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- import subprocess
- import pytest
- from facefusion import face_classifier, face_detector, face_landmarker, face_recognizer, state_manager
- from facefusion.download import conditional_download
- from facefusion.face_analyser import get_many_faces, get_one_face
- from facefusion.typing import Face
- from facefusion.vision import read_static_image
- from .helper import get_test_example_file, get_test_examples_directory
- @pytest.fixture(scope = 'module', autouse = True)
- def before_all() -> None:
- conditional_download(get_test_examples_directory(),
- [
- 'https://github.com/facefusion/facefusion-assets/releases/download/examples-3.0.0/source.jpg'
- ])
- 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') ])
- 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') ])
- 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') ])
- state_manager.init_item('execution_device_id', 0)
- state_manager.init_item('execution_providers', [ 'cpu' ])
- state_manager.init_item('face_detector_angles', [ 0 ])
- state_manager.init_item('face_detector_model', 'many')
- state_manager.init_item('face_detector_score', 0.5)
- state_manager.init_item('face_landmarker_model', 'many')
- state_manager.init_item('face_landmarker_score', 0.5)
- face_classifier.pre_check()
- face_landmarker.pre_check()
- face_recognizer.pre_check()
- @pytest.fixture(autouse = True)
- def before_each() -> None:
- face_classifier.clear_inference_pool()
- face_detector.clear_inference_pool()
- face_landmarker.clear_inference_pool()
- face_recognizer.clear_inference_pool()
- def test_get_one_face_with_retinaface() -> None:
- state_manager.init_item('face_detector_model', 'retinaface')
- state_manager.init_item('face_detector_size', '320x320')
- face_detector.pre_check()
- source_paths =\
- [
- get_test_example_file('source.jpg'),
- get_test_example_file('source-80crop.jpg'),
- get_test_example_file('source-70crop.jpg'),
- get_test_example_file('source-60crop.jpg')
- ]
- for source_path in source_paths:
- source_frame = read_static_image(source_path)
- many_faces = get_many_faces([ source_frame ])
- face = get_one_face(many_faces)
- assert isinstance(face, Face)
- def test_get_one_face_with_scrfd() -> None:
- state_manager.init_item('face_detector_model', 'scrfd')
- state_manager.init_item('face_detector_size', '640x640')
- face_detector.pre_check()
- source_paths =\
- [
- get_test_example_file('source.jpg'),
- get_test_example_file('source-80crop.jpg'),
- get_test_example_file('source-70crop.jpg'),
- get_test_example_file('source-60crop.jpg')
- ]
- for source_path in source_paths:
- source_frame = read_static_image(source_path)
- many_faces = get_many_faces([ source_frame ])
- face = get_one_face(many_faces)
- assert isinstance(face, Face)
- def test_get_one_face_with_yoloface() -> None:
- state_manager.init_item('face_detector_model', 'yoloface')
- state_manager.init_item('face_detector_size', '640x640')
- face_detector.pre_check()
- source_paths =\
- [
- get_test_example_file('source.jpg'),
- get_test_example_file('source-80crop.jpg'),
- get_test_example_file('source-70crop.jpg'),
- get_test_example_file('source-60crop.jpg')
- ]
- for source_path in source_paths:
- source_frame = read_static_image(source_path)
- many_faces = get_many_faces([ source_frame ])
- face = get_one_face(many_faces)
- assert isinstance(face, Face)
- def test_get_many_faces() -> None:
- source_path = get_test_example_file('source.jpg')
- source_frame = read_static_image(source_path)
- many_faces = get_many_faces([ source_frame, source_frame, source_frame ])
- assert isinstance(many_faces[0], Face)
- assert isinstance(many_faces[1], Face)
- assert isinstance(many_faces[2], Face)
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