238 lines
8.9 KiB
Python
238 lines
8.9 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from pathlib import Path
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import numpy as np
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import numpy.typing as npt
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import pytest
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from PIL import Image
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from vllm.assets.base import get_vllm_public_assets
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from vllm.assets.video import video_to_ndarrays, video_to_pil_images_list
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from vllm.multimodal.media import ImageMediaIO, VideoMediaIO
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from vllm.multimodal.video import VIDEO_LOADER_REGISTRY, VideoLoader
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from ..utils import cosine_similarity, create_video_from_image, normalize_image
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pytestmark = pytest.mark.cpu_test
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ASSETS_DIR = Path(__file__).parent.parent / "assets"
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assert ASSETS_DIR.exists()
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@VIDEO_LOADER_REGISTRY.register("assert_10_frames_1_fps")
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class Assert10Frames1FPSVideoLoader(VideoLoader):
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@classmethod
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def load_bytes(
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cls, data: bytes, num_frames: int = -1, fps: float = -1.0, **kwargs
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) -> npt.NDArray:
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assert num_frames == 10, "bad num_frames"
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assert fps == 1.0, "bad fps"
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return FAKE_OUTPUT_2
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def test_video_media_io_kwargs(monkeypatch: pytest.MonkeyPatch):
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with monkeypatch.context() as m:
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m.setenv("VLLM_VIDEO_LOADER_BACKEND", "assert_10_frames_1_fps")
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imageio = ImageMediaIO()
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# Verify that different args pass/fail assertions as expected.
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videoio = VideoMediaIO(imageio, **{"num_frames": 10, "fps": 1.0})
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_ = videoio.load_bytes(b"test")
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videoio = VideoMediaIO(
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imageio, **{"num_frames": 10, "fps": 1.0, "not_used": "not_used"}
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)
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_ = videoio.load_bytes(b"test")
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with pytest.raises(AssertionError, match="bad num_frames"):
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videoio = VideoMediaIO(imageio, **{})
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_ = videoio.load_bytes(b"test")
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with pytest.raises(AssertionError, match="bad num_frames"):
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videoio = VideoMediaIO(imageio, **{"num_frames": 9, "fps": 1.0})
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_ = videoio.load_bytes(b"test")
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with pytest.raises(AssertionError, match="bad fps"):
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videoio = VideoMediaIO(imageio, **{"num_frames": 10, "fps": 2.0})
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_ = videoio.load_bytes(b"test")
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@pytest.mark.parametrize("is_color", [True, False])
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@pytest.mark.parametrize("fourcc, ext", [("mp4v", "mp4"), ("XVID", "avi")])
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def test_opencv_video_io_colorspace(tmp_path, is_color: bool, fourcc: str, ext: str):
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"""
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Test all functions that use OpenCV for video I/O return RGB format.
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Both RGB and grayscale videos are tested.
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"""
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image_path = get_vllm_public_assets(
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filename="stop_sign.jpg", s3_prefix="vision_model_images"
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)
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image = Image.open(image_path)
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if not is_color:
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image_path = f"{tmp_path}/test_grayscale_image.png"
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image = image.convert("L")
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image.save(image_path)
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# Convert to gray RGB for comparison
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image = image.convert("RGB")
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video_path = f"{tmp_path}/test_RGB_video.{ext}"
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create_video_from_image(
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image_path,
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video_path,
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num_frames=2,
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is_color=is_color,
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fourcc=fourcc,
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)
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frames = video_to_ndarrays(video_path)
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for frame in frames:
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sim = cosine_similarity(
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normalize_image(np.array(frame)), normalize_image(np.array(image))
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)
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assert np.sum(np.isnan(sim)) / sim.size < 0.001
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assert np.nanmean(sim) > 0.99
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pil_frames = video_to_pil_images_list(video_path)
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for frame in pil_frames:
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sim = cosine_similarity(
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normalize_image(np.array(frame)), normalize_image(np.array(image))
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)
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assert np.sum(np.isnan(sim)) / sim.size < 0.001
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assert np.nanmean(sim) > 0.99
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io_frames, _ = VideoMediaIO(ImageMediaIO()).load_file(Path(video_path))
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for frame in io_frames:
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sim = cosine_similarity(
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normalize_image(np.array(frame)), normalize_image(np.array(image))
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)
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assert np.sum(np.isnan(sim)) / sim.size < 0.001
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assert np.nanmean(sim) > 0.99
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NUM_FRAMES = 10
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FAKE_OUTPUT_1 = np.random.rand(NUM_FRAMES, 1280, 720, 3)
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FAKE_OUTPUT_2 = np.random.rand(NUM_FRAMES, 1280, 720, 3)
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@VIDEO_LOADER_REGISTRY.register("test_video_backend_override_1")
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class TestVideoBackendOverride1(VideoLoader):
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"""Test loader that returns FAKE_OUTPUT_1 to verify backend selection."""
