vnyash
221 lines
11 KiB
Python
Executable File
221 lines
11 KiB
Python
Executable File
from typing import Any, Dict, Optional
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WORDING : Dict[str, Any] =\
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{
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'conda_not_activated': 'Conda is not activated',
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'python_not_supported': 'Python version is not supported, upgrade to {version} or higher',
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'ffmpeg_not_installed': 'FFMpeg is not installed',
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'creating_temp': 'Creating temporary resources',
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'extracting_frames': 'Extracting frames with a resolution of {resolution} and {fps} frames per second',
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'extracting_frames_succeed': 'Extracting frames succeed',
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'extracting_frames_failed': 'Extracting frames failed',
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'analysing': 'Analysing',
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'processing': 'Processing',
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'downloading': 'Downloading',
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'temp_frames_not_found': 'Temporary frames not found',
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'copying_image': 'Copying image with a resolution of {resolution}',
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'copying_image_succeed': 'Copying image succeed',
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'copying_image_failed': 'Copying image failed',
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'finalizing_image': 'Finalizing image with a resolution of {resolution}',
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'finalizing_image_succeed': 'Finalizing image succeed',
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'finalizing_image_skipped': 'Finalizing image skipped',
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'merging_video': 'Merging video with a resolution of {resolution} and {fps} frames per second',
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'merging_video_succeed': 'Merging video succeed',
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'merging_video_failed': 'Merging video failed',
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'skipping_audio': 'Skipping audio',
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'restoring_audio_succeed': 'Restoring audio succeed',
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'restoring_audio_skipped': 'Restoring audio skipped',
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'clearing_temp': 'Clearing temporary resources',
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'processing_stopped': 'Processing stopped',
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'processing_image_succeed': 'Processing to image succeed in {seconds} seconds',
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'processing_image_failed': 'Processing to image failed',
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'processing_video_succeed': 'Processing to video succeed in {seconds} seconds',
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'processing_video_failed': 'Processing to video failed',
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'model_download_not_done': 'Download of the model is not done',
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'model_file_not_present': 'File of the model is not present',
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'select_image_source': 'Select a image for source path',
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'select_audio_source': 'Select a audio for source path',
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'select_video_target': 'Select a video for target path',
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'select_image_or_video_target': 'Select a image or video for target path',
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'select_file_or_directory_output': 'Select a file or directory for output path',
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'no_source_face_detected': 'No source face detected',
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'frame_processor_not_loaded': 'Frame processor {frame_processor} could not be loaded',
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'frame_processor_not_implemented': 'Frame processor {frame_processor} not implemented correctly',
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'ui_layout_not_loaded': 'UI layout {ui_layout} could not be loaded',
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'ui_layout_not_implemented': 'UI layout {ui_layout} not implemented correctly',
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'stream_not_loaded': 'Stream {stream_mode} could not be loaded',
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'point': '.',
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'comma': ',',
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'colon': ':',
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'question_mark': '?',
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'exclamation_mark': '!',
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'help':
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{
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# installer
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'install_dependency': 'select the variant of {dependency} to install',
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'skip_conda': 'skip the conda environment check',
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# general
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'config': 'choose the config file to override defaults',
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'source': 'choose single or multiple source images or audios',
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'target': 'choose single target image or video',
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'output': 'specify the output file or directory',
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# misc
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'force_download': 'force automate downloads and exit',
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'skip_download': 'omit automate downloads and remote lookups',
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'headless': 'run the program without a user interface',
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'log_level': 'adjust the message severity displayed in the terminal',
