
* Cleanup after age modifier PR * Cleanup after age modifier PR * Use OpenVino 2024.2.0 for installer * Prepare 3.0.0 for installer * Fix benchmark suite, Introduce sync_item() for state manager * Fix lint * Render slide preview also in lower res * Lower thread and queue count to avoid false usage * Fix spacing * Feat/jobs UI (#627) * Jobs UI part1 * Change naming * Jobs UI part2 * Jobs UI part3 * Jobs UI part4 * Jobs UI part4 * Jobs UI part5 * Jobs UI part6 * Jobs UI part7 * Jobs UI part8 * Jobs UI part9 * Jobs UI part10 * Jobs UI part11 * Jobs UI part12 * Fix rebase * Jobs UI part13 * Jobs UI part14 * Jobs UI part15 * changes (#626) * Remove useless ui registration * Remove useless ui registration * move job_list.py replace [0] with get_first() * optimize imports * fix date None problem add test job list * Jobs UI part16 * Jobs UI part17 * Jobs UI part18 * Jobs UI part19 * Jobs UI part20 * Jobs UI part21 * Jobs UI part22 * move job_list_options * Add label to job status checkbox group * changes * changes --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Update some dependencies * UI helper to convert 'none' * validate job (#628) * changes * changes * add test * changes * changes * Minor adjustments * Replace is_json with is_file * Handle empty and invalid json in job_list * Handle empty and invalid json in job_list * Handle empty and invalid json in job_list * Work on the job manager UI * Cosmetic changes on common helper * Just make it work for now * Just make it work for now * Just make it work for now * Streamline the step index lookups * Hide footer * Simplify instant runner * Simplify instant runner UI and job manager UI * Fix empty step choices * Fix empty step choices * Fix none values in UI * Rework on benchmark (add warmup) and job list * Improve ValueAndUnit * Add step 1 of x output * Cosmetic changes on the UI * Fix invalid job file names * Update preview * Introducing has_step() and sorting out insert behaviour * Introducing has_step() and sorting out insert behaviour * Add [ none ] to some job id dropdowns * Make updated dropdown values kinda perfect * Make updated dropdown values kinda perfect * Fix testing * Minor improvement on UI * Fix false config lookup * Remove TensorRT as our models are not made for it * Feat/cli commands second try rev2 (#640) * Refactor CLI to commands * Refactor CLI to commands part2 * Refactor CLI to commands part3 * Refactor CLI to commands part4 * Rename everything to facefusion.py * Refactor CLI to commands part5 * Refactor CLI to commands part6 * Adjust testing * Fix lint * Fix lint * Fix lint * Refactor CLI to commands part7 * Extend State typing * Fix false config lookup, adjust logical orders * Move away from passing program part1 * Move away from passing program part2 * Move away from passing program part3 * Fix lint * Move away from passing program part4 * ui-args update * ui-args update * ui-args update * temporary type fix * Move away from passing program part5 * remove unused * creates args.py * Move away from passing program part6 * Move away from passing program part7 --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Minor optimizations * Update commands in README * Fix job-retry command * Fix multi runs via UI * add more job keys * Cleanup codebase * One method to create inference session (#641) * One method to create inference session * Remove warnings, as there are none * Remember job id during processing * Fix face masker config block * Change wording * Prevent age modifier from using CoreML * add expression restorer (#642) * add expression restorer * fix import * fix lint * changes * changes * changes * Host the final model for expression restorer * Insert step on the given index * UI workover (#644) * UI workover part1 * Introduce ComponentOptions * Only set Media components to None when visibility changes * Clear static faces and reference faces between step processing * Minor changes * Minor changes * Fix testing * Enable test_sanitize_path_for_windows (#646) * Dynamic download during job processing (#647) * Fix face masker UI * Rename run-headless to headless-run * Feat/split frame processor UI (#649) * Split frame processor UI * Split frame processor UI part3, Refactor get_model_initializer * Split frame processor UI part4 * Feat/rename frame processors (#651) * Rename frame processors * Rename frame processors part2 * Fix imports Conflicts: facefusion/uis/layouts/benchmark.py facefusion/uis/layouts/default.py * Fix imports * Cosmetic changes * Fix multi threading for ROCm * Change temp frames pattern * Adjust terminal help * remove expression restorer (#653) * Expression restorer as processor (#655) * add expression restorer * changes * Cleanup code * Add TensorRT support back * Add TensorRT support back * Add TensorRT support back * changes (#656) * Change minor wording * Fix face enhancer slider * Add more typing * Fix expression-restorer when using trim (#659) * changes * changes * Rework/model and inference pool part2 (#660) * Rework on model and inference pool * Introduce inference sources and pools part1 * Introduce inference sources and pools part2 * Introduce inference sources and pools part3 * Introduce inference sources and pools part4 * Introduce inference sources and pools part5 * Introduce inference sources and pools part6 * Introduce inference sources and pools part6 * Introduce inference sources and pools part6 * Introduce inference sources and pools part7 * Introduce inference sources and pools part7 * Introduce inference sources and pools part8 * Introduce inference sources and pools part9 * Introduce inference sources and pools part10 * Introduce inference sources and pools part11 * Introduce inference sources and pools part11 * Introduce inference sources and pools part11 * Introduce inference sources and pools