mirror of
https://github.com/deepfakes/faceswap
synced 2025-06-07 10:43:27 -04:00
cd00859c40
* model_refactor (#571) * original model to new structure * IAE model to new structure * OriginalHiRes to new structure * Fix trainer for different resolutions * Initial config implementation * Configparse library added * improved training data loader * dfaker model working * Add logging to training functions * Non blocking input for cli training * Add error handling to threads. Add non-mp queues to queue_handler * Improved Model Building and NNMeta * refactor lib/models * training refactor. DFL H128 model Implementation * Dfaker - use hashes * Move timelapse. Remove perceptual loss arg * Update INSTALL.md. Add logger formatting. Update Dfaker training * DFL h128 partially ported * Add mask to dfaker (#573) * Remove old models. Add mask to dfaker * dfl mask. Make masks selectable in config (#575) * DFL H128 Mask. Mask type selectable in config. * remove gan_v2_2 * Creating Input Size config for models Creating Input Size config for models Will be used downstream in converters. Also name change of image_shape to input_shape to clarify ( for future models with potentially different output_shapes) * Add mask loss options to config * MTCNN options to config.ini. Remove GAN config. Update USAGE.md * Add sliders for numerical values in GUI * Add config plugins menu to gui. Validate config * Only backup model if loss has dropped. Get training working again * bugfixes * Standardise loss printing * GUI idle cpu fixes. Graph loss fix. * mutli-gpu logging bugfix * Merge branch 'staging' into train_refactor * backup state file * Crash protection: Only backup if both total losses have dropped * Port OriginalHiRes_RC4 to train_refactor (OriginalHiRes) * Load and save model structure with weights * Slight code update * Improve config loader. Add subpixel opt to all models. Config to state * Show samples... wrong input * Remove AE topology. Add input/output shapes to State * Port original_villain (birb/VillainGuy) model to faceswap * Add plugin info to GUI config pages * Load input shape from state. IAE Config options. * Fix transform_kwargs. Coverage to ratio. Bugfix mask detection * Suppress keras userwarnings. Automate zoom. Coverage_ratio to model def. * Consolidation of converters & refactor (#574) * Consolidation of converters & refactor Initial Upload of alpha Items - consolidate convert_mased & convert_adjust into one converter -add average color adjust to convert_masked -allow mask transition blur size to be a fixed integer of pixels and a fraction of the facial mask size -allow erosion/dilation size to be a fixed integer of pixels and a fraction of the facial mask size -eliminate redundant type conversions to avoid multiple round-off errors -refactor loops for vectorization/speed -reorganize for clarity & style changes TODO - bug/issues with warping the new face onto a transparent old image...use a cleanup mask for now - issues with mask border giving black ring at zero erosion .. investigate - remove GAN ?? - test enlargment factors of umeyama standard face .. match to coverage factor - make enlargment factor a model parameter - remove convert_adjusted and referencing code when finished * Update Convert_Masked.py default blur size of 2 to match original... description of enlargement tests breakout matrxi scaling into def * Enlargment scale as a cli parameter * Update cli.py * dynamic interpolation algorithm Compute x & y scale factors from the affine matrix on the fly by QR decomp. Choose interpolation alogrithm for the affine warp based on an upsample or downsample for each image * input size input size from config * fix issues with <1.0 erosion * Update convert.py * Update Convert_Adjust.py more work on the way to merginf * Clean up help note on sharpen * cleanup seamless * Delete Convert_Adjust.py * Update umeyama.py * Update training_data.py * swapping * segmentation stub * changes to convert.str * Update masked.py * Backwards compatibility fix for models Get converter running * Convert: Move masks to class. bugfix blur_size some linting * mask fix * convert fixes - missing facehull_rect re-added - coverage to % - corrected coverage logic - cleanup of gui option ordering * Update cli.py * default for blur * Update masked.py * added preliminary low_mem version of OriginalHighRes model plugin * Code cleanup, minor fixes * Update masked.py * Update masked.py * Add dfl mask to convert * histogram fix & seamless location * update * revert * bugfix: Load actual configuration in gui * Standardize nn_blocks * Update cli.py * Minor code amends * Fix Original HiRes model * Add masks to preview output for mask trainers refactor trainer.