2.4.1 (#442)
* Update official url for cuda 12-2 wheels * Fix preview for audio to image * Prevent download loop when remote is unreachable * Prevent download loop when remote is unreachable * changes (#444) * Tidy up monkey patch * Use cpu core count for concurrency count * Dynamic concurrency_count for ideal Gradio performance * Conditional download face analyser models * Fix testing via pre_check() * Introduce checking to process manager for blocking the UI * Introduce checking to process manager for blocking the UI * Introduce checking to process manager for blocking the UI * Introduce checking to process manager for blocking the UI * Move the blocking while model download to the correct position * Remove unused imports --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
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@@ -1,10 +1,12 @@
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from typing import Any, Optional, List, Tuple
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from time import sleep
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import threading
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import cv2
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import numpy
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import onnxruntime
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import facefusion.globals
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from facefusion import process_manager
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from facefusion.common_helper import get_first
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from facefusion.face_helper import warp_face_by_face_landmark_5, warp_face_by_translation, create_static_anchors, distance_to_face_landmark_5, distance_to_bounding_box, convert_face_landmark_68_to_5, apply_nms, categorize_age, categorize_gender
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from facefusion.face_store import get_static_faces, set_static_faces
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@@ -77,6 +79,8 @@ def get_face_analyser() -> Any:
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face_detectors = {}
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with THREAD_LOCK:
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while process_manager.is_checking():
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sleep(0.5)
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if FACE_ANALYSER is None:
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if facefusion.globals.face_detector_model in [ 'many', 'retinaface' ]:
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face_detector = onnxruntime.InferenceSession(MODELS.get('face_detector_retinaface').get('path'), providers = apply_execution_provider_options(facefusion.globals.execution_providers))
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@@ -121,18 +125,29 @@ def pre_check() -> bool:
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download_directory_path = resolve_relative_path('../.assets/models')
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model_urls =\
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[
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MODELS.get('face_detector_retinaface').get('url'),
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MODELS.get('face_detector_scrfd').get('url'),
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MODELS.get('face_detector_yoloface').get('url'),
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MODELS.get('face_detector_yunet').get('url'),
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MODELS.get('face_recognizer_arcface_blendswap').get('url'),
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MODELS.get('face_recognizer_arcface_inswapper').get('url'),
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MODELS.get('face_recognizer_arcface_simswap').get('url'),
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MODELS.get('face_recognizer_arcface_uniface').get('url'),
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MODELS.get('face_landmarker').get('url'),
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MODELS.get('gender_age').get('url'),
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MODELS.get('gender_age').get('url')
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]
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if facefusion.globals.face_detector_model in [ 'many', 'retinaface' ]:
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model_urls.append(MODELS.get('face_detector_retinaface').get('url'))
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if facefusion.globals.face_detector_model in [ 'many', 'scrfd' ]:
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model_urls.append(MODELS.get('face_detector_scrfd').get('url'))
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if facefusion.globals.face_detector_model in [ 'many', 'yoloface' ]:
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model_urls.append(MODELS.get('face_detector_yoloface').get('url'))
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if facefusion.globals.face_detector_model in [ 'yunet' ]:
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model_urls.append(MODELS.get('face_detector_yunet').get('url'))
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if facefusion.globals.face_recognizer_model == 'arcface_blendswap':
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model_urls.append(MODELS.get('face_recognizer_arcface_blendswap').get('url'))
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if facefusion.globals.face_recognizer_model == 'arcface_inswapper':
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model_urls.append(MODELS.get('face_recognizer_arcface_inswapper').get('url'))
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if facefusion.globals.face_recognizer_model == 'arcface_simswap':
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model_urls.append(MODELS.get('face_recognizer_arcface_simswap').get('url'))
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if facefusion.globals.face_recognizer_model == 'arcface_uniface':
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model_urls.append(MODELS.get('face_recognizer_arcface_uniface').get('url'))
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process_manager.check()
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conditional_download(download_directory_path, model_urls)
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process_manager.end()
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return True
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