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}
}
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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
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