__base.py * Masked trainers converter support * convert bugfix * Bugfix: Converter for masked (dfl/dfaker) trainers * Additional Losses (#592) * initial upload * Delete blur.py * default initializer = He instead of Glorot (#588) * Allow kernel_initializer to be overridable * Add ICNR Initializer option for upscale on all models. * Hopefully fixes RSoDs with original-highres model plugin * remove debug line * Original-HighRes model plugin Red Screen of Death fix, take #2 * Move global options to _base. Rename Villain model * clipnorm and res block biases * scale the end of res block * res block * dfaker pre-activation res * OHRES pre-activation * villain pre-activation * tabs/space in nn_blocks * fix for histogram with mask all set to zero * fix to prevent two networks with same name * GUI: Wider tooltips. Improve TQDM capture * Fix regex bug * Convert padding=48 to ratio of image size * Add size option to alignments tool extract * Pass through training image size to convert from model * Convert: Pull training coverage from model * convert: coverage, blur and erode to percent * simplify matrix scaling * ordering of sliders in train * Add matrix scaling to utils. Use interpolation in lib.aligner transform * masked.py Import get_matrix_scaling from utils * fix circular import * Update masked.py * quick fix for matrix scaling * testing thus for now * tqdm regex capture bugfix * Minor ammends * blur size cleanup * Remove coverage option from convert (Now cascades from model) * Implement convert for all model types * Add mask option and coverage option to all existing models * bugfix for model loading on convert * debug print removal * Bugfix for masks in dfl_h128 and iae * Update preview display. Add preview scaling to cli * mask notes * Delete training_data_v2.py errant file * training data variables * Fix timelapse function * Add new config items to state file for legacy purposes * Slight GUI tweak * Raise exception if problem with loaded model * Add Tensorboard support (Logs stored in model directory) * ICNR fix * loss bugfix * convert bugfix * Move ini files to config folder. Make TensorBoard optional * Fix training data for unbalanced inputs/outputs * Fix config "none" test * Keep helptext in .ini files when saving config from GUI * Remove frame_dims from alignments * Add no-flip and warp-to-landmarks cli options * Revert OHR to RC4_fix version * Fix lowmem mode on OHR model * padding to variable * Save models in parallel threads * Speed-up of res_block stability * Automated Reflection Padding * Reflect Padding as a training option Includes auto-calculation of proper padding shapes, input_shapes, output_shapes Flag included in config now * rest of reflect padding * Move TB logging to cli. Session info to state file * Add session iterations to state file * Add recent files to menu. GUI code tidy up * [GUI] Fix recent file list update issue * Add correct loss names to TensorBoard logs * Update live graph to use TensorBoard and remove animation * Fix analysis tab. GUI optimizations * Analysis Graph popup to Tensorboard Logs * [GUI] Bug fix for graphing for models with hypens in name * [GUI] Correctly split loss to tabs during training * [GUI] Add loss type selection to analysis graph * Fix store command name in recent files. Switch to correct tab on open * [GUI] Disable training graph when 'no-logs' is selected * Fix graphing race condition * rename original_hires model to unbalanced
497 lines
28 KiB
Python
497 lines
28 KiB
Python
#!/usr/bin/env python3
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""" Command Line Arguments for tools """
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from lib.cli import FaceSwapArgs
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from lib.cli import (ContextFullPaths, DirFullPaths,
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FileFullPaths, SaveFileFullPaths, Slider)
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from lib.utils import _image_extensions
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class AlignmentsArgs(FaceSwapArgs):
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""" Class to parse the command line arguments for Aligments tool """
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def get_argument_list(self):
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frames_dir = "\n\tMust Pass in a frames folder/source video file (-fr)."
