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