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# execution
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'execution_device_id': 'specify the device used for processing',
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'execution_providers': 'accelerate the model inference using different providers (choices: {choices}, ...)',
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'execution_thread_count': 'specify the amount of parallel threads while processing',
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'execution_queue_count': 'specify the amount of frames each thread is processing',
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# memory
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'video_memory_strategy': 'balance fast frame processing and low VRAM usage',
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'system_memory_limit': 'limit the available RAM that can be used while processing',
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# face analyser
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'face_analyser_order': 'specify the order in which the face analyser detects faces',
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'face_analyser_age': 'filter the detected faces based on their age',
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'face_analyser_gender': 'filter the detected faces based on their gender',
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'face_detector_model': 'choose the model responsible for detecting the face',
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'face_detector_size': 'specify the size of the frame provided to the face detector',
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'face_detector_score': 'filter the detected faces base on the confidence score',
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'face_landmarker_score': 'filter the detected landmarks base on the confidence score',
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# face selector
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'face_selector_mode': 'use reference based tracking or simple matching',
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'reference_face_position': 'specify the position used to create the reference face',
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'reference_face_distance': 'specify the desired similarity between the reference face and target face',
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'reference_frame_number': 'specify the frame used to create the reference face',
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# face mask
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'face_mask_types': 'mix and match different face mask types (choices: {choices})',
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'face_mask_blur': 'specify the degree of blur applied the box mask',
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'face_mask_padding': 'apply top, right, bottom and left padding to the box mask',
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'face_mask_regions': 'choose the facial features used for the region mask (choices: {choices})',
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# frame extraction
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'trim_frame_start': 'specify the the start frame of the target video',
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'trim_frame_end': 'specify the the end frame of the target video',
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'temp_frame_format': 'specify the temporary resources format',
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'keep_temp': 'keep the temporary resources after processing',
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# output creation
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'output_image_quality': 'specify the image quality which translates to the compression factor',
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'output_image_resolution': 'specify the image output resolution based on the target image',
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'output_video_encoder': 'specify the encoder use for the video compression',
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'output_video_preset': 'balance fast video processing and video file size',
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'output_video_quality': 'specify the video quality which translates to the compression factor',
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'output_video_resolution': 'specify the video output resolution based on the target video',
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'output_video_fps': 'specify the video output fps based on the target video',
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'skip_audio': 'omit the audio from the target video',
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# frame processors
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'frame_processors': 'load a single or multiple frame processors. (choices: {choices}, ...)',
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'face_debugger_items': 'load a single or multiple frame processors (choices: {choices})',
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'face_enhancer_model': 'choose the model responsible for enhancing the face',
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'face_enhancer_blend': 'blend the enhanced into the previous face',
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'face_swapper_model': 'choose the model responsible for swapping the face',
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'frame_colorizer_model': 'choose the model responsible for colorizing the frame',
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'frame_colorizer_blend': 'blend the colorized into the previous frame',
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'frame_colorizer_size': 'specify the size of the frame provided to the frame colorizer',
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'frame_enhancer_model': 'choose the model responsible for enhancing the frame',
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'frame_enhancer_blend': 'blend the enhanced into the previous frame',
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'lip_syncer_model': 'choose the model responsible for syncing the lips',
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# uis
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'open_browser': 'open the browser once the program is ready',
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'ui_layouts': 'launch a single or multiple UI layouts (choices: {choices}, ...)'
