a6809c3ccb
* Improve typing for our callbacks * Return 0 for get_download_size * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Remove tile processing from frame enhancer * Fix video compress translation for libvpx-vp9 * Allow zero values for video compression * Develop (#134) * Introduce model options to the frame processors * Finish UI to select frame processors models * Simplify frame processors options * Fix lint in CI * Rename all kind of settings to options * Add blend to enhancers * Simplify webcam mode naming * Bypass SSL issues under Windows * Fix blend of frame enhancer * Massive CLI refactoring, Register and apply ARGS via the frame processors * Refine UI theme and introduce donate button * Update dependencies and fix cpu only torch * Update dependencies and fix cpu only torch * Fix theme, Fix frame_processors in headless mode * Remove useless astype * Disable CoreML for the ONNX face enhancer * Disable CoreML for the ONNX face enhancer * Predict webcam too * Improve resize of preview * Change output quality defaults, Move options to the right * Support for codeformer model * Update the typo * Add GPEN and GFPGAN 1.2 * Extract blend_frame methods * Extend the installer * Revert broken Gradio * Rework on ui components * Move output path selector to the output options * Remove tons of pointless component updates * Reset more base theme styling * Use latest Gradio * Fix the sliders * More styles * Update torch to 2.1.0 * Add RealESRNet_x4plus * Fix that button * Use latest onnxruntime-silicon * Looks stable to me * Lowercase model keys, Update preview and readme
161 lines
6.5 KiB
Python
161 lines
6.5 KiB
Python
import glob
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import platform
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import subprocess
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import pytest
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import facefusion.globals
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from facefusion.utilities import conditional_download, extract_frames, create_temp, get_temp_directory_path, clear_temp, normalize_output_path, is_file, is_directory, is_image, is_video, get_download_size, is_download_done, encode_execution_providers, decode_execution_providers
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@pytest.fixture(scope = 'module', autouse = True)
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def before_all() -> None:
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facefusion.globals.temp_frame_quality = 100
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facefusion.globals.trim_frame_start = None
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facefusion.globals.trim_frame_end = None
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facefusion.globals.temp_frame_format = 'png'
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conditional_download('.assets/examples',
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[
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'https://github.com/facefusion/facefusion-assets/releases/download/examples/source.jpg',
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'https://github.com/facefusion/facefusion-assets/releases/download/examples/target-240p.mp4'
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])
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subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-240p.mp4', '-vf', 'fps=25', '.assets/examples/target-240p-25fps.mp4' ])
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subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-240p.mp4', '-vf', 'fps=30', '.assets/examples/target-240p-30fps.mp4' ])
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subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-240p.mp4', '-vf', 'fps=60', '.assets/examples/target-240p-60fps.mp4' ])
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@pytest.fixture(scope = 'function', autouse = True)
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def before_each() -> None:
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facefusion.globals.trim_frame_start = None
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facefusion.globals.trim_frame_end = None
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facefusion.globals.temp_frame_quality = 90
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facefusion.globals.temp_frame_format = 'jpg'
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def test_extract_frames() -> None:
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target_paths =\
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[
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'.assets/examples/target-240p-25fps.mp4',
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'.assets/examples/target-240p-30fps.mp4',
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'.assets/examples/target-240p-60fps.mp4'
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]
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for target_path in target_paths:
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temp_directory_path = get_temp_directory_path(target_path)
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create_temp(target_path)
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assert extract_frames(target_path, 30.0) is True
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assert len(glob.glob1(temp_directory_path, '*.jpg')) == 324
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clear_temp(target_path)
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def test_extract_frames_with_trim_start() -> None:
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facefusion.globals.trim_frame_start = 224
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data_provider =\
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[
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('.assets/examples/target-240p-25fps.mp4', 55),
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('.assets/examples/target-240p-30fps.mp4', 100),
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('.assets/examples/target-240p-60fps.mp4', 212)
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]
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for target_path, frame_total in data_provider:
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temp_directory_path = get_temp_directory_path(target_path)
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create_temp(target_path)
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assert extract_frames(target_path, 30.0) is True
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assert len(glob.glob1(temp_directory_path, '*.jpg')) == frame_total
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clear_temp(target_path)
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def test_extract_frames_with_trim_start_and_trim_end() -> None:
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facefusion.globals.trim_frame_start = 124
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facefusion.globals.trim_frame_end = 224
