[CI/Build] Make opencv-python-headless an optional dependency#40764
[CI/Build] Make opencv-python-headless an optional dependency#40764rdwj wants to merge 1 commit into
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Documentation preview: https://vllm--40764.org.readthedocs.build/en/40764/ |
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Code Review
This pull request makes opencv-python-headless an optional dependency by moving it from the common requirements to a new video extra in setup.py. Documentation and code have been updated to support this change, including the use of PlaceholderModule for lazy loading. Feedback indicates that PlaceholderModule should be initialized with the package name opencv-python-headless rather than the module name cv2 to correctly trigger the intended installation instructions for users.
| try: | ||
| import cv2 | ||
| except ImportError: | ||
| cv2 = PlaceholderModule("cv2") # type: ignore[assignment] |
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The PlaceholderModule logic in vllm/utils/import_utils.py provides a helpful error message by looking up the provided name in the project's optional dependencies. However, it expects the package name (e.g., opencv-python-headless), not the module name (cv2). By using cv2 here, the lookup will fail, and the user will receive a generic ImportError instead of the intended 'Please install vllm[video]' message. Using the package name as the placeholder name ensures the helpful error message is triggered when an attribute is accessed.
| cv2 = PlaceholderModule("cv2") # type: ignore[assignment] | |
| cv2 = PlaceholderModule("opencv-python-headless") # type: ignore[assignment] |
| try: | ||
| import cv2 | ||
| except ImportError: | ||
| cv2 = PlaceholderModule("cv2") # type: ignore[assignment] |
There was a problem hiding this comment.
The PlaceholderModule logic in vllm/utils/import_utils.py provides a helpful error message by looking up the provided name in the project's optional dependencies. However, it expects the package name (e.g., opencv-python-headless), not the module name (cv2). By using cv2 here, the lookup will fail, and the user will receive a generic ImportError instead of the intended 'Please install vllm[video]' message. Using the package name as the placeholder name ensures the helpful error message is triggered when an attribute is accessed.
| cv2 = PlaceholderModule("cv2") # type: ignore[assignment] | |
| cv2 = PlaceholderModule("opencv-python-headless") # type: ignore[assignment] |
| try: | ||
| import cv2 | ||
| except ImportError: | ||
| cv2 = PlaceholderModule("cv2") # type: ignore[assignment] |
There was a problem hiding this comment.
The PlaceholderModule logic in vllm/utils/import_utils.py provides a helpful error message by looking up the provided name in the project's optional dependencies. However, it expects the package name (e.g., opencv-python-headless), not the module name (cv2). By using cv2 here, the lookup will fail, and the user will receive a generic ImportError instead of the intended 'Please install vllm[video]' message. Using the package name as the placeholder name ensures the helpful error message is triggered when an attribute is accessed.
| cv2 = PlaceholderModule("cv2") # type: ignore[assignment] | |
| cv2 = PlaceholderModule("opencv-python-headless") # type: ignore[assignment] |
Move opencv-python-headless from requirements/common.txt to the existing "video" optional extra in setup.py. On FIPS-enabled systems, opencv 4.13's bundled OpenSSL 1.1.1k triggers a fatal FIPS self-test failure at startup (vllm-project#40741, vllm-project#33147). Since PyAV is now the default video backend (vllm-project#39986), opencv is only needed when explicitly selecting the opencv video backend. Add PlaceholderModule import guards in vllm/assets/video.py and vllm/benchmarks/datasets/datasets.py, matching the existing pattern in vllm/multimodal/video.py. Fixes vllm-project#40741 Co-authored-by: Claude Signed-off-by: rdwj <wjackson@redhat.com>
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Unfortunately, #40276 reverted |
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Unfortunately, #40276
<#40276> reverted pyav to optional
dependency because of license issues, so we still need opencv for video
decode. 😢
In the proposed fix, opencv is still available (the back-rev version) if
the user deploys with the [video] option, but left off if not. So, for
non-video users, you get FIPS compliance and no CVE regression.
…On Fri, Apr 24, 2026 at 1:21 AM Isotr0py ***@***.***> wrote:
*Isotr0py* left a comment (vllm-project/vllm#40764)
<#40764?email_source=notifications&email_token=AXWCW6GDJ3AOE45SJ5GB7VL4XMBUTA5CNFSNUABFM5UWIORPF5TWS5BNNB2WEL2JONZXKZKDN5WW2ZLOOQXTIMZRGEYTCNBZG43KM4TFMFZW63VGMF2XI2DPOKSWK5TFNZ2LK4DSL5RW63LNMVXHIX3POBSW4X3DNRUWG2Y#issuecomment-4311114976>
Since #39986 <#39986> made PyAV
the default video backend, opencv-python-headless is no longer required for
the default code path. It is only needed when a user explicitly selects the
opencv video backend via --media-io-kwargs '{"video": {"backend":
"opencv"}}'.
Unfortunately, #40276 <#40276>
reverted pyav to optional dependency because of license issues, so we
still need opencv for video decode. 😢
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Purpose
Make
opencv-python-headlessan optional dependency by moving it fromrequirements/common.txtto the existing"video"optional extra insetup.py(pip install vllm[video]).On FIPS-enabled systems (e.g., Red Hat OpenShift),
opencv-python-headless4.13.0.90 crashes vLLM at startup withFATAL FIPS SELFTEST FAILUREbecause the wheel statically bundles OpenSSL 1.1.1k, which fails the kernel FIPS self-test. The version cannot be pinned back to 4.12.0.88 because 4.13 contains the fix for CVE-2026-22778 (CVSS 9.8 RCE), as noted when #33756 was rejected. The upstream opencv-python fix (opencv/opencv-python#1190) remains unmerged.Since #39986 made PyAV the default video backend,
opencv-python-headlessis no longer required for the default code path. It is only needed when a user explicitly selects the opencv video backend via--media-io-kwargs '{"video": {"backend": "opencv"}}'.Fixes #40741. Related: #33147, #33756, #39986.
Not a duplicate of #33756 — that PR proposed pinning opencv to <= 4.12.0.88 and was rejected because 4.13 contains the CVE-2026-22778 fix. This PR takes a different approach: making opencv entirely optional by moving it to the
"video"extra, which avoids the CVE/FIPS conflict altogether.Changes:
opencv-python-headlessfromrequirements/common.txt"video"extra insetup.pywithopencv-python-headless>=4.13.0PlaceholderModuleimport guards invllm/assets/video.pyandvllm/benchmarks/datasets/datasets.py, matching the existing pattern invllm/multimodal/video.pypip install vllm[video]note to video sections ofdocs/features/multimodal_inputs.md, matching the existingpip install vllm[audio]patternAI disclosure: This PR was developed with AI assistance (Claude). All changes were reviewed and validated by the human submitter.
Test Plan
pip install -e .(without[video]) should succeed without installing opencvpip install -e ".[video]"should install opencv-python-headlesspython -c "import vllm"should succeed without opencv installedtests/standalone_tests/lazy_imports.pyshould continue to pass (validates cv2 is not eagerly imported)PlaceholderModuleerrorTest Result
Verified locally that all
import cv2statements invllm/source are guarded:vllm/multimodal/video.py— already guarded (pre-existing)vllm/assets/video.py— guarded by this PR (2 sites)vllm/benchmarks/datasets/datasets.py— guarded by this PR (1 site)No unguarded
import cv2remains.git diff --checkreports no whitespace issues.Essential Elements of an Effective PR Description Checklist
supported_models.mdandexamplesfor a new model.CC @russellb