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},
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'uis':
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{
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# general
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'start_button': 'START',
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'stop_button': 'STOP',
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'clear_button': 'CLEAR',
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# about
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'donate_button': 'DONATE',
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# benchmark
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'benchmark_results_dataframe': 'BENCHMARK RESULTS',
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# benchmark options
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'benchmark_runs_checkbox_group': 'BENCHMARK RUNS',
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'benchmark_cycles_slider': 'BENCHMARK CYCLES',
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# common options
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'common_options_checkbox_group': 'OPTIONS',
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# execution
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'execution_providers_checkbox_group': 'EXECUTION PROVIDERS',
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# execution queue count
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'execution_queue_count_slider': 'EXECUTION QUEUE COUNT',
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# execution thread count
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'execution_thread_count_slider': 'EXECUTION THREAD COUNT',
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# face analyser
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'face_analyser_order_dropdown': 'FACE ANALYSER ORDER',
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'face_analyser_age_dropdown': 'FACE ANALYSER AGE',
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'face_analyser_gender_dropdown': 'FACE ANALYSER GENDER',
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'face_detector_model_dropdown': 'FACE DETECTOR MODEL',
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'face_detector_size_dropdown': 'FACE DETECTOR SIZE',
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'face_detector_score_slider': 'FACE DETECTOR SCORE',
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'face_landmarker_score_slider': 'FACE LANDMARKER SCORE',
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# face masker
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'face_mask_types_checkbox_group': 'FACE MASK TYPES',
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'face_mask_blur_slider': 'FACE MASK BLUR',
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'face_mask_padding_top_slider': 'FACE MASK PADDING TOP',
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'face_mask_padding_right_slider': 'FACE MASK PADDING RIGHT',
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'face_mask_padding_bottom_slider': 'FACE MASK PADDING BOTTOM',
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'face_mask_padding_left_slider': 'FACE MASK PADDING LEFT',
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'face_mask_region_checkbox_group': 'FACE MASK REGIONS',
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# face selector
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'face_selector_mode_dropdown': 'FACE SELECTOR MODE',
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'reference_face_gallery': 'REFERENCE FACE',
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'reference_face_distance_slider': 'REFERENCE FACE DISTANCE',
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# frame processors
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'frame_processors_checkbox_group': 'FRAME PROCESSORS',
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# frame processors options
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'face_debugger_items_checkbox_group': 'FACE DEBUGGER ITEMS',
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'face_enhancer_model_dropdown': 'FACE ENHANCER MODEL',
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'face_enhancer_blend_slider': 'FACE ENHANCER BLEND',
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'face_swapper_model_dropdown': 'FACE SWAPPER MODEL',
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'frame_colorizer_model_dropdown': 'FRAME COLORIZER MODEL',
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'frame_colorizer_blend_slider': 'FRAME COLORIZER BLEND',
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'frame_colorizer_size_dropdown': 'FRAME COLORIZER SIZE',
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'frame_enhancer_model_dropdown': 'FRAME ENHANCER MODEL',
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'frame_enhancer_blend_slider': 'FRAME ENHANCER BLEND',
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'lip_syncer_model_dropdown': 'LIP SYNCER MODEL',
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# memory
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'video_memory_strategy_dropdown': 'VIDEO MEMORY STRATEGY',
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'system_memory_limit_slider': 'SYSTEM MEMORY LIMIT',
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# output
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'output_image_or_video': 'OUTPUT',
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# output options
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'output_path_textbox': 'OUTPUT PATH',
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'output_image_quality_slider': 'OUTPUT IMAGE QUALITY',
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'output_image_resolution_dropdown': 'OUTPUT IMAGE RESOLUTION',
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'output_video_encoder_dropdown': 'OUTPUT VIDEO ENCODER',
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'output_video_preset_dropdown': 'OUTPUT VIDEO PRESET',
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'output_video_quality_slider': 'OUTPUT VIDEO QUALITY',
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'output_video_resolution_dropdown': 'OUTPUT VIDEO RESOLUTION',
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'output_video_fps_slider': 'OUTPUT VIDEO FPS',
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# preview
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'preview_image': 'PREVIEW',
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'preview_frame_slider': 'PREVIEW FRAME',
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# source
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'source_file': 'SOURCE',
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# target
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'target_file': 'TARGET',
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# temp frame
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'temp_frame_format_dropdown': 'TEMP FRAME FORMAT',
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# trim frame
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'trim_frame_start_slider': 'TRIM FRAME START',
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'trim_frame_end_slider': 'TRIM FRAME END',
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# webcam
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'webcam_image': 'WEBCAM',
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# webcam options
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'webcam_mode_radio': 'WEBCAM MODE',
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'webcam_resolution_dropdown': 'WEBCAM RESOLUTION',
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'webcam_fps_slider': 'WEBCAM FPS'
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}
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}
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def get(key : str) -> Optional[str]:
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if '.' in key:
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section, name = key.split('.')
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if section in WORDING and name in WORDING[section]:
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return WORDING[section][name]
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if key in WORDING:
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return WORDING[key]
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return None
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