part12 * Reorganize the face masker UI * Fix trim in UI * Feat/hashed sources (#668) * Introduce source helper * Remove post_check() and just use process_manager * Remove post_check() part2 * Add hash based downloads * Add hash based downloads part2 * Add hash based downloads part3 * Add hash based downloads part4 * Add hash based downloads part5 * Add hash based downloads part6 * Add hash based downloads part7 * Add hash based downloads part7 * Add hash based downloads part8 * Remove print * Prepare 3.0.0 release * Fix UI * Release the check when really done * Update inputs for live portrait * Update to 3.0.0 releases, extend download postfix * Move files to the right place * Logging for the hash and source validation * Changing logic to handle corrupt sources * Fix typo * Use names over get_inputs(), Remove set_options() call * Age modifier now works for CoreML too * Update age_modifier.py * Add video encoder h264_videotoolbox and hevc_videotoolbox * Face editor add eye gaze & remove open factor sliders (#670) * changes * add eye gaze * changes * cleanup * add eyebrow control * changes * changes * Feat/terminal UI (#671) * Introduce terminal to the UI * Introduce terminal to the UI part2 * Introduce terminal to the UI part2 * Introduce terminal to the UI part2 * Calc range step to avoid weird values * Use Sequence for ranges * Use Sequence for ranges * changes (#673) * Use Sequence for ranges * Finalize terminal UI * Finalize terminal UI * Webcam cosmetics, Fix normalize fps to accept int * Cosmetic changes * Finalize terminal UI * Rename leftover typings * Fix wording * Fix rounding in metavar * Fix rounding in metavar * Rename to face classifier * Face editor lip moves (#677) * changes * changes * changes * Fix rounding in metavar * Rename to face classifier * changes * changes * update naming --------- Co-authored-by: henryruhs <info@henryruhs.com> * Fix wording * Feat/many landmarker + face analyser breakdown (#678) * Basic multi landmarker integration * Simplify some method names * Break into face_detector and face_landmarker * Fix cosmetics * Fix testing * Break into face_attributor and face_recognizer * Clear them all * Clear them all * Rename to face classifier * Rename to face classifier * Fix testing * Fix stuff * Add face landmarker model to UI * Add face landmarker model to UI part2 * Split the config * Split the UI * Improvement from code review * Improvement from code review * Validate args also for sub parsers * Remove clear of processors in process step * Allow finder control for the face editor * Fix lint * Improve testing performance * Remove unused file, Clear processors from the UI before job runs * Update the installer * Uniform set handler for swapper and detector in the UI * Fix example urls * Feat/inference manager (#684) * Introduce inference manager * Migrate all to inference manager * clean ini * Introduce app context based inference pools * Fix lint * Fix typing * Adjust layout * Less border radius * Rename app context names * Fix/live portrait directml (#691) * changes (#690) * Adjust naming * Use our assets release * Adjust naming --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Add caches to gitignore * Update dependencies and drop CUDA 11.8 support (#693) * Update dependencies and drop CUDA 11.8 support * Play save and keep numpy 1.x.x * Improve TensorRT optimization * changes * changes * changes * changes * changes * changes * changes * changes * changes * Reuse inference sessions (#696) * Fix force-download command * Refactor processors to forward() (#698) * Install tensorrt when selecting cuda * Minor changes * Use latest numpy * Fix limit system memory * Implement forward() for every inference (#699) * Implement forward() for every inference * Implement forward() for every inference * Implement forward() for every inference * Implement forward() for every inference * changes * changes * changes * changes * Feat/fairface (#710) * Replace gender_age model with fair face (#709) * changes * changes * changes * age dropdown to range-slider * Cleanup code * Cleanup code --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Extend installer to set library paths for cuda and tensorrt (#707) * Extend installer to set library paths for cuda and tensorrt * Add refresh of conda env * Remove invalid commands * Set the conda env according to operating system * Update for ROCm 6.2 * fix installer * Aktualisieren von installer.py * Add missing face selector keys * Try to keep original LD_LIBRARY_PATH * windows support installer * Final touch to the installer * Remove spaces * Simplidy collect_model_downloads() * Fix force download for once and forever * Housekeeping (#715) * changes * changes * changes * Fix performance part1 * Fix mixed states (#689) * Fix mixed states * Add missing sync for job args * Move UnionStateXXX to base typing * Undo * Remove UnionStateXXX * Fix app context performance lookup (#717) * Restore performance for inswapper * Mover upper() to the logger * Undo debugging * Move TensorRT installation to docs * Sort out log level typing, Add log level UI dropdown (#719) * Fix inference pool part1 * Validate conda library paths existence * Default face selector order to large-small * Fix inference pool context according to execution provider (#720) * Fix app context under Windows * CUDA and TensorRT update for the installer * Remove concept of static processor modules * Revert false commit * Change event order makes a difference * Fix multi model context in inference pool (#721) * Fix multi model context in inference pool * Fix multi model context in inference pool part2 * Use latest gradio to avoid fastapi bug * Rework on the Windows Installer * Use embedding converter (#724) * changes (#723) * Upload models to official assets repo --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Rework