run_without_camera.md

Run dot on image and video files instead of camera feed

Using Images

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

Using Videos

dot -c ./configs/simswap.yaml --target "/path/to/driving/video" --source "data/image.png"  --save_folder test_local/ --use_gpu --use_video

dot -c ./configs/fomm.yaml --target "/path/to/driving/video" --source "data/image.png"  --save_folder test_local/  --use_gpu --use_video

Faceswap images from directory (Simswap)

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

Faceswap images from metadata (SimSwap)

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

Faceswap on video files (SimSwap)

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 -l 5

-d 5 is optional to trim video in seconds -l 5 is optional limit total swaps