8bf9170577
* Mark as NEXT * Reduce caching to avoid RAM explosion * Reduce caching to avoid RAM explosion * Update dependencies * add face-detector-pad-factor * update facefusion.ini * fix test * change pad to margin * fix order * add prepare margin * use 50% max margin * Minor fixes part2 * Minor fixes part3 * Minor fixes part4 * Minor fixes part1 * Downgrade onnxruntime as of BiRefNet broken on CPU add test update update facefusion.ini add birefnet * rename models add more models * Fix versions * Add .claude to gitignore * add normalize color add 4 channel add colors * worflows * cleanup * cleanup * cleanup * cleanup * add more models (#961) * Fix naming * changes * Fix style and mock Gradio * Fix style and mock Gradio * Fix style and mock Gradio * apply clamp * remove clamp * Add normalizer test * Introduce sanitizer for the rescue (#963) * Introduce sanitizer for the rescue * Introduce sanitizer for the rescue * Introduce sanitizer for the rescue * prepare ffmpeg for alpha support * Some cleanup * Some cleanup * Fix CI * List as TypeAlias is not allowed (#967) * List as TypeAlias is not allowed * List as TypeAlias is not allowed * List as TypeAlias is not allowed * List as TypeAlias is not allowed * Add mpeg and mxf support (#968) * Add mpeg support * Add mxf support * Adjust fix_xxx_encoder for the new formats * Extend output pattern for batch-run (#969) * Extend output pattern for batch-run * Add {target_extension} to allowed mixed files * Catch invalid output pattern keys * alpha support * cleanup * cleanup * add ProcessorOutputs type * fix preview and streamer, support alpha for background_remover * Refactor/open close processors (#972) * Introduce open/close processors * Add locales for translator * Introduce __autoload__ for translator * More cleanup * Fix import issues * Resolve the scope situation for locals * Fix installer by not using translator * Fixes after merge * Fixes after merge * Fix translator keys in ui * Use LOCALS in installer * Update and partial fix DirectML * Use latest onnxruntime * Fix performance * Fix lint issues * fix mask * fix lint * fix lint * Remove default from translator.get() * remove 'framerate=' * fix test * Rename and reorder models * Align naming * add alpha preview * fix frame-by-frame * Add alpha effect via css * preview support alpha channel * fix preview modes * Use official assets repositories * Add support for u2net_cloth * fix naming * Add more models * Add vendor, license and year direct to the models * Add vendor, license and year direct to the models * Update dependencies, Minor CSS adjustment * Ready for 3.5.0 * Fix naming * Update about messages * Fix return * Use groups to show/hide * Update preview * Conditional merge mask * Conditional merge mask * Fix import order --------- Co-authored-by: harisreedhar <h4harisreedhar.s.s@gmail.com> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
132 lines
4.4 KiB
Python
132 lines
4.4 KiB
Python
import subprocess
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import pytest
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from facefusion import face_classifier, face_detector, face_landmarker, face_recognizer, state_manager
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from facefusion.download import conditional_download
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from facefusion.face_analyser import get_many_faces
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from facefusion.vision import read_static_image
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from .helper import get_test_example_file, get_test_examples_directory
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@pytest.fixture(scope = 'module', autouse = True)
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def before_all() -> None:
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conditional_download(get_test_examples_directory(),
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[
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'https://github.com/facefusion/facefusion-assets/releases/download/examples-3.0.0/source.jpg'
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])
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subprocess.run([ 'ffmpeg', '-i', get_test_example_file('source.jpg'), '-vf', 'crop=iw*0.8:ih*0.8', get_test_example_file('source-80crop.jpg') ])
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subprocess.run([ 'ffmpeg', '-i', get_test_example_file('source.jpg'), '-vf', 'crop=iw*0.7:ih*0.7', get_test_example_file('source-70crop.jpg') ])
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subprocess.run([ 'ffmpeg', '-i', get_test_example_file('source.jpg'), '-vf', 'crop=iw*0.6:ih*0.6', get_test_example_file('source-60crop.jpg') ])
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state_manager.init_item('execution_device_ids', [ '0' ])
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state_manager.init_item('execution_providers', [ 'cpu' ])
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state_manager.init_item('download_providers', [ 'github' ])
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state_manager.init_item('face_detector_angles', [ 0 ])
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state_manager.init_item('face_detector_model', 'many')
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state_manager.init_item('face_detector_score', 0.5)
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state_manager.init_item('face_landmarker_model', 'many')
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state_manager.init_item('face_landmarker_score', 0.5)
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face_classifier.pre_check()
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face_landmarker.pre_check()
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face_recognizer.pre_check()
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@pytest.fixture(autouse = True)
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def before_each() -> None:
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face_classifier.clear_inference_pool()
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face_detector.clear_inference_pool()
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face_landmarker.clear_inference_pool()
