[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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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] |
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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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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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Why these changes are needed
This PR makes
opencv-python-headlessan optional dependency by moving it to the existingvideoextra (pip install vllm[video]). This resolves the FIPS/CVE deadlock that currently blocks pinning opencv for all users.Problem: opencv-python-headless cannot be safely required by default:
FATAL FIPS SELFTEST FAILUREcrashes on FIPS-enabled systems ([Bug]: vLLM 0.11 SSL Initialization Failure (ssl.SSLError: [CRYPTO] unknown error) on MicroOS 5.5 with FIPS Enabled #33147, [Multimodal] Add PyAV video backend for concurrent video decoding #39986)Context: PR #40276 already made PyAV optional due to LGPL licensing concerns. Both video backends now have blockers for default inclusion. This PR makes the video backend stance consistent — both are optional extras, users choose based on their needs.
Why this is the right fix:
pip install vllm[video]Implementation details
opencv-python-headlessfromrequirements/common.txt[image]extra frommistral_commoninrequirements/common.txt— this extra is an alias for[opencv]and was re-introducing opencv as a transitive dependency. All mistral_common classes vllm uses (ImageChunk,ImageEncoder, etc.) work without the extra installed.opencv-python-headless>=4.13.0to the existingvideoextra insetup.pyPlaceholderModuleimport guards invllm/assets/video.pyandvllm/benchmarks/datasets/datasets.py(matching the existing pattern invllm/multimodal/video.py)cuda.txt,rocm.txt,xpu.txt) to reflect the removed constraintAll
import cv2statements in vllm/ source are now 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)Selecting the opencv video backend without the package installed raises a clear
PlaceholderModuleerror directing users to install withpip install vllm[video].Test plan
Validated the following:
pip install -e .(without[video]) succeeds without installing opencvpip install -e ".[video]"installsopencv-python-headlesspython -c "import vllm"succeeds without opencv installedtests/standalone_tests/lazy_imports.pypasses (validates cv2 is not eagerly imported)mistral_commonclasses used by vllm (ImageChunk, ImageEncoder, etc.) import successfully without opencvPlaceholderModuleerrorRelated issues and PRs
Fixes #40741
Related: #33147, #33756, #39986, #40276
CC @russellb @Isotr0py
AI Assistance Disclosure: This PR was developed with AI assistance (Claude). All changes were reviewed, tested, and validated by the human submitter.