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

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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

github地址：https://github.com/anandpawara/Real_Time_Image_Animation