on the Windows Installer part2 * Resolve subprocess calls (#726) * Experiment * Resolve subprocess calls to cover edge cases like broken PATH * Adjust wording * Simplify code * Rework on the Windows Installer part3 * Rework on the Windows Installer part4 * Numpy fix for older onnxruntime * changes (#729) * Add space * Add MacOS installer * Use favicon * Fix disabled logger * Layout polishing (#731) * Update dependencies, Adjust many face landmarker logic * Cosmetics changes * Should be button * Introduce randomized action button * Fix update of lip syncer and expression restorer * Stop sharing inference session this prevents flushing VRAM * Fix test * Fix urls * Prepare release * Vanish inquirer * Sticky preview does not work on portrait images * Sticky preview only for landscape images and videos * remove gradio tunnel env * Change wording and deeplinks * increase peppa landmark score offset * Change wording * Graceful exit install.py * Just adding a required * Cannot use the exit_helper * Rename our model * Change color of face-landmark-68/5 * Limit liveportrait (#739) * changes * changes * changes * Cleanup * Cleanup --------- Co-authored-by: harisreedhar <h4harisreedhar.s.s@gmail.com> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * limit expression restorer * change expression restorer 0-100 range * Use 256x icon * changes * changes * changes * changes * Limit face editor rotation (#745) * changes (#743) * Finish euler methods --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Use different coveralls badge * Move about wording * Shorten scope in the logger * changes * changes * Shorten scope in the logger * fix typo * Simplify the arcface converter names * Update preview --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> Co-authored-by: harisreedhar <h4harisreedhar.s.s@gmail.com>
177 lines
8.2 KiB
Python
177 lines
8.2 KiB
Python
import os
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import shutil
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import subprocess
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import tempfile
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from typing import List, Optional
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import filetype
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from facefusion import logger, process_manager, state_manager
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from facefusion.filesystem import remove_file
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from facefusion.temp_helper import get_temp_file_path, get_temp_frames_pattern
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from facefusion.typing import AudioBuffer, Fps, OutputVideoPreset
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from facefusion.vision import restrict_video_fps
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def run_ffmpeg(args : List[str]) -> subprocess.Popen[bytes]:
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commands = [ shutil.which('ffmpeg'), '-hide_banner', '-loglevel', 'error' ]
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commands.extend(args)
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process = subprocess.Popen(commands, stderr = subprocess.PIPE, stdout = subprocess.PIPE)
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while process_manager.is_processing():
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try:
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if state_manager.get_item('log_level') == 'debug':
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log_debug(process)
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process.wait(timeout = 0.5)
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except subprocess.TimeoutExpired:
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continue
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return process
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if process_manager.is_stopping():
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process.terminate()
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return process
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def open_ffmpeg(args : List[str]) -> subprocess.Popen[bytes]:
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commands = [ shutil.which('ffmpeg'), '-hide_banner', '-loglevel', 'quiet' ]
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commands.extend(args)
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return subprocess.Popen(commands, stdin = subprocess.PIPE, stdout = subprocess.PIPE)
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def log_debug(process : subprocess.Popen[bytes]) -> None:
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_, stderr = process.communicate()
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errors = stderr.decode().split(os.linesep)
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for error in errors:
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if error.strip():
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logger.debug(error.strip(), __name__)
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def extract_frames(target_path : str, temp_video_resolution : str, temp_video_fps : Fps) -> bool:
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trim_frame_start = state_manager.get_item('trim_frame_start')
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trim_frame_end = state_manager.get_item('trim_frame_end')
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temp_frames_pattern = get_temp_frames_pattern(target_path, '%08d')
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commands = [ '-i', target_path, '-s', str(temp_video_resolution), '-q:v', '0' ]
