mirror of
https://github.com/deepfakes/faceswap
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* Extract - Implement aligner re-feeding - Add extract type to pipeline.ExtractMedia - Add pose annotation to debug * Convert - implement centering - remove usage of feed and reference face properties - Remove distributed option from convert - Force update of alignments file on legacy receive * Train - Resize preview image to model output size - Force legacy centering if centering does not exist in model's state file - Enable training on legacy face sets * Alignments Tool - Update draw to include head/pose - Remove DFL drop + linting - Remove remove-frames job - remove align-eyes option - Update legacy masks to new extract type - Exit if attempting to merge version 1.0 alignments files with version 2.0 alignments files - Re-generate thumbnails on legacy upgrade * Mask Tool - Update for new extract + bugfix full frame * Manual Tool - Update to new extraction method - Disable legacy alignments, - extract box bugfix - extract faces - size to 512 and center on head * Preview Tool - Display based on model centering * Sort Tool - Use alignments for sort by face * lib.aligner - Add Pose Class - Add AlignedFace Class - center _MEAN_FACE on x - Add meta information with versioning to alignments file - lib.aligner.get_align_matrix to use landmarks not face - Refactor aligned faces in lib.faces_detect * lib.logger - larger file log padding * lib.config - Fix global changeable_items * lib.face_filter - Use new extracted face images * lib.image - bump thumbnail default size to 96px
135 lines
7.2 KiB
Python
135 lines
7.2 KiB
Python
#!/usr/bin/env python3
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""" Command Line Arguments for tools """
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from lib.cli.args import FaceSwapArgs
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from lib.cli.actions import DirOrFileFullPaths, DirFullPaths, FilesFullPaths, Radio, Slider
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_HELPTEXT = "This command lets you perform various tasks pertaining to an alignments file."
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class AlignmentsArgs(FaceSwapArgs):
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""" Class to parse the command line arguments for Alignments tool """
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@staticmethod
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def get_info():
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""" Return command information """
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return ("Alignments tool\nThis tool allows you to perform numerous actions on or using an "
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"alignments file against its corresponding faceset/frame source.")
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def get_argument_list(self):
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frames_dir = " Must Pass in a frames folder/source video file (-fr)."
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faces_dir = " Must Pass in a faces folder (-fc)."
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frames_or_faces_dir = (" Must Pass in either a frames folder/source video file OR a"
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"faces folder (-fr or -fc).")
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frames_and_faces_dir = (" Must Pass in a frames folder/source video file AND a faces "
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"folder (-fr and -fc).")
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output_opts = " Use the output option (-o) to process results."
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argument_list = list()
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argument_list.append(dict(
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opts=("-j", "--job"),
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action=Radio,
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type=str,
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choices=("draw", "extract", "merge", "missing-alignments", "missing-frames",
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"leftover-faces", "multi-faces", "no-faces", "remove-faces", "rename", "sort",
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"spatial", "update-hashes"),
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required=True,
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help="R|Choose which action you want to perform. NB: All actions require an "
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"alignments file (-a) to be passed in."
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"\nL|'draw': Draw landmarks on frames in the selected folder/video. A subfolder "
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"will be created within the frames folder to hold the output.{0}"
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"\nL|'extract': Re-extract faces from the source frames/video based on alignment "
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"data. This is a lot quicker than re-detecting faces. Can pass in the '-een' "
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"(--extract-every-n) parameter to only extract every nth frame.{1}"
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"\nL|'merge': Merge multiple alignment files into one. Specify a space separated "
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"list of alignments files with the -a flag. Optionally specify a faces (-fc) "
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"folder to filter the final alignments file to only those faces that appear "
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"within the provided folder."
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"\nL|'missing-alignments': Identify frames that do not exist in the alignments "
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"file.{2}{0}"
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"\nL|'missing-frames': Identify frames in the alignments file that do not appear "
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"within the frames folder/video.{2}{0}"
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"\nL|'leftover-faces': Identify faces in the faces folder that do not exist in "
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"the alignments file.{2}{3}"
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"\nL|'multi-faces': Identify where multiple faces exist within the alignments "
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"file.{2}{4}"
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"\nL|'no-faces': Identify frames that exist within the alignment file but no "
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"faces were detected.{2}{0}"
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"\nL|'remove-faces': Remove deleted faces from an alignments file. The original "
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"alignments file will be backed up.{3}"
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"\nL|'rename' - Rename faces to correspond with their parent frame and position "
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"index in the alignments file (i.e. how they are named after running extract).{3}"
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"\nL|'sort': Re-index the alignments from left to right. For alignments with "
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"multiple faces this will ensure that the left-most face is at index 0 "
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"Optionally pass in a faces folder (-fc) to also rename extracted faces."
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"\nL|'spatial': Perform spatial and temporal filtering to smooth alignments "
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"(EXPERIMENTAL!)"
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"\nL|'update-hashes': Recalculate the face hashes. Only use this if you have "
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"altered the extracted faces (e.g. colour adjust). The files MUST be named "
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"'<frame_name>_face index' (i.e. how they are named after running extract)."
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"{3}".format(frames_dir, frames_and_faces_dir, output_opts, faces_dir,
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frames_or_faces_dir)))
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argument_list.append(dict(
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opts=("-a", "--alignments_file"),
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action=FilesFullPaths,
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dest="alignments_file",
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nargs="+",
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group="data",
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required=True,
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filetypes="alignments",
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help="Full path to the alignments file to be processed. If merging alignments, then "
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"multiple files can be selected, space separated"))
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argument_list.append(dict(
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opts=("-fc", "-faces_folder"),
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action=DirFullPaths,
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dest="faces_dir",
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group="data",
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help="Directory containing extracted faces."))
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argument_list.append(dict(
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opts=("-fr", "-frames_folder"),
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action=DirOrFileFullPaths,
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dest="frames_dir",
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filetypes="video",
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group="data",
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help="Directory containing source frames that faces were extracted from."))
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argument_list.append(dict(
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opts=("-o", "--output"),
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action=Radio,
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type=str,
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choices=("console", "file", "move"),
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group="processing",
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default="console",
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help="R|How to output discovered items ('faces' and 'frames' only):"
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"\nL|'console': Print the list of frames to the screen. (DEFAULT)"
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"\nL|'file': Output the list of frames to a text file (stored within the source "
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"directory)."
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"\nL|'move': Move the discovered items to a sub-folder within the source "
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"directory."))
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argument_list.append(dict(
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opts=("-een", "--extract-every-n"),
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type=int,
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action=Slider,
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dest="extract_every_n",
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min_max=(1, 100),
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default=1,
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rounding=1,
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group="extract",
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help="[Extract only] Extract every 'nth' frame. This option will skip frames when "
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"extracting faces. For example a value of 1 will extract faces from every frame, "
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"a value of 10 will extract faces from every 10th frame."))
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argument_list.append(dict(
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opts=("-sz", "--size"),
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type=int,
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action=Slider,
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min_max=(256, 1024),
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default=512,
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group="extract",
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rounding=64,
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help="[Extract only] The output size of extracted faces."))
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argument_list.append(dict(
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opts=("-l", "--large"),
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action="store_true",
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group="extract",
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default=False,
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help="[Extract only] Only extract faces that have not been upscaled to the required "
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"size (`-sz`, `--size). Useful for excluding low-res images from a training "
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"set."))
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return argument_list
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