Milovana.com

kerkersklave wrote: Sat Mar 27, 2021 3:58 pm Hi Leah,

it quickly took a look at it as it seemed quite interesting.

I tried it on one random picture and it seems to work very well. I used the installation via pip which at least on Linux worked like a charm. What is the project you're working on? And how can I help you?

kerkersklave wrote: Sat Mar 27, 2021 6:48 pm I've tested it on the following picture. It censors face, breasts, and pussy. I've tried other pictures but those are private


Which API are you using? The python one as well? I have not seen that error message.

bonsec wrote: Sat Mar 27, 2021 6:58 pm I used this as well for a project, however I only used their detect method and did my own censoring in frontend javascript.
I had a quick look at the error and it comes from the detector model, so if detect is working fine but censor is giving that error, I suspect the args passed to censor had some mixup.

Miss_Leah. wrote: Sat Mar 27, 2021 7:40 pm I was actually mainly referring to the python file, I'm unsure if I'm writing the code right, I haven't really gotten the hang of interpreting other peoples code, and its been a short while since I dabbled with python last, do you mind sending it?

from nudenet import NudeDetector

detector = NudeDetector()
detector.censor('test.jpeg', out_path = 'out.jpeg')

kerkersklave wrote: Sat Mar 27, 2021 8:49 pm

Miss_Leah. wrote: Sat Mar 27, 2021 7:40 pm I was actually mainly referring to the python file, I'm unsure if I'm writing the code right, I haven't really gotten the hang of interpreting other peoples code, and its been a short while since I dabbled with python last, do you mind sending it?

My code looks like this:

Code: Select all

from nudenet import NudeDetector

detector = NudeDetector()
detector.censor('test.jpeg', out_path = 'out.jpeg')

from nudenet import NudeDetector
from nudenet import NudeClassifier

detector = NudeDetector()

detector.censor(
    './image1.jpeg', 
    out_path='./image1_censored.jpeg', 
    visualize=False
)

kerkersklave wrote: Sat Mar 27, 2021 9:20 pm Your code works fine for me, can't see any problem either.

This error comes somewhere from within the neural net engine from googling it. Sounds like the model has not been loaded properly. From looking at the code of censor() it just calls detect() and then manipulates the images.

Did you try calling detect() directly and does that work? (Not quite sure form your previous posts).
Can you copy the complete error message including the stack trace?

Traceback (most recent call last):
  File "test.py", line 3, in <module>
    detector = NudeDetector()
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/nudenet/detector.py", line 57, in __init__
    self.detection_model = onnxruntime.InferenceSession(checkpoint_path)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 280, in __init__
    self._create_inference_session(providers, provider_options)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 307, in _create_inference_session
    sess = C.InferenceSession(session_options, self._model_path, True, self._read_config_from_model)
onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Load model from /Users/leah/.NudeNet/detector_v2_default_checkpoint.onnx failed:/Users/runner/work/1/s/onnxruntime/core/graph/model.cc:101 onnxruntime::Model::Model(onnx::ModelProto &&, const onnxruntime::PathString &, const onnxruntime::IOnnxRuntimeOpSchemaRegistryList *, const logging::Logger &) ModelProto does not have a graph.