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Download facefusion/normalizer.py from imseldrith/myDeepFakeAI: direct link, hf CLI and curl.
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- Download file 1.66 kB
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https://huggingface.co/spaces/imseldrith/myDeepFakeAI/resolve/main/facefusion/normalizer.py
- Command line
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hf download hf://spaces/imseldrith/myDeepFakeAI/facefusion/normalizer.py
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curl -L -o normalizer.py https://huggingface.co/spaces/imseldrith/myDeepFakeAI/resolve/main/facefusion/normalizer.py
1.66 kB
| from typing import List, Optional | |
| import os | |
| from facefusion.filesystem import is_file, is_directory | |
| from facefusion.typing import Padding | |
| def normalize_output_path(source_paths : List[str], target_path : str, output_path : str) -> Optional[str]: | |
| if is_file(target_path) and is_directory(output_path): | |
| target_name, target_extension = os.path.splitext(os.path.basename(target_path)) | |
| if source_paths and is_file(source_paths[0]): | |
| source_name, _ = os.path.splitext(os.path.basename(source_paths[0])) | |
| return os.path.join(output_path, source_name + '-' + target_name + target_extension) | |
| return os.path.join(output_path, target_name + target_extension) | |
| if is_file(target_path) and output_path: | |
| _, target_extension = os.path.splitext(os.path.basename(target_path)) | |
| output_name, output_extension = os.path.splitext(os.path.basename(output_path)) | |
| output_directory_path = os.path.dirname(output_path) | |
| if is_directory(output_directory_path) and output_extension: | |
| return os.path.join(output_directory_path, output_name + target_extension) | |
| return None | |
| return output_path | |
| def normalize_padding(padding : Optional[List[int]]) -> Optional[Padding]: | |
| if padding and len(padding) == 1: | |
| return tuple([ padding[0], padding[0], padding[0], padding[0] ]) # type: ignore[return-value] | |
| if padding and len(padding) == 2: | |
| return tuple([ padding[0], padding[1], padding[0], padding[1] ]) # type: ignore[return-value] | |
| if padding and len(padding) == 3: | |
| return tuple([ padding[0], padding[1], padding[2], padding[1] ]) # type: ignore[return-value] | |
| if padding and len(padding) == 4: | |
| return tuple(padding) # type: ignore[return-value] | |
| return None | |