_name = self.nsfw_net.inputs[0]
output_layers = ["prob"]
all_outputs = self.nsfw_net.forward_all(
blobs=output_layers, **{input_name: transformed_image})
outputs = all_outputs[output_layers[0]][0].astype(float)
return outputs
self.classifier = pipeline("image-classification", model="giacomoarienti/nsfw-classifier")
def detect(self, fpath):
try:
@ -77,24 +36,14 @@ class NSFWDetector:
except: container.seek(0)
frame = next(container.decode(video=0))
img = frame.to_image()
res = self.classifier(img)
if frame.width >= frame.height:
w = 256
h = int(frame.height * (256 / frame.width))
else:
w = int(frame.width * (256 / frame.height))
h = 256
frame = frame.reformat(width=w, height=h, format="rgb24")
img = BytesIO()
frame.to_image().save(img, format="ppm")
return max([x["score"] for x in res if x["label"] not in ["neutral", "drawings"]])
except: pass
scores = self._compute(img)
except:
return -1.0
return scores[1]
if __name__ == "__main__":
n = NSFWDetector()

View file

@ -1,11 +0,0 @@
Copyright 2016, Yahoo Inc.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

File diff suppressed because it is too large Load diff

View file

@ -12,7 +12,9 @@ python_magic
clamd
# nsfw detection
numpy
torch
transformers
pillow
# mod ui
av