diff --git a/core/leras/device.py b/core/leras/device.py index a2ba371..f4a1817 100644 --- a/core/leras/device.py +++ b/core/leras/device.py @@ -68,6 +68,8 @@ class Devices(object): return None def get_devices_from_index_list(self, idx_list): + if not isinstance(idx_list, list): + idx_list = [int(idx.strip()) for idx in idx_list.split(',')] result = [] for device in self.devices: if device.index in idx_list: diff --git a/main.py b/main.py index b821910..8eb02cf 100644 --- a/main.py +++ b/main.py @@ -1,4 +1,5 @@ if __name__ == "__main__": + # Fix for linux import multiprocessing multiprocessing.set_start_method("spawn") @@ -68,26 +69,26 @@ if __name__ == "__main__": from mainscripts import Sorter Sorter.main (input_path=Path(arguments.input_dir), sort_by_method=arguments.sort_by_method) - p = subparsers.add_parser( "sort", help="Sort faces in a directory.") + p = subparsers.add_parser("sort", help="Sort faces in a directory.") p.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory. A directory containing the files you wish to process.") p.add_argument('--by', dest="sort_by_method", default=None, choices=("blur", "motion-blur", "face-yaw", "face-pitch", "face-source-rect-size", "hist", "hist-dissim", "brightness", "hue", "black", "origname", "oneface", "final-by-blur", "final-by-size", "absdiff"), help="Method of sorting. 'origname' sort by original filename to recover original sequence." ) - p.set_defaults (func=process_sort) + p.set_defaults(func=process_sort) def process_util(arguments): osex.set_process_lowest_prio() from mainscripts import Util if arguments.add_landmarks_debug_images: - Util.add_landmarks_debug_images (input_path=arguments.input_dir) + Util.add_landmarks_debug_images(input_path=arguments.input_dir) if arguments.recover_original_aligned_filename: - Util.recover_original_aligned_filename (input_path=arguments.input_dir) + Util.recover_original_aligned_filename(input_path=arguments.input_dir) if arguments.save_faceset_metadata: - Util.save_faceset_metadata_folder (input_path=arguments.input_dir) + Util.save_faceset_metadata_folder(input_path=arguments.input_dir) if arguments.restore_faceset_metadata: - Util.restore_faceset_metadata_folder (input_path=arguments.input_dir) + Util.restore_faceset_metadata_folder(input_path=arguments.input_dir) if arguments.pack_faceset: io.log_info ("Performing faceset packing...\r\n") @@ -97,11 +98,11 @@ if __name__ == "__main__": if arguments.unpack_faceset: io.log_info ("Performing faceset unpacking...\r\n") from samplelib import PackedFaceset - PackedFaceset.unpack( Path(arguments.input_dir) ) + PackedFaceset.unpack(Path(arguments.input_dir)) if arguments.export_faceset_mask: - io.log_info ("Exporting faceset mask..\r\n") - Util.export_faceset_mask( Path(arguments.input_dir) ) + io.log_info("Exporting faceset mask..\r\n") + Util.export_faceset_mask(Path(arguments.input_dir)) p = subparsers.add_parser( "util", help="Utilities.") p.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory. A directory containing the files you wish to process.") @@ -113,7 +114,7 @@ if __name__ == "__main__": p.add_argument('--unpack-faceset', action="store_true", dest="unpack_faceset", default=False, help="") p.add_argument('--export-faceset-mask', action="store_true", dest="export_faceset_mask", default=False, help="") - p.set_defaults (func=process_util) + p.set_defaults(func=process_util) def process_train(arguments): osex.set_process_lowest_prio() @@ -127,41 +128,40 @@ if __name__ == "__main__": 'pretrained_model_path' : Path(arguments.pretrained_model_dir) if arguments.pretrained_model_dir is not None else None, 'no_preview' : arguments.no_preview, 'force_model_name' : arguments.force_model_name, - 'force_gpu_idxs' : [ int(x) for x in arguments.force_gpu_idxs.split(',') ] if arguments.force_gpu_idxs is not None else None, + 'force_gpu_idxs' : [int(x) for x in arguments.force_gpu_idxs.split(',')] if arguments.force_gpu_idxs is not None else None, 'cpu_only' : arguments.cpu_only, 'silent_start' : arguments.silent_start, - 'execute_programs' : [ [int(x[0]), x[1] ] for x in arguments.execute_program ], + 'execute_programs' : [[int(x[0]), x[1] ] for x in arguments.execute_program], 'debug' : arguments.debug, } from mainscripts import Trainer Trainer.main(**kwargs) - p = subparsers.add_parser( "train", help="Trainer") + p = subparsers.add_parser("train", help="Trainer") p.add_argument('--training-data-src-dir', required=True, action=fixPathAction, dest="training_data_src_dir", help="Dir of extracted SRC faceset.") p.add_argument('--training-data-dst-dir', required=True, action=fixPathAction, dest="training_data_dst_dir", help="Dir of extracted DST