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data_provider =\
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[
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('.assets/examples/target-240p-25fps.mp4', 120),
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('.assets/examples/target-240p-30fps.mp4', 100),
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('.assets/examples/target-240p-60fps.mp4', 50)
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]
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for target_path, frame_total in data_provider:
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temp_directory_path = get_temp_directory_path(target_path)
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create_temp(target_path)
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assert extract_frames(target_path, 30.0) is True
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assert len(glob.glob1(temp_directory_path, '*.jpg')) == frame_total
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clear_temp(target_path)
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def test_extract_frames_with_trim_end() -> None:
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facefusion.globals.trim_frame_end = 100
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data_provider =\
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[
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('.assets/examples/target-240p-25fps.mp4', 120),
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('.assets/examples/target-240p-30fps.mp4', 100),
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('.assets/examples/target-240p-60fps.mp4', 50)
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]
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for target_path, frame_total in data_provider:
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temp_directory_path = get_temp_directory_path(target_path)
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create_temp(target_path)
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assert extract_frames(target_path, 30.0) is True
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assert len(glob.glob1(temp_directory_path, '*.jpg')) == frame_total
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clear_temp(target_path)
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def test_normalize_output_path() -> None:
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if platform.system().lower() != 'windows':
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assert normalize_output_path('.assets/examples/source.jpg', None, '.assets/examples/target-240p.mp4') == '.assets/examples/target-240p.mp4'
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assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/examples/target-240p.mp4') == '.assets/examples/target-240p.mp4'
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assert normalize_output_path('.assets/examples/source.jpg', '.assets/examples/target-240p.mp4', '.assets/examples') == '.assets/examples/source-target-240p.mp4'
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assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/examples/output.mp4') == '.assets/examples/output.mp4'
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assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/output.mov') == '.assets/output.mp4'
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assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/examples/invalid') is None
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assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/invalid/output.mp4') is None
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assert normalize_output_path(None, '.assets/examples/target-240p.mp4', 'invalid') is None
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assert normalize_output_path('.assets/examples/source.jpg', '.assets/examples/target-240p.mp4', None) is None
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def test_is_file() -> None:
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assert is_file('.assets/examples/source.jpg') is True
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assert is_file('.assets/examples') is False
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assert is_file('invalid') is False
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def test_is_directory() -> None:
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assert is_directory('.assets/examples') is True
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assert is_directory('.assets/examples/source.jpg') is False
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assert is_directory('invalid') is False
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def test_is_image() -> None:
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assert is_image('.assets/examples/source.jpg') is True
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assert is_image('.assets/examples/target-240p.mp4') is False
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assert is_image('invalid') is False
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def test_is_video() -> None:
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assert is_video('.assets/examples/target-240p.mp4') is True
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assert is_video('.assets/examples/source.jpg') is False
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assert is_video('invalid') is False
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def test_get_download_size() -> None:
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assert get_download_size('https://github.com/facefusion/facefusion-assets/releases/download/examples/target-240p.mp4') == 191675
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assert get_download_size('https://github.com/facefusion/facefusion-assets/releases/download/examples/target-360p.mp4') == 370732
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assert get_download_size('invalid') == 0
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def test_is_download_done() -> None:
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assert is_download_done('https://github.com/facefusion/facefusion-assets/releases/download/examples/target-240p.mp4', '.assets/examples/target-240p.mp4') is True
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assert is_download_done('https://github.com/facefusion/facefusion-assets/releases/download/examples/target-240p.mp4','invalid') is False
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assert is_download_done('invalid', 'invalid') is False
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def test_encode_execution_providers() -> None:
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assert encode_execution_providers([ 'CPUExecutionProvider' ]) == [ 'cpu' ]
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def test_decode_execution_providers() -> None:
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assert decode_execution_providers([ 'cpu' ]) == [ 'CPUExecutionProvider' ]
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