Moderation of NSFW media files via AI.

The project uses ONNX Runtime for ML model inference. Install the ONNX Runtime shared library:

• macOS:

brew install onnxruntime

• Other platforms: See ONNX Runtime installation guide.

Download ONNX NSFW detection models and configure their paths in .env file. The service requires environment variables to be set:

• MODEL_OPEN - absolute path to OpenNSFW2 model
• MODEL_VIT - absolute path to ViT model

Models should accept input shape [batch_size, 224, 224, 3] (float32, normalized 0-1) and output shape [batch_size, 1] (float32, probability of NSFW) for OpenNSFW2 or [batch_size, 2] for ViT (probability pair: normal, nsfw).

If environment variables are not set, the service will panic with an error message.

See details on model conversion: doc/models/<model>.md

• macOS:

brew install ffmpeg

make

Copy the .env.example file to .env and configure the environment variables:

cp .env.example .env

Create assets/[1..7].png and assets/video[1..2].mp4