Random Face
Project description
Random Face
A simple python library for fast image generation of people who do not exist.
For more details, please refer to the paper.
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()
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}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file random_face-2021.7.21.1.tar.gz.
File metadata
- Download URL: random_face-2021.7.21.1.tar.gz
- Upload date:
- Size: 9.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2b02afbb5c93895eb94753826b968a57e133d1fae9f4e7f231ad320dd8c67780
|
|
| MD5 |
d5baf71b51cace5b2170d0cc51c91a31
|
|
| BLAKE2b-256 |
839884aa8a0ac69e013d832ae1d94629cd0de5798d78e441a5b235f338c02c53
|
File details
Details for the file random_face-2021.7.21.1-py3-none-any.whl.
File metadata
- Download URL: random_face-2021.7.21.1-py3-none-any.whl
- Upload date:
- Size: 37.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e5d10e2be7df63f06123855ec591ca35dcb1d059eba47ddcb175d7d26b4019b5
|
|
| MD5 |
8753d428d30794a132040332d0d34d29
|
|
| BLAKE2b-256 |
2a302bdff17a2e89708dd9688b0d1763a21e319c4a69818d3241ee997f07bd40
|