zeusees / Hypernsfw
基于深度学习图片鉴黄 Caffe implementation of Not Suitable for Work (NSFW)
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HyperNSFW-Caffe
Introduction
This is a Caffe implementation of Not Suitable for Work (NSFW) classification deep neural network. This model is now slightly more accurate than Yahoo's Open NSFW. As a bonus, this model executes ~4x faster. We can run classification with this model at 80msec on the mobile phone. For details, please read our blog.
Evaluate Models with a single image
Evaluate HyperNSFW:
For Python Code
python eval_image.py --proto model/mobilenet_v2_deploy.prototxt --model model/HyperNSFW.caffemodel --image ./test.jpg
Expected Outputs:
0.9302 - 'n16000001 sfw'
0.0698 - 'n16000002 nsfw'
For CPP Code
cd Prj-Cpp
Compile detection.cpp with OpenCV 3.4.1 or higher version.
You can also compile ncnn_mobilenet.cpp with ncnn framework.
Then test the code.
Finetuning on your own data
Prepare your own data and use related files in the train folder to Finetune on your own data.
Related Projects
HyperNSFW is trained with the following projects, we recommend you to take a look:
- MobileNet-Caffe shicai/MobileNet-Caffe
Update (2018.12.03)
- cpp code release.
- Android Projects release.
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