This repo is for the final project of Machine Learning in 2023 based on Simswap
We provide several models for face swap, including Deform, dancer, shifter
Run dancer:
python train.py --model_name dancer --dataset /content/TrainingData/vggface2_crop_arcfacealign_224 --lambda_cycle 0 --lambda_gp 0 --n_blocks 3 --n_layers 3 --model_freq 3000 --total_step 100000Run shifter:
python train.py --model_name simplified --dataset /kaggle/working/TrainingData/vggface2_crop_arcfacealign_224 --lambda_gp 0 --n_blocks 6 --n_layers 5 --model_freq 3000 --total_step 100000 --kernel_type deformRun deform:
python train.py --model_name simswap+=+ --name simswap --dataset /kaggle/working/TrainingData/vggface2_crop_arcfacealign_224 --lambda_gp 0 --n_blocks 6 --n_layers 3 --model_freq 20000 --total_step 100000 --kernel_type deformIn the wandb page, there are different running environments. You can find it by group the runs by batchSize. 4 is on Colab, with this repo, and 8 is on another group member's server, with the original simswap repo.