16、window11+visual studio 2022+cuda+ffmpeg进行拉流和解码（RTX3050）

基本思想：需要一个window11 下的gpu的编码和解码代码，逐开发使用，先上个图

几乎0延迟的，使用笔记本的显卡

C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.0\extras\demo_suite>deviceQuery.exe
deviceQuery.exe Starting...
 
 CUDA Device Query (Runtime API) version (CUDART static linking)
 
Detected 1 CUDA Capable device(s)
 
Device 0: "NVIDIA GeForce RTX 3050 Laptop GPU"
  CUDA Driver Version / Runtime Version          12.0 / 12.0
  CUDA Capability Major/Minor version number:    8.6
  Total amount of global memory:                 4096 MBytes (4294443008 bytes)
  (16) Multiprocessors, (128) CUDA Cores/MP:     2048 CUDA Cores
  GPU Max Clock rate:                            1500 MHz (1.50 GHz)
  Memory Clock rate:                             6001 Mhz
  Memory Bus Width:                              128-bit
  L2 Cache Size:                                 15728