Copy all the pre-built binaries from ./colab-ffmpeg-cuda/bin/ to /usr/bin/ (Recommended)!cp -r ./colab-ffmpeg-cuda/bin/. /usr/bin/Check the installed ffmpeg version !ffmpeg -version # Congratulations, ffmpeg with cuda support is installed!
amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --without-cuda-driver --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu --with-build-config=bootstrap-lto-lean --enable-link-serialization=2Thread model:posix ...
Then you would have to be sure CUDA is installed. When installed, you would have it installed into /usr/local/cuda (which is a symlink to /usr/local/cuda-X.Y depending on version). If this is not your case, you would have first to fix that. With JetPack you can run post-install ...
Using ffmpeg from gyanet, calling: ffmpeg.exe -loglevel debug -i "bluray:G:\TestClips&Co\discs\Blu-ray\x264 BR-Demo" works properly, returning: ffmpeg version 6.1.1-full_build-www.gyan.dev Copyright (c) 2000-2023 the FFmpeg developers bu...
-FFmpeg(共享或静态)与这些库(均为可选,但除非另有说明,否则默认编译):Light build(轻量级): amd amf encoders (内置) cuda (内置) cuda-llvm (内置) cuvid (内置) ffnvcodec (git) libaom (git) libdav1d (git) libfdk-aac (git) needs non-free license if not LGPL libmp3lame (mingw-w64)...
Hi everybody! jetson nano version : Jetpack 4.6.4 I am going to build opencv 4.1.1 with cuda on jetson nano 4G evaluation board. and open cv version 4.1.1; ı tyr this : GitHub - mdegans/nano_build_opencv: Build OpenC…
WITH_STATIC_LIB=OFF # CUDA 的 lib 路径 CUDA_LIB=/usr/local/cuda-10.0/lib64 # CUDNN 的 lib 路径 CUDNN_LIB=/usr/lib/aarch64-linux-gnu # 是否开启关键点模型预测功能 WITH_KEYPOINT=ON # OPENCV_DIR 的路径 # linux平台请下载:https://bj.bcebos.com/paddleseg/deploy/opencv3.4.6gcc4.8ffmpeg...
build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain build:cuda --define=using_cuda=true --define=using_cuda_nvcc=true build --action_env PYTHON_BIN_PATH="/home/pyenv/.pyenv/versions/tensorflow-serving/bin/python"build --define PYTHON_BIN_PATH=/home/pyenv/.pyenv/versions/tensor...
-- FFMPEG: YES (prebuilt binaries) -- avcodec: YES (58.134.100) -- avformat: YES (58.76.100) -- avutil: YES (56.70.100) -- swscale: YES (5.9.100) -- avresample: YES (4.0.0) -- GStreamer: NO -- DirectShow: YES -- Media Foundation: YES ...
-- CUDA --device-c : OFF-- USE_TENSORRT : OFF-- USE_ROCM : OFF-- USE_EIGEN_FOR_BLAS : ON-- USE_FBGEMM : ON-- USE_FAKELOWP : OFF-- USE_KINETO : ON-- USE_FFMPEG : OFF-- USE_GFLAGS : OFF-- USE_GLOG : OFF-- USE_LEVELDB : OFF...