# HyperNSFW

**Repository Path**: tunmx/HyperNSFW

## Basic Information

- **Project Name**: HyperNSFW
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-04-03
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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](https://blog.csdn.net/lsy17096535/article/details/84564976).

### 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](https://github.com/shicai/MobileNet-Caffe)


### Update (2018.12.03)

- cpp code release.
- Android Projects release.