opencv guda 编译以及环境配置
vs2017编译opencv出现 未定义标识符“_m512i“
Windows10+VS2017+cmake 编译opencv4.1 + opencv_contrib(含cuda)
Nvida GEforce GTX 1650支持CUDA吗？
支持。
Both the GTX 1050ti and GTX 1650 support CUDA, and either is new enough to be supported by TensorFlow. The 1050ti has compute capability (CC) 6.1 and the 1650 has CC 7.5. Tensorflow currently requires CC 3.5. If you are planning to run training (rather than just inference), you will want to make sure the frame buffer is large enough to support your models of interest.
详见：
https://devtalk.nvidia.com/default/topic/1056611/container-tensorflow/does-gtx-1050ti-or-1650-for-notebook-support-tensorflow-gpu/
https://en.wikipedia.org/wiki/CUDA#GPUs_supported
OpenCV4.3.0版本DNN模块使用CUDA加速教程（Window10&VS2019）
vs2017+cuda10..02+cudnn7.6.5+opencv4.4+opencv_contribute编译
Win10+VS2017+opencv3.4+cuda9.2配置
opencv+CUDA9.1+vs2015环境搭建，编译opencv库，调用GPU加速运算
