Add clear button to benchmark and fire clear_temp() via the UI
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@ -20,7 +20,7 @@ import facefusion.globals
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from facefusion import wording, metadata
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from facefusion.predictor import predict_image, predict_video
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from facefusion.processors.frame.core import get_frame_processors_modules
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from facefusion.utilities import is_image, is_video, detect_fps, create_video, extract_frames, get_temp_frame_paths, restore_audio, create_temp, move_temp, clean_temp, normalize_output_path, list_module_names, decode_execution_providers, encode_execution_providers
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from facefusion.utilities import is_image, is_video, detect_fps, create_video, extract_frames, get_temp_frame_paths, restore_audio, create_temp, move_temp, clear_temp, normalize_output_path, list_module_names, decode_execution_providers, encode_execution_providers
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warnings.filterwarnings('ignore', category = FutureWarning, module = 'insightface')
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warnings.filterwarnings('ignore', category = UserWarning, module = 'torchvision')
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@ -191,8 +191,8 @@ def process_video() -> None:
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update_status(wording.get('restoring_audio_issues'))
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restore_audio(facefusion.globals.target_path, facefusion.globals.output_path)
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# clean temp
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update_status(wording.get('cleaning_temp'))
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clean_temp(facefusion.globals.target_path)
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update_status(wording.get('clearing_temp'))
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clear_temp(facefusion.globals.target_path)
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# validate video
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if is_video(facefusion.globals.target_path):
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update_status(wording.get('processing_video_succeed'))
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@ -230,5 +230,5 @@ def run() -> None:
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def destroy() -> None:
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if facefusion.globals.target_path:
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clean_temp(facefusion.globals.target_path)
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clear_temp(facefusion.globals.target_path)
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sys.exit()
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@ -9,17 +9,19 @@ from facefusion import wording
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from facefusion.capturer import get_video_frame_total
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from facefusion.core import conditional_process
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from facefusion.uis.typing import Update
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from facefusion.utilities import normalize_output_path
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from facefusion.utilities import normalize_output_path, clear_temp
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BENCHMARK_RESULT_DATAFRAME : Optional[gradio.Dataframe] = None
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BENCHMARK_CYCLES_SLIDER : Optional[gradio.Button] = None
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BENCHMARK_START_BUTTON : Optional[gradio.Button] = None
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BENCHMARK_CLEAR_BUTTON : Optional[gradio.Button] = None
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def render() -> None:
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global BENCHMARK_RESULT_DATAFRAME
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global BENCHMARK_CYCLES_SLIDER
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global BENCHMARK_START_BUTTON
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global BENCHMARK_CLEAR_BUTTON
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with gradio.Box():
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BENCHMARK_RESULT_DATAFRAME = gradio.Dataframe(
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@ -27,7 +29,7 @@ def render() -> None:
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headers =
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[
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'target_path',
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'cycles',
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'benchmark_cycles',
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'average_run',
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'fastest_run',
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'slowest_run',
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@ -52,11 +54,14 @@ def render() -> None:
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value = 3,
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maximum = 10
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)
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with gradio.Row():
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BENCHMARK_START_BUTTON = gradio.Button(wording.get('start_button_label'))
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BENCHMARK_CLEAR_BUTTON = gradio.Button(wording.get('clear_button_label'))
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def listen() -> None:
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BENCHMARK_START_BUTTON.click(update, inputs = BENCHMARK_CYCLES_SLIDER, outputs = BENCHMARK_RESULT_DATAFRAME)
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BENCHMARK_CLEAR_BUTTON.click(clear, outputs = BENCHMARK_RESULT_DATAFRAME)
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def update(benchmark_cycles : int) -> Update:
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@ -74,10 +79,10 @@ def update(benchmark_cycles : int) -> Update:
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return gradio.update(value = value)
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def benchmark(target_path : str, cycles : int) -> List[Any]:
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def benchmark(target_path : str, benchmark_cycles : int) -> List[Any]:
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process_times = []
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total_fps = 0.0
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for i in range(cycles + 1):
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for i in range(benchmark_cycles + 1):
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facefusion.globals.target_path = target_path
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facefusion.globals.output_path = normalize_output_path(facefusion.globals.source_path, facefusion.globals.target_path, tempfile.gettempdir())
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video_frame_total = get_video_frame_total(facefusion.globals.target_path)
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@ -89,16 +94,22 @@ def benchmark(target_path : str, cycles : int) -> List[Any]:
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if i > 0:
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process_times.append(process_time)
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total_fps += fps
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average_process_time = round(statistics.mean(process_times), 2)
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fastest_process_time = round(min(process_times), 2)
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slowest_process_time = round(max(process_times), 2)
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average_fps = round(total_fps / cycles, 2)
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average_run = round(statistics.mean(process_times), 2)
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fastest_run = round(min(process_times), 2)
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slowest_run = round(max(process_times), 2)
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relative_fps = round(total_fps / benchmark_cycles, 2)
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return\
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[
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facefusion.globals.target_path,
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cycles,
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average_process_time,
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fastest_process_time,
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slowest_process_time,
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average_fps
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benchmark_cycles,
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average_run,
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fastest_run,
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slowest_run,
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relative_fps
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]
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def clear() -> Update:
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if facefusion.globals.target_path:
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clear_temp(facefusion.globals.target_path)
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return gradio.update(value = None)
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@ -5,7 +5,7 @@ import facefusion.globals
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from facefusion import wording
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from facefusion.core import conditional_process
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from facefusion.uis.typing import Update
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from facefusion.utilities import is_image, is_video, normalize_output_path
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from facefusion.utilities import is_image, is_video, normalize_output_path, clear_temp
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OUTPUT_START_BUTTON : Optional[gradio.Button] = None
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OUTPUT_CLEAR_BUTTON : Optional[gradio.Button] = None
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@ -50,4 +50,6 @@ def update() -> Tuple[Update, Update]:
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def clear() -> Tuple[Update, Update]:
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if facefusion.globals.target_path:
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clear_temp(facefusion.globals.target_path)
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return gradio.update(value = None), gradio.update(value = None)
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@ -129,7 +129,7 @@ def move_temp(target_path : str, output_path : str) -> None:
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shutil.move(temp_output_path, output_path)
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def clean_temp(target_path : str) -> None:
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def clear_temp(target_path : str) -> None:
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temp_directory_path = get_temp_directory_path(target_path)
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parent_directory_path = os.path.dirname(temp_directory_path)
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if not facefusion.globals.keep_temp and os.path.isdir(temp_directory_path):
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@ -27,7 +27,7 @@ WORDING =\
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'execution_providers_help': 'choose from the available execution providers (choices: {choices}, ...)',
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'execution_thread_count_help': 'specify the number of execution threads',
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'execution_queue_count_help': 'specify the number of execution queries',
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'creating_temp': 'creating temporary resources',
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'creating_temp': 'Creating temporary resources',
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'extracting_frames_fps': 'Extracting frames with {fps} FPS',
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'processing': 'Processing',
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'downloading': 'Downloading',
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@ -37,7 +37,7 @@ WORDING =\
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'skipping_audio': 'Skipping audio',
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'restoring_audio': 'Restoring audio',
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'restoring_audio_issues': 'Restoring audio might cause issues as fps are not kept',
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'cleaning_temp': 'Cleaning temporary resources',
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'clearing_temp': 'Clearing temporary resources',
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'processing_image_succeed': 'Processing to image succeed',
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'processing_image_failed': 'Processing to image failed',
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'processing_video_succeed': 'Processing to video succeed',
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