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faces_dir = "\n\tMust Pass in a faces folder (-fc)."
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frames_or_faces_dir = ("\n\tMust Pass in either a frames folder/source video file OR a"
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"\n\tfaces folder (-fr or -fc).")
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frames_and_faces_dir = ("\n\tMust Pass in a frames folder/source video file AND a faces "
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"\n\tfolder (-fr and -fc).")
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output_opts = "\n\tUse the output option (-o) to process results."
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align_eyes = "\n\tCan optionally use the align-eyes switch (-ae)."
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argument_list = list()
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argument_list.append({
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"opts": ("-j", "--job"),
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"type": str,
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"choices": ("draw", "extract", "extract-large", "manual", "merge",
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"missing-alignments", "missing-frames", "legacy", "leftover-faces",
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"multi-faces", "no-faces", "reformat", "remove-faces", "remove-frames",
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"rename", "sort-x", "sort-y", "spatial", "update-hashes"),
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"required": True,
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"help": "R|Choose which action you want to perform.\n"
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"NB: All actions require an alignments file (-a) to be passed in."
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"\n'draw': Draw landmarks on frames in the selected folder/video. A subfolder"
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"\n\twill be created within the frames folder to hold the output." +
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frames_dir + align_eyes +
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"\n'extract': Re-extract faces from the source frames/video based on "
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"\n\talignment data. This is a lot quicker than re-detecting faces." +
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frames_and_faces_dir + align_eyes +
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"\n'extract-large' - Extract all faces that have not been upscaled. Useful"
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"\n\tfor excluding low-res images from a training set." +
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frames_and_faces_dir + align_eyes +
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"\n'manual': Manually view and edit landmarks." + frames_dir + align_eyes +
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"\n'merge': Merge multiple alignment files into one. Specify the main"
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"\n\talignments file with the -a flag and the file to be merged with the"
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"\n\t-a2 flag."
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"\n'missing-alignments': Identify frames that do not exist in the alignments"
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"\n\tfile." + output_opts + frames_dir +
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"\n'missing-frames': Identify frames in the alignments file that do no "
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"\n\tappear within the frames folder/video." + output_opts + frames_dir +
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"\n'legacy': This updates legacy alignments to the latest format by rotating"
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"\n\tthe landmarks and bounding boxes and adding face_hashes." +
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frames_and_faces_dir +
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"\n'leftover-faces': Identify faces in the faces folder that do not exist in"
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"\n\tthe alignments file." + output_opts + faces_dir +
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"\n'multi-faces': Identify where multiple faces exist within the alignments"
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"\n\tfile." + output_opts + frames_or_faces_dir +
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"\n'no-faces': Identify frames that exist within the alignment file but no"
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"\n\tfaces were detected." + output_opts + frames_dir +
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"\n'reformat': Save a copy of alignments file in a different format. Specify"
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"\n\ta format with the -fmt option."
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"\n\tAlignments can be converted from DeepFaceLab by specifing:"
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"\n\t -a dfl"
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"\n\t -fc <source faces folder>"
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"\n'remove-faces': Remove deleted faces from an alignments file. The original"
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"\n\talignments file will be backed up. A different file format for the"
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"\n\talignments file can optionally be specified (-fmt)." + faces_dir +
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"\n'remove-frames': Remove deleted frames from an alignments file. The"
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"\n\toriginal alignments file will be backed up. A different file format for"
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"\n\tthe alignments file can optionally be specified (-fmt)." + frames_dir +
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"\n'rename' - Rename faces to correspond with their parent frame and position"
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"\n\tindex in the alignments file (i.e. how they are named after running"
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"\n\textract)." + faces_dir +
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"\n'sort-x': Re-index the alignments from left to right. For alignments with"
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"\n\tmultiple faces this will ensure that the left-most face is at index 0"
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"\n\tOptionally pass in a faces folder (-fc) to also rename extracted faces."