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if isinstance(trim_frame_start, int) and isinstance(trim_frame_end, int):
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commands.extend([ '-vf', 'trim=start_frame=' + str(trim_frame_start) + ':end_frame=' + str(trim_frame_end) + ',fps=' + str(temp_video_fps) ])
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elif isinstance(trim_frame_start, int):
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commands.extend([ '-vf', 'trim=start_frame=' + str(trim_frame_start) + ',fps=' + str(temp_video_fps) ])
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elif isinstance(trim_frame_end, int):
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commands.extend([ '-vf', 'trim=end_frame=' + str(trim_frame_end) + ',fps=' + str(temp_video_fps) ])
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else:
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commands.extend([ '-vf', 'fps=' + str(temp_video_fps) ])
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commands.extend([ '-vsync', '0', temp_frames_pattern ])
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return run_ffmpeg(commands).returncode == 0
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def merge_video(target_path : str, output_video_resolution : str, output_video_fps : Fps) -> bool:
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temp_video_fps = restrict_video_fps(target_path, output_video_fps)
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temp_file_path = get_temp_file_path(target_path)
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temp_frames_pattern = get_temp_frames_pattern(target_path, '%08d')
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commands = [ '-r', str(temp_video_fps), '-i', temp_frames_pattern, '-s', str(output_video_resolution), '-c:v', state_manager.get_item('output_video_encoder') ]
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if state_manager.get_item('output_video_encoder') in [ 'libx264', 'libx265' ]:
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output_video_compression = round(51 - (state_manager.get_item('output_video_quality') * 0.51))
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commands.extend([ '-crf', str(output_video_compression), '-preset', state_manager.get_item('output_video_preset') ])
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if state_manager.get_item('output_video_encoder') in [ 'libvpx-vp9' ]:
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output_video_compression = round(63 - (state_manager.get_item('output_video_quality') * 0.63))
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commands.extend([ '-crf', str(output_video_compression) ])
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if state_manager.get_item('output_video_encoder') in [ 'h264_nvenc', 'hevc_nvenc' ]:
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output_video_compression = round(51 - (state_manager.get_item('output_video_quality') * 0.51))
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commands.extend([ '-cq', str(output_video_compression), '-preset', map_nvenc_preset(state_manager.get_item('output_video_preset')) ])
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if state_manager.get_item('output_video_encoder') in [ 'h264_amf', 'hevc_amf' ]:
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output_video_compression = round(51 - (state_manager.get_item('output_video_quality') * 0.51))
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commands.extend([ '-qp_i', str(output_video_compression), '-qp_p', str(output_video_compression), '-quality', map_amf_preset(state_manager.get_item('output_video_preset')) ])
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if state_manager.get_item('output_video_encoder') in [ 'h264_videotoolbox', 'hevc_videotoolbox' ]:
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commands.extend([ '-q:v', str(state_manager.get_item('output_video_quality')) ])
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commands.extend([ '-vf', 'framerate=fps=' + str(output_video_fps), '-pix_fmt', 'yuv420p', '-colorspace', 'bt709', '-y', temp_file_path ])
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return run_ffmpeg(commands).returncode == 0
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def concat_video(output_path : str, temp_output_paths : List[str]) -> bool:
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concat_video_path = tempfile.mktemp()
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with open(concat_video_path, 'w') as concat_video_file:
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for temp_output_path in temp_output_paths:
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concat_video_file.write('file \'' + os.path.abspath(temp_output_path) + '\'' + os.linesep)
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concat_video_file.flush()
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concat_video_file.close()
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commands = [ '-f', 'concat', '-safe', '0', '-i', concat_video_file.name, '-c:v', 'copy', '-c:a', state_manager.get_item('output_audio_encoder'), '-y', os.path.abspath(output_path) ]
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process = run_ffmpeg(commands)
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process.communicate()
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remove_file(concat_video_path)
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return process.returncode == 0
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def copy_image(target_path : str, temp_image_resolution : str) -> bool:
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temp_file_path = get_temp_file_path(target_path)
