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English | 简体中文
FastDeploy Streamer (FDStreamer) is an AI multimedia stream processing framework that arranges functions such as AI inference, audio and video decoding, encoding, and streaming in the form of pipeline, to enable end-to-end optimization and deployment of AI applications.
The following figure is the architecture diagram of FDStreamer. The parts marked in green have been implemented, while the parts not marked are still under planning.
Install DeepStream 6.1.1 and dependencies manually,or use below docker:
docker pull nvcr.io/nvidia/deepstream:6.1.1-devel
Build FastDeploy, or download FastDeploy prebuilt libraries
Build Streamer
cd FastDeploy/streamer/
mkdir build && cd build/
# Download FastDeploy prebuilt libraries, please check `FastDeploy prebuilt libraries` above.
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-x.x.x.tgz
tar xvf fastdeploy-linux-x64-x.x.x.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-x.x.x
make -j
CMake Options:
Example | Brief |
---|---|
PP-YOLOE | Multiple input videos, PP-YOLOE object detection, NvTracker, Hardware codec, writing to mp4 file |
Video Decoder | Video decoding using GPU or CPU |
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Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》