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Pencv python ffmpeg1/8/2023 Tested 314 dependencies for known issues, found 120 issues. Project name: docker-image|face-verification-v2 ✗ Critical severity vulnerability found in aom/libaom0ĭescription: Release of Invalid Pointer or Reference Introduced through: > layer: Introduced by your base image (python:3.9.13-slim) Recently, Ive been playing around with images taken from videos with the combination of ffmpeg + python + opencv. ✗ Critical severity vulnerability found in zlib/zlib1g Introduced through: > layer: 'apt-get install ffmpeg -y' ![]() ✗ High severity vulnerability found in aom/libaom0 RUN pip install flask flask_cors deepface numpy pillow flask_wtfīelow is the result of the docker scan which uses snyk, NOTE: I am just providing High and Critical Severity issues. I ran a docker scan for checking the security issues and it highlighted 4 critical severity issues introduced through FFmpeg packageĬan anyone help me how to avoid these security issues? You can find several scripts, I used an aption of this. There is also an option to build OpenCV with CUDA support. ago Thanks, it seems to work great on my laptop, Ill try on the orange pi later. OpenCV supports reading from a named pipe as if it were a file. ![]() I was trying to run DeepFace in docker and when I ran the container I got an error related to OpenCV.įollowing online suggestions, I downloaded the FFmpeg package and it resolved the OpenCV error and everything was working fine inside the container. There is also an easy way to get an up-to-date OpenCV (currently 4.5.3) with FFMPEG support using: python3 -m pip install opencv-python But this has no hardware accelaration at all (neither OpenCV nor the FFMPEG integration). You can create a named pipe and have ffmpeg write to it.
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