/* Package nsfw uses TensorFlow to detect images that may not be safe for work. Copyright (c) 2018 - 2020 Michael Mayer This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details. You should have received a copy of the GNU Affero General Public License along with this program. If not, see . PhotoPrism® is a registered trademark of Michael Mayer. You may use it as required to describe our software, run your own server, for educational purposes, but not for offering commercial goods, products, or services without prior written permission. In other words, please ask. Feel free to send an e-mail to hello@photoprism.org if you have questions, want to support our work, or just want to say hello. Additional information can be found in our Developer Guide: https://docs.photoprism.org/developer-guide/ */ package nsfw import ( "github.com/photoprism/photoprism/internal/event" ) const ( ThresholdSafe = 0.75 ThresholdMedium = 0.85 ThresholdHigh = 0.98 ) var log = event.Log type Labels struct { Drawing float32 Hentai float32 Neutral float32 Porn float32 Sexy float32 } // IsSafe returns true if the image is probably safe for work. func (l *Labels) IsSafe() bool { return !l.NSFW(ThresholdSafe) } // NSFW returns true if the image is may not be safe for work. func (l *Labels) NSFW(threshold float32) bool { if l.Neutral > 0.25 { return false } if l.Porn > threshold || l.Sexy > threshold || l.Hentai > threshold { return true } return false }