Synthesize photos from PhotoDNA using machine learning šŸŒ±

Related tags

Deep Learningribosome
Overview

Ribosome Build Status

Synthesize photos from PhotoDNA.

Ribosome demo

See the blog post for more information.

Installation

Dependencies

You can install Python dependencies using pip install -r requirements.txt. If you want to install the packages manually, here is a list:

Pre-trained models

Ribosome is released with 4 pre-trained models:

Use the models trained on NSFW data at your own risk.

Usage

Inference

Use the infer.py script to produce images from hashes:

python infer.py [--model MODEL] [--output OUTPUT] hash

The hash is a base64-encoded string, e.g. cVwhQ58OSCEOIwF+AigAkT0GAWdwAQs8o04KGYMfHBUANRUOAycUEFABCh6PABIghDBzCa4RTysQYVcvMDdkMypBPSyNAgRCcTf2AC9PfiYSWDw3KTcxPxM2HSqTDSIsgxJFFA+iihERcU4fHEY4Lj0xhw3QJN4OXQwbIzJjVTsUodIVVy3/FY8I/wcui11O.

Training

Datasets

Datasets consist of images paired with hashes, in the format of a CSV file with paths/hashes, and image files in a directory. The CSV file has two colums, path and hash (no header row). The hash is base64-encoded. Images are 100x100 in size. After producing such a CSV, it may be convenient to shuffle it and split it into a training set and validation set.

Example dataset

Ribosome includes an example dataset in this format, produced from COCO:

Preparing a dataset

To produce 100x100 images from an existing dataset, it may be convenient to use ImageMagick.

To resize image.jpg to 100x100 ignoring the original aspect ratio:

mogrify -resize '100x100!' image.jpg

To resize image.jpg to 100x100 by taking a center crop:

mogrify -resize '100x100^' -gravity Center -extent '100x100' image.jpg

You can process files in parallel using find / xargs, e.g. to convert all .jpg images using 24 threads:

find . -name '*.jpg' | xargs -n 1 -P 24 mogrify -resize '100x100!'

Ribosome does not provide code to compute PhotoDNA hashes, but such code is available in pyPhotoDNA.

Train a model

Use the train.py script to train a model on a dataset:

python train.py --train-data TRAIN_DATA ...
  • --train-data is the path to the train data CSV
  • Paths in the CSV are interpreted relative to --data-dir (or . if not supplied)
  • --val-data is the path to the validation data CSV; if provided, the script will report the validation loss after every epoch

See python train.py --help for all the options.

License

Copyright (c) Anish Athalye. Released under the MIT License. See LICENSE.md for details.

You might also like...
Patient-Survival - Using Python, I developed a Machine Learning model using classification techniques such as Random Forest and SVM classifiers to predict a patient's survival status that have undergone breast cancer surgery.

Patient-Survival - Using Python, I developed a Machine Learning model using classification techniques such as Random Forest and SVM classifiers to predict a patient's survival status that have undergone breast cancer surgery.

Nafis Ahmed 1 Dec 28, 2021
Intrusion Detection System using ensemble learning (machine learning)
Intrusion Detection System using ensemble learning (machine learning)

IDS-ML implementation of an intrusion detection system using ensemble machine learning methods Data set This project is carried out using the UNSW-15

null 4 Nov 25, 2022
Codes for realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.

Codes-for-Algorithms Codes for realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.

Tracy (Shengmin) Tao 1 Apr 12, 2022
An open source machine learning library for performing regression tasks using RVM technique.

Introduction neonrvm is an open source machine learning library for performing regression tasks using RVM technique. It is written in C programming la

Siavash Eliasi 33 May 31, 2022
Knowledge Management for Humans using Machine Learning & Tags
Knowledge Management for Humans using Machine Learning & Tags

HyperTag HyperTag helps humans intuitively express how they think about their files using tags and machine learning.

Ravn Tech, Inc. 165 Nov 4, 2022
Pneumonia Detection using machine learning - with PyTorch
Pneumonia Detection using machine learning - with PyTorch

Pneumonia Detection Pneumonia Detection using machine learning. Training was done in colab: DEMO: Result (Confusion Matrix): Data I uploaded my datase

Wilhelm Berghammer 12 Jul 7, 2022
Optimising chemical reactions using machine learning
Optimising chemical reactions using machine learning

Summit Summit is a set of tools for optimising chemical processes. Weā€™ve started by targeting reactions. What is Summit? Currently, reaction optimisat

Sustainable Reaction Engineering Group 75 Dec 14, 2022
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Modeling High-Frequency Limit Order Book Dynamics Using Machine Learning Framework to capture the dynamics of high-frequency limit order books. Overvi

Chang-Shu Chung 1.3k Jan 7, 2023
Algorithmic trading using machine learning.
Algorithmic trading using machine learning.