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"\n'sort-y': Re-index the alignments from top to bottom. For alignments with"
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"\n\tmultiple faces this will ensure that the top-most face is at index 0"
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"\n\tOptionally pass in a faces folder (-fc) to also rename extracted faces."
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"\n'spatial': Perform spatial and temporal filtering to smooth alignments"
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"\n\t(EXPERIMENTAL!)"
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"\n'update-hashes': Recalculate the face hashes. Only use this if you have "
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"\n\taltered the extracted faces (e.g. colour adjust). The files MUST be "
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"\n\tnamed '<frame_name>_face index' (i.e. how they are named after running"
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"\n\textract)." + faces_dir})
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argument_list.append({"opts": ("-a", "--alignments_file"),
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"action": FileFullPaths,
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"dest": "alignments_file",
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"required": True,
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"filetypes": "alignments",
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"help": "Full path to the alignments "
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"file to be processed."})
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argument_list.append({"opts": ("-a2", "--alignments_file2"),
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"action": FileFullPaths,
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"dest": "alignments_file2",
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"required": False,
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"filetypes": "alignments",
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"help": "Full path to the alignments file to "
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"be merged into the main alignments "
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"file (merge only)"})
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argument_list.append({"opts": ("-fc", "-faces_folder"),
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"action": DirFullPaths,
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"dest": "faces_dir",
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"help": "Directory containing extracted faces."})
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argument_list.append({"opts": ("-fr", "-frames_folder"),
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"action": DirFullPaths,
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"dest": "frames_dir",
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"help": "Directory containing source frames "
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"that faces were extracted from."})
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argument_list.append({"opts": ("-fmt", "--alignment_format"),
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"type": str,
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"choices": ("json", "pickle", "yaml"),
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"help": "The file format to save the alignment "
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"data in. Defaults to same as source."})
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argument_list.append({
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"opts": ("-o", "--output"),
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"type": str,
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"choices": ("console", "file", "move"),
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"default": "console",
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"help": "R|How to output discovered items ('faces' and"
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"\n'frames' only):"
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"\n'console': Print the list of frames to the screen. (DEFAULT)"
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"\n'file': Output the list of frames to a text file (stored within the source"
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"\n\tdirectory)."
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"\n'move': Move the discovered items to a sub-folder within the source"
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"\n\tdirectory."})
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argument_list.append({"opts": ("-sz", "--size"),
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"type": int,
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"action": Slider,
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"min_max": (128, 512),
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"default": 256,
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"rounding": 64,
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"help": "The output size of extracted faces. (extract only)"})
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argument_list.append({"opts": ("-ae", "--align-eyes"),
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"action": "store_true",
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"dest": "align_eyes",
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"default": False,
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"help": "Perform extra alignment to ensure "
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"left/right eyes are at the same "
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"height. (Draw, Extract and manual "
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"only)"})
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argument_list.append({"opts": ("-dm", "--disable-monitor"),
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"action": "store_true",
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"dest": "disable_monitor",
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"default": False,
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"help": "Enable this option if manual "
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"alignments window is closing "
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"instantly. (Manual only)"})
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return argument_list
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class EffmpegArgs(FaceSwapArgs):
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""" Class to parse the command line arguments for EFFMPEG tool """
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@staticmethod
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def __parse_transpose(value):
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index = 0
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opts = ["(0, 90CounterClockwise&VerticalFlip)",
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"(1, 90Clockwise)",
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"(2, 90CounterClockwise)",
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"(3, 90Clockwise&VerticalFlip)"]
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if len(value) == 1:
