1. 필요한 설치 도구
주의: 아래의 버전으로 반드시 설치해야한다. 버전이 다를 경우, 수많은 에러를 경험할 것이다.
1.1. CUDA Toolkit 11.5.0 (October 2021)
1.2. cuDNN v8.2.4 (September 2nd, 2021), for CUDA 11.4
1.3. OpenCV – 4.5.1
2. CUDA Toolkit 11.5.0 설치
2.1. 설치 파일 받기
https://developer.nvidia.com/cuda-toolkit-archive
CUDA Toolkit Archive
Previous releases of the CUDA Toolkit, GPU Computing SDK, documentation and developer drivers can be found using the links below. Please select the release you want from the list below, and be sure to check www.nvidia.com/drivers for more recent production
developer.nvidia.com
2.2. 설치 하기


3. cuDNN v8.2.4 (September 2nd, 2021), for CUDA 11.4 설치
3.1. 설치 파일 받기
https://docs.nvidia.com/deeplearning/cudnn/release-notes/
Release Notes :: NVIDIA Deep Learning cuDNN Documentation
NVIDIA CUDA Deep Neural Network (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. It provides highly tuned implementations of routines arising frequently in DNN applications. These release notes describe the key features, softwar
docs.nvidia.com
https://developer.nvidia.com/rdp/cudnn-archive
cuDNN Archive
NVIDIA cuDNN is a GPU-accelerated library of primitives for deep neural networks.
developer.nvidia.com
3.2. CUDA Toolkit 11.5.0 설치경로에 cuDNN v8.2.4 덮어쓰기

4. OpenCV – 4.5.1 설치
4.1. 설치 파일 받기
Releases - OpenCV
Become a Member Stay up to date on OpenCV and Computer Vision news Join our Newsletter
opencv.org
4.2. 설치 하기

끝.
'인공지능 > 이미지 인식' 카테고리의 다른 글
AlexeyAB/darknet Yolo v4, v3 and v2 for Windows - 학습 방법 (0) | 2022.02.20 |
---|---|
Error: cuDNN isn't found FWD algo for convolution. 해결 방법 (0) | 2022.01.28 |
AlexeyAB/darknet Yolo v4, v3 and v2 for Windows - 이미지 인식 (0) | 2022.01.23 |