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README.md
open_nsfw_android
色情图片离线识别,基于TensorFlow实现。识别只需200ms,可断网测试,成功率99%,调用只要一行代码,从雅虎的开源项目open_nsfw_python移植,tflite(6M)为训练好的模型,该模型文件可用于iOS、java、C++等平台
使用
- Add it in your root build.gradle at the end of repositories:
allprojects {
repositories {
...
maven { url 'https://jitpack.io' }
}
}
dependencies {
//versionCode:上面小icon中最新版本号
implementation 'com.github.devzwy:open_nsfw_android:[versionCode]'
}
- Code like this
val nsfwBean = NsfwHelper.getInstance(this, true, 1).scanBitmapSyn(bitmap)
nsfwBean?.sfw ...
nsfwBean?.nsfw ...
Demo运行结果:
0.9254902 0.7764706 0.7254902 0.92156863 0.77254903 0.72156864
[16:16+224,16:16+224,:] [16:240,16:240,:]
0.90588236-R 0.75686276-G 0.68235296-B ------0.01960784 0.01960784 0.04313724 0.90196079 0.75294119 0.6784314
[:,:,:: -1]
0.68235296-B 0.75686276-G 0.90588236-R
*255 转换为int
174 193 231
-[104, 117, 123]
70 76 108
opencv假设图像是RGB三分量组成的图像,那么图像的
第一通道是R,
第二通道是G,
第三通道是B
Img[:,:,2]代表R通道,也就是红色分量图像;
Img[:,:,1]代表G通道,也就是绿色分量图像;
Img[:,:,0]代表B通道,也就是蓝色分量图像。