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face_recognizer.clear_inference_pool()
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def test_get_one_face_with_retinaface() -> None:
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state_manager.init_item('face_detector_model', 'retinaface')
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state_manager.init_item('face_detector_size', '320x320')
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state_manager.init_item('face_detector_margin', (0, 0, 0, 0))
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face_detector.pre_check()
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source_paths =\
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[
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get_test_example_file('source.jpg'),
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get_test_example_file('source-80crop.jpg'),
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get_test_example_file('source-70crop.jpg'),
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get_test_example_file('source-60crop.jpg')
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]
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for source_path in source_paths:
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source_frame = read_static_image(source_path)
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many_faces = get_many_faces([ source_frame ])
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assert len(many_faces) == 1
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def test_get_one_face_with_scrfd() -> None:
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state_manager.init_item('face_detector_model', 'scrfd')
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state_manager.init_item('face_detector_size', '640x640')
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state_manager.init_item('face_detector_margin', (0, 0, 0, 0))
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face_detector.pre_check()
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source_paths =\
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[
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get_test_example_file('source.jpg'),
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get_test_example_file('source-80crop.jpg'),
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get_test_example_file('source-70crop.jpg'),
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get_test_example_file('source-60crop.jpg')
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]
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for source_path in source_paths:
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source_frame = read_static_image(source_path)
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many_faces = get_many_faces([ source_frame ])
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assert len(many_faces) == 1
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def test_get_one_face_with_yoloface() -> None:
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state_manager.init_item('face_detector_model', 'yoloface')
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state_manager.init_item('face_detector_size', '640x640')
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state_manager.init_item('face_detector_margin', (0, 0, 0, 0))
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face_detector.pre_check()
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source_paths =\
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[
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get_test_example_file('source.jpg'),
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get_test_example_file('source-80crop.jpg'),
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get_test_example_file('source-70crop.jpg'),
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get_test_example_file('source-60crop.jpg')
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]
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for source_path in source_paths:
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source_frame = read_static_image(source_path)
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many_faces = get_many_faces([ source_frame ])
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assert len(many_faces) == 1
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def test_get_one_face_with_yunet() -> None:
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state_manager.init_item('face_detector_model', 'yunet')
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state_manager.init_item('face_detector_size', '640x640')
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state_manager.init_item('face_detector_margin', (0, 0, 0, 0))
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face_detector.pre_check()
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source_paths =\
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[
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get_test_example_file('source.jpg'),
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get_test_example_file('source-80crop.jpg'),
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get_test_example_file('source-70crop.jpg'),
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get_test_example_file('source-60crop.jpg')
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]
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for source_path in source_paths:
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source_frame = read_static_image(source_path)
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many_faces = get_many_faces([ source_frame ])
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assert len(many_faces) == 1
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def test_get_many_faces() -> None:
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source_path = get_test_example_file('source.jpg')
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source_frame = read_static_image(source_path)
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many_faces = get_many_faces([ source_frame, source_frame, source_frame ])
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assert len(many_faces) == 3
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