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index = int(value)
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else:
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for i in range(5):
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if value in opts[i]:
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index = i
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break
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return opts[index]
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def get_argument_list(self):
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argument_list = list()
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argument_list.append({"opts": ('-a', '--action'),
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"dest": "action",
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"choices": ("extract", "gen-vid", "get-fps",
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"get-info", "mux-audio", "rescale",
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"rotate", "slice"),
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"default": "extract",
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"help": "Choose which action you want ffmpeg "
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"ffmpeg to do.\n"
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"'slice' cuts a portion of the video "
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"into a separate video file.\n"
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"'get-fps' returns the chosen video's "
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"fps."})
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argument_list.append({"opts": ('-i', '--input'),
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"action": ContextFullPaths,
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"dest": "input",
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"default": "input",
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"help": "Input file.",
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"required": True,
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"action_option": "-a",
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"filetypes": "video"})
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argument_list.append({"opts": ('-o', '--output'),
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"action": ContextFullPaths,
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"dest": "output",
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"default": "",
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"help": "Output file. If no output is "
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"specified then: if the output is "
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"meant to be a video then a video "
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"called 'out.mkv' will be created in "
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"the input directory; if the output is "
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"meant to be a directory then a "
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"directory called 'out' will be "
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"created inside the input "
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"directory.\n"
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"Note: the chosen output file "
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"extension will determine the file "
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"encoding.",
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"action_option": "-a",
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"filetypes": "video"})
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argument_list.append({"opts": ('-r', '--reference-video'),
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"action": FileFullPaths,
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"dest": "ref_vid",
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"default": None,
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"help": "Path to reference video if 'input' "
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"was not a video.",
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"filetypes": "video"})
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argument_list.append({"opts": ('-fps', '--fps'),
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"type": str,
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"dest": "fps",
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"default": "-1.0",
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"help": "Provide video fps. Can be an integer, "
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"float or fraction. Negative values "
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"will make the program try to get the "
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"fps from the input or reference "
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"videos."})
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argument_list.append({"opts": ("-ef", "--extract-filetype"),
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"choices": _image_extensions,
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"dest": "extract_ext",
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"default": ".png",
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"help": "Image format that extracted images "
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"should be saved as. '.bmp' will offer "
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"the fastest extraction speed, but "
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"will take the most storage space. "
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"'.png' will be slower but will take "
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"less storage."})
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argument_list.append({"opts": ('-s', '--start'),
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"type": str,
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"dest": "start",
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"default": "00:00:00",
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"help": "Enter the start time from which an "
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"action is to be applied.\n"
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"Default: 00:00:00, in HH:MM:SS "
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"format. You can also enter the time "
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"with or without the colons, e.g. "
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"00:0000 or 026010."})
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argument_list.append({"opts": ('-e', '--end'),
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"type": str,
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"dest": "end",
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"default": "00:00:00",
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"help": "Enter the end time to which an action "
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"is to be applied. If both an end time "
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"and duration are set, then the end "
