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Yolov5 inference on NVDec hardware decoder

Shell 0.04% C++ 96.18% C 2.51% Cuda 1.09% Makefile 0.10% CMake 0.08%

hard_decode_trt's Introduction

硬件解码配合TensorRT

  • 配置tensorRT一样的环境
  • 增加NVDEC和ffmpeg的配置
  • make yolo -j64
    • Yolo和硬件解码直接对接
  • make demuxer -j64
    • 仅仅解封装得到h264的包,并分析是什么帧
  • make hard_decode -j64
    • 硬件解码测试
  • 软解码和硬解码,分别消耗cpu和gpu资源。在多路,大分辨率下体现明显
  • 硬件解码和推理可以允许跨显卡
  • 理解并善于利用的时候,他才可能发挥最大的效果

hard_decode_trt's People

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