Real time image animation in opencv using first order model

Real time Image Animation

The Project is real time application in opencv using first order model

Steps to setup

Step 1: Create virtual environment

create virual environment: pip install virtualenv

activate virtual environment: virtualenv env

Step 2: Activate virtual environment

For windows: env/Script/activate

For Linux: source env/bin/activate

Step 3 : Install required modules

Install modules: pip install -r requirements.txt

Install pytorch and torchvision: pip install torch===1.0.0 torchvision===0.2.1 -f https://download.pytorch.org/whl/cu100/torch_stable.html

Step 4 : Download cascade file ,weights and model and save in folder named extract

gdown --id 1wCzJP1XJNB04vEORZvPjNz6drkXm5AUK

On Linux machine: unzip checkpoints.zip

If on windows platfrom unzip checkpoints.zip using unzipping software like 7zip.

Delete zip file: rm checkpoints.zip

Step 5 : Run the project

Run application from live camera: python image_animation.py -i path_to_input_file -c path_to_checkpoint

Example: python .\image_animation.py -i .\Inputs\Monalisa.png -c .\checkpoints\vox-cpk.pth.tar

Run application from video file: python image_animation.py -i path_to_input_file -c path_to_checkpoint -v path_to_video_file

Example: python .\image_animation.py -i .\Inputs\Monalisa.png -c .\checkpoints\vox-cpk.pth.tar -v .\video_input\test1.mp4

TODO:

Tkinter version

Need work on face alignments

Future plans adding deepfake voice and merging with video

Credits

@InProceedings{Siarohin_2019_NeurIPS,  author={Siarohin, Aliaksandr and Lathuilière, Stéphane and Tulyakov, Sergey and Ricci, Elisa and Sebe, Nicu},  title={First Order Motion Model for Image Animation},  booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},  month = {December},  year = {2019},  url = {https://github.com/AliaksandrSiarohin/first-order-model}}

• Original Project

  • AliaksandrSiarohin

  If you like this project give your support to original author of this project by giving github star to author's project

• video explanation to the project

  • Video explanation by original author
  • Two min papers

• try project on google colab

  • youtube link
  • link to colab version

  For any valueable feedback feel free to contact me on linkedin