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import subprocess |
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import pytest |
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from DeepFakeAI import wording |
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from DeepFakeAI.utilities import conditional_download |
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@pytest.fixture(scope = 'module', autouse = True) |
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def before_all() -> None: |
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conditional_download('.assets/examples', |
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[ |
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'https://github.com/DeepFakeAI/DeepFakeAI-assets/releases/download/examples/source.jpg', |
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'https://github.com/DeepFakeAI/DeepFakeAI-assets/releases/download/examples/target-1080p.mp4' |
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]) |
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subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-1080p.mp4', '-vframes', '1', '.assets/examples/target-1080p.jpg' ]) |
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def test_image_to_image() -> None: |
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commands = [ 'python', 'run.py', '-s', '.assets/examples/source.jpg', '-t', '.assets/examples/target-1080p.jpg', '-o', '.assets/examples' ] |
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run = subprocess.run(commands, stdout = subprocess.PIPE) |
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assert run.returncode == 0 |
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assert wording.get('processing_image_succeed') in run.stdout.decode() |
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def test_image_to_video() -> None: |
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commands = [ 'python', 'run.py', '-s', '.assets/examples/source.jpg', '-t', '.assets/examples/target-1080p.mp4', '-o', '.assets/examples', '--trim-frame-end', '10' ] |
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run = subprocess.run(commands, stdout = subprocess.PIPE) |
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assert run.returncode == 0 |
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assert wording.get('processing_video_succeed') in run.stdout.decode() |
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