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()