dot \
-c ./configs/simswap.yaml \
--target data/ \
--source "data/" \
--save_folder test_local/
--use_image \
--use_gpu
dot \
-c ./configs/faceswap_cv2.yaml \
--target data/ \
--source "data/" \
--save_folder test_local/
--use_image \
--use_gpu
You can pass a --source
folder with images and some --target
images. Faceswapped images will be generated at --save_folder
including a metadata json file.
python scripts/image_swap.py \
--config <path_to_config/config.yaml> \
--source <path_to_source_images_folder> \
--target <path_to_target_images_folder> \
--save_folder <output_dir> \
--limit 100
python scripts/metadata_swap.py \
--config <path_to_config/config.yaml> \
--local_root_path <path_to_root_directory> \
--metadata <path_to_metadata_file> \
--set <train_or_test_dataset> \
--save_folder <path_to_output_folder> \
--limit 100
python scripts/video_swap.py \
-c <path_to_simpswap_config/config.yaml> \
-s <path_to_source_images> \
-t <path_to_target_videos> \
-o <path_to_output_folder> \
-d 5(Optional trim video in seconds) \
-l 5(Optional limit total swaps)