vnyash
104 lines
3.4 KiB
Python
104 lines
3.4 KiB
Python
import subprocess
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import pytest
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import deepfuze.globals
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from deepfuze.download import conditional_download
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from deepfuze.face_analyser import pre_check, clear_face_analyser, get_one_face
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from deepfuze.typing import Face
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from deepfuze.vision import read_static_image
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@pytest.fixture(scope = 'module', autouse = True)
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def before_all() -> None:
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conditional_download('../../models/facefusion/examples',
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[
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'https://github.com/facefusion/facefusion-assets/releases/download/examples/source.jpg'
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])
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subprocess.run([ 'ffmpeg', '-i', '../../models/facefusion/examples/source.jpg', '-vf', 'crop=iw*0.8:ih*0.8', '../../models/facefusion/examples/source-80crop.jpg' ])
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subprocess.run([ 'ffmpeg', '-i', '../../models/facefusion/examples/source.jpg', '-vf', 'crop=iw*0.7:ih*0.7', '../../models/facefusion/examples/source-70crop.jpg' ])
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subprocess.run([ 'ffmpeg', '-i', '../../models/facefusion/examples/source.jpg', '-vf', 'crop=iw*0.6:ih*0.6', '../../models/facefusion/examples/source-60crop.jpg' ])
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@pytest.fixture(autouse = True)
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def before_each() -> None:
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deepfuze.globals.face_detector_score = 0.5
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deepfuze.globals.face_landmarker_score = 0.5
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deepfuze.globals.face_recognizer_model = 'arcface_inswapper'
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clear_face_analyser()
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def test_get_one_face_with_retinaface() -> None:
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deepfuze.globals.face_detector_model = 'retinaface'
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deepfuze.globals.face_detector_size = '320x320'
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pre_check()
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source_paths =\
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[
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'../../models/facefusion/examples/source.jpg',
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'../../models/facefusion/examples/source-80crop.jpg',
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'../../models/facefusion/examples/source-70crop.jpg',
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'../../models/facefusion/examples/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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face = get_one_face(source_frame)
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assert isinstance(face, Face)
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def test_get_one_face_with_scrfd() -> None:
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deepfuze.globals.face_detector_model = 'scrfd'
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deepfuze.globals.face_detector_size = '640x640'
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pre_check()
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source_paths =\
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[
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'../../models/facefusion/examples/source.jpg',
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'../../models/facefusion/examples/source-80crop.jpg',
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'../../models/facefusion/examples/source-70crop.jpg',
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'../../models/facefusion/examples/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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face = get_one_face(source_frame)
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assert isinstance(face, Face)
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def test_get_one_face_with_yoloface() -> None:
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deepfuze.globals.face_detector_model = 'yoloface'
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deepfuze.globals.face_detector_size = '640x640'
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pre_check()
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source_paths =\
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[
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'../../models/facefusion/examples/source.jpg',
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'../../models/facefusion/examples/source-80crop.jpg',
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'../../models/facefusion/examples/source-70crop.jpg',
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'../../models/facefusion/examples/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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face = get_one_face(source_frame)
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assert isinstance(face, Face)
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def test_get_one_face_with_yunet() -> None:
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deepfuze.globals.face_detector_model = 'yunet'
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deepfuze.globals.face_detector_size = '640x640'
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pre_check()
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source_paths =\
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[
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'../../models/facefusion/examples/source.jpg',
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'../../models/facefusion/examples/source-80crop.jpg',
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'../../models/facefusion/examples/source-70crop.jpg',
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'../../models/facefusion/examples/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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face = get_one_face(source_frame)
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assert isinstance(face, Face)
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