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"time will be used and the duration "
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"will be ignored.\n"
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"Default: 00:00:00, in HH:MM:SS."})
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argument_list.append({"opts": ('-d', '--duration'),
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"type": str,
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"dest": "duration",
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"default": "00:00:00",
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"help": "Enter the duration of the chosen "
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"action, for example if you enter "
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"00:00:10 for slice, then the first 10 "
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"seconds after and including the start "
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"time will be cut out into a new "
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"video.\n"
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"Default: 00:00:00, in HH:MM:SS "
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"format. You can also enter the time "
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"with or without the colons, e.g. "
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"00:0000 or 026010."})
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argument_list.append({"opts": ('-m', '--mux-audio'),
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"action": "store_true",
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"dest": "mux_audio",
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"default": False,
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"help": "Mux the audio from the reference "
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"video into the input video. This "
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"option is only used for the 'gen-vid' "
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"action. 'mux-audio' action has this "
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"turned on implicitly."})
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argument_list.append(
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{"opts": ('-tr', '--transpose'),
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"choices": ("(0, 90CounterClockwise&VerticalFlip)",
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"(1, 90Clockwise)",
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"(2, 90CounterClockwise)",
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"(3, 90Clockwise&VerticalFlip)"),
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"type": lambda v: self.__parse_transpose(v),
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"dest": "transpose",
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"default": None,
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"help": "Transpose the video. If transpose is "
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"set, then degrees will be ignored. For "
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"cli you can enter either the number "
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"or the long command name, "
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"e.g. to use (1, 90Clockwise) "
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"-tr 1 or -tr 90Clockwise"})
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argument_list.append({"opts": ('-de', '--degrees'),
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"type": str,
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"dest": "degrees",
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"default": None,
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"help": "Rotate the video clockwise by the "
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"given number of degrees."})
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argument_list.append({"opts": ('-sc', '--scale'),
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"type": str,
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"dest": "scale",
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"default": "1920x1080",
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"help": "Set the new resolution scale if the "
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"chosen action is 'rescale'."})
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argument_list.append({"opts": ('-pr', '--preview'),
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"action": "store_true",
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"dest": "preview",
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"default": False,
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"help": "Uses ffplay to preview the effects of "
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"actions that have a video output. "
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"Currently preview does not work when "
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"muxing audio."})
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argument_list.append({"opts": ('-q', '--quiet'),
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"action": "store_true",
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"dest": "quiet",
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"default": False,
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"help": "Reduces output verbosity so that only "
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"serious errors are printed. If both "
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"quiet and verbose are set, verbose "
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"will override quiet."})
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argument_list.append({"opts": ('-v', '--verbose'),
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"action": "store_true",
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"dest": "verbose",
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"default": False,
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|
"help": "Increases output verbosity. If both "
|
|
"quiet and verbose are set, verbose "
|
|
"will override quiet."})
|
|
|
|
return argument_list
|
|
|
|
|
|
class SortArgs(FaceSwapArgs):
|
|
""" Class to parse the command line arguments for sort tool """
|
|
|
|
@staticmethod
|
|
def get_argument_list():
|
|
""" Put the arguments in a list so that they are accessible from both
|
|
argparse and gui """
|
|
argument_list = list()
|
|
argument_list.append({"opts": ('-i', '--input'),
|
|
"action": DirFullPaths,
|
|
"dest": "input_dir",
|
|
"default": "input_dir",
|
|
"help": "Input directory of aligned faces.",
|
|
"required": True})
|
|
|
|
argument_list.append({"opts": ('-o', '--output'),
|
|
"action": DirFullPaths,
|
|
"dest": "output_dir",
|
|
"default": "_output_dir",
|
|
"help": "Output directory for sorted aligned "
|
|
"faces."})
|
|
|
|
argument_list.append({"opts": ('-fp', '--final-process'),
|
|
"type": str,
|
|
"choices": ("folders", "rename"),
|
|
"dest": 'final_process',
|
|
"default": "rename",
|
|
"help": "R|\n'folders': files are sorted using "
|
|
"the -s/--sort-by\n\tmethod, then they "
|
|
"are organized into\n\tfolders using "
|
|
"the -g/--group-by grouping\n\tmethod."
