A simple python library for fast image generation of people who do not exist.

Related tags

Deep Learningrandom_face
Overview

Random Face

A simple python library for fast image generation of people who do not exist.

For more details, please refer to the [paper](https://arxiv.org/abs/2104.04767).

Requirements

  • Linux, Windows, MacOS
  • Python 3.8+
  • CPU compatible with OpenVINO.

Install package

pip install random_face

Install the latest version

git clone https://github.com/bes-dev/random_face.git
cd random_face
pip install -r requirements.txt
python download_model.py
pip install .

Demo

python -m random_face.demo

Example

import cv2
import random_face

engine = random_face.get_engine()
face = engine.get_random_face()
cv2.imshow("face", face)
cv2.waitKey()

Open In Colab Open In Gradio

Citation

@misc{belousov2021mobilestylegan,
      title={MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis},
      author={Sergei Belousov},
      year={2021},
      eprint={2104.04767},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
You might also like...
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN.
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN.

Ryan Murdock has done it again, combining OpenAI's CLIP and the generator from a BigGAN! This repository wraps up his work so it is easily accessible to anyone who owns a GPU.

Phil Wang 2.3k Jan 9, 2023
This is the official repo for TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations at CVPR'21. According to some product reasons, we are not planning to release the training/testing codes and models. However, we will release the dataset and the scripts to prepare the dataset.
This is the official repo for TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations at CVPR'21. According to some product reasons, we are not planning to release the training/testing codes and models. However, we will release the dataset and the scripts to prepare the dataset.

TransFill-Reference-Inpainting This is the official repo for TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transf

Yuqian Zhou 80 Dec 8, 2022
A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.
A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.

Poisson Image Editing - A Parallel Implementation Jiayi Weng (jiayiwen), Zixu Chen (zixuc) Poisson Image Editing is a technique that can fuse two imag

Jiayi Weng 110 Dec 27, 2022
Python wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library.

SymEngine Python Wrappers Python wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library. Installation Pip See License section

null 136 Dec 28, 2022
Simple-Image-Classification - Simple Image Classification Code (PyTorch)
Simple-Image-Classification - Simple Image Classification Code (PyTorch)

Simple-Image-Classification Simple Image Classification Code (PyTorch) Yechan Kim This repository contains: Python3 / Pytorch code for multi-class ima

Yechan Kim 8 Oct 29, 2022
A python software that can help blind people find things like laptops, phones, etc the same way a guide dog guides a blind person in finding his way.

GuidEye A python software that can help blind people find things like laptops, phones, etc the same way a guide dog guides a blind person in finding h

Munal Jain 0 Aug 9, 2022
Code for
Code for "Layered Neural Rendering for Retiming People in Video."

Layered Neural Rendering in PyTorch This repository contains training code for the examples in the SIGGRAPH Asia 2020 paper "Layered Neural Rendering

Google 154 Dec 16, 2022
Implementation for the paper SMPLicit: Topology-aware Generative Model for Clothed People (CVPR 2021)
Implementation for the paper SMPLicit: Topology-aware Generative Model for Clothed People (CVPR 2021)

SMPLicit: Topology-aware Generative Model for Clothed People [Project] [arXiv] License Software Copyright License for non-commercial scientific resear

Enric Corona 225 Dec 13, 2022
People movement type classifier with YOLOv4 detection and SORT tracking.
People movement type classifier with YOLOv4 detection and SORT tracking.

Movement classification The goal of this project would be movement classification of people, in other words, walking (normal and fast) and running. Yo

null 4 Sep 21, 2021
Comments
  • Explicitly specified the compatible openvino library version

    Explicitly specified the compatible openvino library version

    The latest openvino library 2022.x version is incompatible with this library. Hence updated the requirements file to specify the last compatible version of openvino library. Now the error is fixed and the library is working properly.

    More details are in https://github.com/bes-dev/random_face/issues/6

    bug 
    opened by comprakash 3
  • description of input/ouput of the models

    description of input/ouput of the models

    Hi, I've been trying to use the models using another framework, I tried to follow the python code to define de input and output of the two models unsuccessfully.

    So far I got:

    512 random values > Style model > 512 style values, truncated? > Synthesys model > final image.

    Should the random values be between 0 and 1? any additional requirement?

    So I need to know the expected values for each input/output, and how to truncate the style values.

    opened by vpenades 1
  • Error: Argument shapes are inconsistent

    Error: Argument shapes are inconsistent

    I am getting an error while trying a simple program. Could you please assist on how to fix this issue.

    engine = random_face.get_engine() random_face = engine.get_random_face()

    Traceback (most recent call last): File "./scripts/generate_random_fvs.py", line 8, in engine = random_face.get_engine() File "/home/omprakash/github/CassiniServer/venv/lib/python3.8/site-packages/random_face/random_face.py", line 29, in get_engine return EngineOpenvino(cfg) File "/home/omprakash/github/CassiniServer/venv/lib/python3.8/site-packages/random_face/engine_openvino.py", line 39, in init self.snet_exec = self.ie.load_network(network=self.snet, device_name="CPU") File "ie_api.pyx", line 413, in openvino.inference_engine.ie_api.IECore.load_network File "ie_api.pyx", line 457, in openvino.inference_engine.ie_api.IECore.load_network RuntimeError: Check 'PartialShape::broadcast_merge_into(pshape, node->get_input_partial_shape(i), autob)' failed at core/src/op/util/elementwise_args.cpp:30: While validating node 'v1::Multiply Multiply_9566 (Mul_39_copy[0]:f32{512,512,3,3}, Constant_9519[0]:f32{1,512,4,4}) -> (dynamic...)' with friendly_name 'Multiply_9566': Argument shapes are inconsistent.

    opened by OmPrakash4 1
  • how solve this issue?

    how solve this issue? 