Algorithmic Trading This machine learning algorithm was built using Python 3 and scikit-learn with a Decision Tree Classifier. The program gathers sto

Sourav Biswas 101 Nov 10, 2022
Owner
Anish Athalye
grad student @mit-pdos
Anish Athalye
GitHub Repository http://www.anishathalye.com/2021/12/20/inverting-photodna/
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework

This repo is the official implementation of "Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework". @inproceedings{zhou2021insta

34 Dec 31, 2022
Code for ICCV 2021 paper Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes using Scene Graphs

Graph-to-3D This is the official implementation of the paper Graph-to-3d: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs | arx

Helisa Dhamo 33 Jan 06, 2023
Simple Python application to transform Serial data into OSC messages

SerialToOSC-Bridge Simple Python application to transform Serial data into OSC messages. The current purpose is to be a compatibility layer between ha

Division of Applied Acoustics at Chalmers University of Technology 3 Jun 03, 2021
Code repository for paper `Skeleton Merger: an Unsupervised Aligned Keypoint Detector`.

Skeleton Merger Skeleton Merger, an Unsupervised Aligned Keypoint Detector. The paper is available at https://arxiv.org/abs/2103.10814. A map of the r

åŒ—ęµ·č‹„ 48 Nov 14, 2022
Train Dense Passage Retriever (DPR) with a single GPU

Gradient Cached Dense Passage Retrieval Gradient Cached Dense Passage Retrieval (GC-DPR) - is an extension of the original DPR library. We introduce G

Luyu Gao 92 Jan 02, 2023
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation

Configurations Change HOME_PATH in CONFIG.py as the current path Data Prepare CENSINCOME Download data Put census-income.data and census-income.test i

2 Aug 14, 2022
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering

Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering

Yaoming Cai 5 Jul 18, 2022
Implementation of the paper "Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning"

Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning This is the implementation of the paper "Self-Promoted Prototype Refinement

Kai Zhu 78 Dec 02, 2022
Libraries, tools and tasks created and used at DeepMind Robotics.

dm_robotics: Libraries, tools, and tasks created and used for Robotics research at DeepMind. Package overview Package Summary Transformations Rigid bo

DeepMind 273 Jan 06, 2023
[AAAI 2021] EMLight: Lighting Estimation via Spherical Distribution Approximation and [ICCV 2021] Sparse Needlets for Lighting Estimation with Spherical Transport Loss

EMLight: Lighting Estimation via Spherical Distribution Approximation (AAAI 2021) Update 12/2021: We release our Virtual Object Relighting (VOR) Datas

Fangneng Zhan 144 Jan 06, 2023
The official implementation for "FQ-ViT: Fully Quantized Vision Transformer without Retraining".

FQ-ViT [arXiv] This repo contains the official implementation of "FQ-ViT: Fully Quantized Vision Transformer without Retraining". Table of Contents In

132 Jan 08, 2023
CRNN With PyTorch

CRNN-PyTorch Implementation of https://arxiv.org/abs/1507.05717

Vadim 4 Sep 01, 2022
PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

Impersonator PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer an

SVIP Lab 1.7k Jan 06, 2023
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation (CVPR'21)

EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation (CVPR'21) Citation If y

addisonwang 18 Nov 11, 2022
Fast Soft Color Segmentation

Fast Soft Color Segmentation

3 Oct 29, 2022
DTCN IJCAI - Sequential prediction learning framework and algorithm

DTCN This is the implementation of our paper "Sequential Prediction of Social Me

Bobby 2 Jan 24, 2022
This is the repository for paper NEEDLE: Towards Non-invertible Backdoor Attack to Deep Learning Models.

This is the repository for paper NEEDLE: Towards Non-invertible Backdoor Attack to Deep Learning Models.

1 Oct 25, 2021
Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

ON-LSTM This repository contains the code used for word-level language model and unsupervised parsing experiments in Ordered Neurons: Integrating Tree

Yikang Shen 572 Nov 21, 2022
A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.

ViTGAN: Training GANs with Vision Transformers A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers. Refer

Hong-Jia Chen 127 Dec 23, 2022
PyTorch implementation of normalizing flow models

PyTorch implementation of normalizing flow models

Vincent Stimper 242 Jan 02, 2023