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