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@classmethod
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def load_bytes(
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cls, data: bytes, num_frames: int = -1, **kwargs
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) -> tuple[npt.NDArray, dict]:
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return FAKE_OUTPUT_1, {"video_backend": "test_video_backend_override_1"}
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@VIDEO_LOADER_REGISTRY.register("test_video_backend_override_2")
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class TestVideoBackendOverride2(VideoLoader):
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"""Test loader that returns FAKE_OUTPUT_2 to verify backend selection."""
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@classmethod
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def load_bytes(
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cls, data: bytes, num_frames: int = -1, **kwargs
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) -> tuple[npt.NDArray, dict]:
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return FAKE_OUTPUT_2, {"video_backend": "test_video_backend_override_2"}
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def test_video_media_io_backend_kwarg_override(monkeypatch: pytest.MonkeyPatch):
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"""
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Test that video_backend kwarg can override the VLLM_VIDEO_LOADER_BACKEND
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environment variable.
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This allows users to dynamically select a different video backend
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via --media-io-kwargs without changing the global env var, which is
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useful when plugins set a default backend but a specific request
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needs a different one.
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"""
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with monkeypatch.context() as m:
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# Set the env var to one backend
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m.setenv("VLLM_VIDEO_LOADER_BACKEND", "test_video_backend_override_1")
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imageio = ImageMediaIO()
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# Without video_backend kwarg, should use env var backend
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videoio_default = VideoMediaIO(imageio, num_frames=10)
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frames_default, metadata_default = videoio_default.load_bytes(b"test")
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np.testing.assert_array_equal(frames_default, FAKE_OUTPUT_1)
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assert metadata_default["video_backend"] == "test_video_backend_override_1"
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# With video_backend kwarg, should override env var
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videoio_override = VideoMediaIO(
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imageio, num_frames=10, video_backend="test_video_backend_override_2"
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)
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frames_override, metadata_override = videoio_override.load_bytes(b"test")
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np.testing.assert_array_equal(frames_override, FAKE_OUTPUT_2)
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assert metadata_override["video_backend"] == "test_video_backend_override_2"
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def test_video_media_io_backend_kwarg_not_passed_to_loader(
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monkeypatch: pytest.MonkeyPatch,
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):
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"""
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Test that video_backend kwarg is consumed by VideoMediaIO and NOT passed
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through to the underlying video loader's load_bytes method.
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This ensures the kwarg is properly popped from kwargs before forwarding.
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"""
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@VIDEO_LOADER_REGISTRY.register("test_reject_video_backend_kwarg")
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class RejectVideoBackendKwargLoader(VideoLoader):
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"""Test loader that fails if video_backend is passed through."""
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@classmethod
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def load_bytes(
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cls, data: bytes, num_frames: int = -1, **kwargs
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) -> tuple[npt.NDArray, dict]:
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# This should never receive video_backend in kwargs
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if "video_backend" in kwargs:
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raise AssertionError(
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"video_backend should be consumed by VideoMediaIO, "
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"not passed to loader"
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)
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return FAKE_OUTPUT_1, {"received_kwargs": list(kwargs.keys())}
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with monkeypatch.context() as m:
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m.setenv("VLLM_VIDEO_LOADER_BACKEND", "test_reject_video_backend_kwarg")
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imageio = ImageMediaIO()
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# Even when video_backend is provided, it should NOT be passed to loader
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videoio = VideoMediaIO(
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imageio,
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num_frames=10,
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video_backend="test_reject_video_backend_kwarg",
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other_kwarg="should_pass_through",
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)
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# This should NOT raise AssertionError
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frames, metadata = videoio.load_bytes(b"test")
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np.testing.assert_array_equal(frames, FAKE_OUTPUT_1)
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# Verify other kwargs are still passed through
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assert "other_kwarg" in metadata["received_kwargs"]
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def test_video_media_io_backend_env_var_fallback(monkeypatch: pytest.MonkeyPatch):
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"""
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Test that when video_backend kwarg is None or not provided,
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VideoMediaIO falls back to VLLM_VIDEO_LOADER_BACKEND env var.
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"""
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with monkeypatch.context() as m:
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m.setenv("VLLM_VIDEO_LOADER_BACKEND", "test_video_backend_override_2")
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imageio = ImageMediaIO()
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# Explicit None should fall back to env var
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videoio_none = VideoMediaIO(imageio, num_frames=10, video_backend=None)
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frames_none, metadata_none = videoio_none.load_bytes(b"test")
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np.testing.assert_array_equal(frames_none, FAKE_OUTPUT_2)
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assert metadata_none["video_backend"] == "test_video_backend_override_2"
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# Not providing video_backend should also fall back to env var
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videoio_missing = VideoMediaIO(imageio, num_frames=10)
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frames_missing, metadata_missing = videoio_missing.load_bytes(b"test")
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np.testing.assert_array_equal(frames_missing, FAKE_OUTPUT_2)
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assert metadata_missing["video_backend"] == "test_video_backend_override_2"
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