faceset.") p.add_argument('--pretraining-data-dir', action=fixPathAction, dest="pretraining_data_dir", default=None, help="Optional dir of extracted faceset that will be used in pretraining mode.") p.add_argument('--pretrained-model-dir', action=fixPathAction, dest="pretrained_model_dir", default=None, help="Optional dir of pretrain model files. (Currently only for Quick96).") p.add_argument('--model-dir', required=True, action=fixPathAction, dest="model_dir", help="Saved models dir.") - p.add_argument('--model', required=True, dest="model_name", choices=pathex.get_all_dir_names_startswith ( Path(__file__).parent / 'models' , 'Model_'), help="Model class name.") + p.add_argument('--model', required=True, dest="model_name", choices=pathex.get_all_dir_names_startswith(Path(__file__).parent / 'models', 'Model_'), help="Model class name.") p.add_argument('--debug', action="store_true", dest="debug", default=False, help="Debug samples.") p.add_argument('--no-preview', action="store_true", dest="no_preview", default=False, help="Disable preview window.") p.add_argument('--force-model-name', dest="force_model_name", default=None, help="Forcing to choose model name from model/ folder.") p.add_argument('--cpu-only', action="store_true", dest="cpu_only", default=False, help="Train on CPU.") p.add_argument('--force-gpu-idxs', dest="force_gpu_idxs", default=None, help="Force to choose GPU indexes separated by comma.") p.add_argument('--silent-start', action="store_true", dest="silent_start", default=False, help="Silent start. Automatically chooses Best GPU and last used model.") - p.add_argument('--execute-program', dest="execute_program", default=[], action='append', nargs='+') - p.set_defaults (func=process_train) + p.set_defaults(func=process_train) def process_exportdfm(arguments): osex.set_process_lowest_prio() from mainscripts import ExportDFM - ExportDFM.main(model_class_name = arguments.model_name, saved_models_path = Path(arguments.model_dir)) + ExportDFM.main(model_class_name=arguments.model_name, saved_models_path=Path(arguments.model_dir)) p = subparsers.add_parser( "exportdfm", help="Export model to use in DeepFaceLive.") p.add_argument('--model-dir', required=True, action=fixPathAction, dest="model_dir", help="Saved models dir.") - p.add_argument('--model', required=True, dest="model_name", choices=pathex.get_all_dir_names_startswith ( Path(__file__).parent / 'models' , 'Model_'), help="Model class name.") - p.set_defaults (func=process_exportdfm) + p.add_argument('--model', required=True, dest="model_name", choices=pathex.get_all_dir_names_startswith(Path(__file__).parent / 'models' , 'Model_'), help="Model class name.") + p.set_defaults(func=process_exportdfm) def process_merge(arguments): osex.set_process_lowest_prio() @@ -188,13 +188,13 @@ if __name__ == "__main__": p.add_argument('--force-gpu-idxs', dest="force_gpu_idxs", default=None, help="Force to choose GPU indexes separated by comma.") p.set_defaults(func=process_merge) - videoed_parser = subparsers.add_parser( "videoed", help="Video processing.").add_subparsers() + videoed_parser = subparsers.add_parser("videoed", help="Video processing.").add_subparsers() def process_videoed_extract_video(arguments): osex.set_process_lowest_prio() from mainscripts import VideoEd - VideoEd.extract_video (arguments.input_file, arguments.output_dir, arguments.output_ext, arguments.fps) - p = videoed_parser.add_parser( "extract-video", help="Extract images from video file.") + VideoEd.extract_video(arguments.input_file, arguments.output_dir, arguments.output_ext, arguments.fps) + p = videoed_parser.add_parser("extract-video", help="Extract images from video file.") p.add_argument('--input-file', required=True, action=fixPathAction, dest="input_file", help="Input file to be processed. Specify .*-extension to find first file.") p.add_argument('--output-dir', required=True, action=fixPathAction, dest="output_dir", help="Output directory. This is where the extracted images will be stored.") p.add_argument('--output-ext', dest="output_ext", default=None, help="Image format (extension) of output files.") diff --git a/requirements-cuda.txt b/requirements-cuda.txt index b70520d..dd91417 100644 --- a/requirements-cuda.txt +++ b/requirements-cuda.txt @@ -1,12 +1,13 @@ -tqdm -numpy==1.19.3 -numexpr -h5py==2.10.0 -opencv-python==4.1.0.25 -ffmpeg-python==0.1.17 -scikit-image==0.14.2 -scipy==1.4.1 colorama -tensorflow-gpu==2.4.0 +cython==0.29.25 +ffmpeg-python==0.1.17 +h5py==2.10.0 +numpy==1.20.1 +numexpr +opencv-python==4.1.2.30 pyqt5 -tf2onnx==1.9.3 \ No newline at end of file +scikit-image==0.18.3 +scipy==1.10.1 +tensorflow-gpu==2.4.1 +tf2onnx==1.9.3 +tqdm \ No newline at end of file