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temp_image_compression = calc_image_compression(target_path, 100)
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commands = [ '-i', target_path, '-s', str(temp_image_resolution), '-q:v', str(temp_image_compression), '-y', temp_file_path ]
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return run_ffmpeg(commands).returncode == 0
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def finalize_image(target_path : str, output_path : str, output_image_resolution : str) -> bool:
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temp_file_path = get_temp_file_path(target_path)
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output_image_compression = calc_image_compression(target_path, state_manager.get_item('output_image_quality'))
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commands = [ '-i', temp_file_path, '-s', str(output_image_resolution), '-q:v', str(output_image_compression), '-y', output_path ]
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return run_ffmpeg(commands).returncode == 0
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def calc_image_compression(image_path : str, image_quality : int) -> int:
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is_webp = filetype.guess_mime(image_path) == 'image/webp'
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if is_webp:
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image_quality = 100 - image_quality
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return round(31 - (image_quality * 0.31))
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def read_audio_buffer(target_path : str, sample_rate : int, channel_total : int) -> Optional[AudioBuffer]:
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commands = [ '-i', target_path, '-vn', '-f', 's16le', '-acodec', 'pcm_s16le', '-ar', str(sample_rate), '-ac', str(channel_total), '-' ]
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process = open_ffmpeg(commands)
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audio_buffer, _ = process.communicate()
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if process.returncode == 0:
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return audio_buffer
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return None
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def restore_audio(target_path : str, output_path : str, output_video_fps : Fps) -> bool:
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trim_frame_start = state_manager.get_item('trim_frame_start')
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trim_frame_end = state_manager.get_item('trim_frame_end')
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temp_file_path = get_temp_file_path(target_path)
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commands = [ '-i', temp_file_path ]
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if isinstance(trim_frame_start, int):
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start_time = trim_frame_start / output_video_fps
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commands.extend([ '-ss', str(start_time) ])
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if isinstance(trim_frame_end, int):
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end_time = trim_frame_end / output_video_fps
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commands.extend([ '-to', str(end_time) ])
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commands.extend([ '-i', target_path, '-c:v', 'copy', '-c:a', state_manager.get_item('output_audio_encoder'), '-map', '0:v:0', '-map', '1:a:0', '-shortest', '-y', output_path ])
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return run_ffmpeg(commands).returncode == 0
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def replace_audio(target_path : str, audio_path : str, output_path : str) -> bool:
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temp_file_path = get_temp_file_path(target_path)
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commands = [ '-i', temp_file_path, '-i', audio_path, '-c:a', state_manager.get_item('output_audio_encoder'), '-af', 'apad', '-shortest', '-y', output_path ]
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return run_ffmpeg(commands).returncode == 0
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def map_nvenc_preset(output_video_preset : OutputVideoPreset) -> Optional[str]:
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if output_video_preset in [ 'ultrafast', 'superfast', 'veryfast', 'faster', 'fast' ]:
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return 'fast'
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if output_video_preset == 'medium':
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return 'medium'
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if output_video_preset in [ 'slow', 'slower', 'veryslow' ]:
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return 'slow'
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return None
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def map_amf_preset(output_video_preset : OutputVideoPreset) -> Optional[str]:
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if output_video_preset in [ 'ultrafast', 'superfast', 'veryfast' ]:
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return 'speed'
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if output_video_preset in [ 'faster', 'fast', 'medium' ]:
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return 'balanced'
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if output_video_preset in [ 'slow', 'slower', 'veryslow' ]:
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return 'quality'
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return None
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