|
|
"\n'rename': files are sorted using "
|
|
"the -s/--sort-by\n\tthen they are "
|
|
"renamed.\nDefault: rename"})
|
|
|
|
argument_list.append({"opts": ('-k', '--keep'),
|
|
"action": 'store_true',
|
|
"dest": 'keep_original',
|
|
"default": False,
|
|
"help": "Keeps the original files in the input "
|
|
"directory. Be careful when using this "
|
|
"with rename grouping and no specified "
|
|
"output directory as this would keep "
|
|
"the original and renamed files in the "
|
|
"same directory."})
|
|
|
|
argument_list.append({"opts": ('-s', '--sort-by'),
|
|
"type": str,
|
|
"choices": ("blur", "face", "face-cnn",
|
|
"face-cnn-dissim", "face-dissim",
|
|
"face-yaw", "hist",
|
|
"hist-dissim"),
|
|
"dest": 'sort_method',
|
|
"default": "hist",
|
|
"help": "Sort by method. "
|
|
"Choose how images are sorted. "
|
|
"Default: hist"})
|
|
|
|
argument_list.append({"opts": ('-g', '--group-by'),
|
|
"type": str,
|
|
"choices": ("blur", "face", "face-cnn",
|
|
"face-yaw", "hist"),
|
|
"dest": 'group_method',
|
|
"default": "hist",
|
|
"help": "Group by method. "
|
|
"When -fp/--final-processing by "
|
|
"folders choose the how the images are "
|
|
"grouped after sorting. "
|
|
"Default: hist"})
|
|
|
|
argument_list.append({"opts": ('-t', '--ref_threshold'),
|
|
"action": Slider,
|
|
"min_max": (-1.0, 10.0),
|
|
"rounding": 2,
|
|
"type": float,
|
|
"dest": 'min_threshold',
|
|
"default": -1.0,
|
|
"help": "Float value. "
|
|
"Minimum threshold to use for grouping "
|
|
"comparison with 'face' and 'hist' "
|
|
"methods. The lower the value the more "
|
|
"discriminating the grouping is. "
|
|
"Leaving -1.0 will make the program "
|
|
"set the default value automatically. "
|
|
"For face 0.6 should be enough, with "
|
|
"0.5 being very discriminating. "
|
|
"For face-cnn 7.2 should be enough, "
|
|
"with 4 being very discriminating. "
|
|
"For hist 0.3 should be enough, with "
|
|
"0.2 being very discriminating. "
|
|
"Be careful setting a value that's too "
|
|
"low in a directory with many images, "
|
|
"as this could result in a lot of "
|
|
"directories being created. "
|
|
"Defaults: face 0.6, face-cnn 7.2, "
|
|
"hist 0.3"})
|
|
|
|
argument_list.append({"opts": ('-b', '--bins'),
|
|
"action": Slider,
|
|
"min_max": (1, 100),
|
|
"rounding": 1,
|
|
"type": int,
|
|
"dest": 'num_bins',
|
|
"default": 5,
|
|
"help": "Integer value. "
|
|
"Number of folders that will be used "
|
|
"to group by blur and face-yaw. "
|
|
"For blur folder 0 will be the least "
|
|
"blurry, while the last folder will be "
|
|
"the blurriest. "
|
|
"For face-yaw the number of bins is by "
|
|
"how much 180 degrees is divided. So "
|
|
"if you use 18, then each folder will "
|
|
"be a 10 degree increment. Folder 0 "
|
|
"will contain faces looking the most "
|
|
"to the left whereas the last folder "
|
|
"will contain the faces looking the "
|
|
"most to the right. "
|
|
"If the number of images doesn't "
|
|
"divide evenly into the number of "
|
|
"bins, the remaining images get put in "
|
|
"the last bin."
|
|
"Default value: 5"})
|
|
|
|
argument_list.append({"opts": ('-l', '--log-changes'),
|
|
"action": 'store_true',
|
|
"dest": 'log_changes',
|
|
"default": False,
|
|
"help": "Logs file renaming changes if "
|
|
"grouping by renaming, or it logs the "
|
|
"file copying/movement if grouping by "
|
|
"folders. If no log file is specified "
|
|
"with '--log-file', then a "
|
|
"'sort_log.json' file will be created "
|
|
"in the input directory."})
|
|
|
|
argument_list.append({"opts": ('-lf', '--log-file'),
|
|
"action": SaveFileFullPaths,
|
|
"filetypes": "alignments",
|
|
"dest": 'log_file_path',
|
|
"default": 'sort_log.json',
|
|
"help": "Specify a log file to use for saving "
|
|
"the renaming or grouping information. "
|
|
"If specified extension isn't 'json' "
|
|
"or 'yaml', then json will be used as "
|
|
"the serializer, with the supplied "
|
|
"filename. "
|
|
"Default: sort_log.json"})
|
|
|
|
return argument_list
|