    Processing time: 0.1736280918121338 s.
Press 'q' for quit
qt.qpa.plugin: Could not load the Qt platform plugin "xcb" in "/usr/local/lib/python3.8/dist-packages/cv2/qt/plugins" even though it was found.
This application failed to start because no Qt platform plugin could be initialized. Reinstalling the application may fix this problem.

Available platform plugins are: xcb.

Aborted (core dumped)
    opened by johnfelipe 1
Releases(2021.07.21.1)
Owner
Sergei Belousov
Sergei Belousov
GitHub Repository
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification

Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification

DingDing 143 Jan 01, 2023
Neural networks applied in recognizing guitar chords using python, AutoML.NET with C# and .NET Core

Chord Recognition Demo application The demo application is written in C# with .NETCore. As of July 9, 2020, the only version available is for windows

Andres Mauricio Rondon Patiño 24 Oct 22, 2022
Official Implementation of "Designing an Encoder for StyleGAN Image Manipulation"

Designing an Encoder for StyleGAN Image Manipulation (SIGGRAPH 2021) Recently, there has been a surge of diverse methods for performing image editing

749 Jan 09, 2023
League of Legends Reinforcement Learning Environment (LoLRLE) multiple training scenarios using PPO.

League of Legends Reinforcement Learning Environment (LoLRLE) About This repo contains code to train an agent to play league of legends in a distribut

2 Aug 19, 2022
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking We revisit and address issues with Oxford 5k and Paris 6k image retrieval benchm

Filip Radenovic 188 Dec 17, 2022
FS2KToolbox FS2K Dataset Towards the translation between Face

FS2KToolbox FS2K Dataset Towards the translation between Face -- Sketch. Download (photo+sketch+annotation): Google-drive, Baidu-disk, pw: FS2K. For

Deng-Ping Fan 5 Jan 03, 2023
A video scene detection algorithm is designed to detect a variety of different scenes within a video

Scene-Change-Detection - A video scene detection algorithm is designed to detect a variety of different scenes within a video. There is a very simple definition for a scene: It is a series of logical

1 Jan 04, 2022
This is the source code for generating the ASL-Skeleton3D and ASL-Phono datasets. Check out the README.md for more details.

ASL-Skeleton3D and ASL-Phono Datasets Generator The ASL-Skeleton3D contains a representation based on mapping into the three-dimensional space the coo

Cleison Amorim 5 Nov 20, 2022
🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

Hugging Face Optimum 🤗 Optimum is an extension of 🤗 Transformers, providing a set of performance optimization tools enabling maximum efficiency to t

Hugging Face 842 Dec 30, 2022
Face Transformer for Recognition

Face-Transformer This is the code of Face Transformer for Recognition (https://arxiv.org/abs/2103.14803v2). Recently there has been great interests of

Zhong Yaoyao 153 Nov 30, 2022
Python program that works as a contact list

Lista de Contatos Programa em Python que funciona como uma lista de contatos. Features Adicionar novo contato Remover contato Atualizar contato Pesqui

Victor B. Lino 3 Dec 16, 2021
Training Very Deep Neural Networks Without Skip-Connections

DiracNets v2 update (January 2018): The code was updated for DiracNets-v2 in which we removed NCReLU by adding per-channel a and b multipliers without

Sergey Zagoruyko 585 Oct 12, 2022
Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs This repository is the implementation of SELAR. Dasol Hwang* , Jinyoung Pa

MLV Lab (Machine Learning and Vision Lab at Korea University) 48 Nov 09, 2022
Code and data for the paper "Hearing What You Cannot See"

Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners Public repository of the paper "Hearing What You Cannot See: Acoustic Vehicle D

TU Delft Intelligent Vehicles 26 Jul 13, 2022
Programming with Neural Surrogates of Programs

Programming with Neural Surrogates of Programs

0 Dec 12, 2021
Meshed-Memory Transformer for Image Captioning. CVPR 2020

M²: Meshed-Memory Transformer This repository contains the reference code for the paper Meshed-Memory Transformer for Image Captioning (CVPR 2020). Pl

AImageLab 422 Dec 28, 2022
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval.

DARP-SBIR Intro This repository contains the source code implementation for ICDM submission paper Deep Reinforced Attention Regression for Partial Ske

2 Jan 09, 2022
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

Semi-supervised-learning-for-medical-image-segmentation. Recently, semi-supervised image segmentation has become a hot topic in medical image computin

Healthcare Intelligence Laboratory 1.3k Jan 03, 2023
Import Python modules from dicts and JSON formatted documents.

Paker Paker is module for importing Python packages/modules from dictionaries and JSON formatted documents. It was inspired by httpimporter. Important

Wojciech Wentland 1 Sep 07, 2022
Implementation for On Provable Benefits of Depth in Training Graph Convolutional Networks

Implementation for On Provable Benefits of Depth in Training Graph Convolutional Networks Setup This implementation is based on PyTorch = 1.0.0. Smal

Weilin Cong 8 Oct 28, 2022