Install mmcv, mmdetection on RTX30 series
Cuda toolkit version 11.0 and 11.1 have compatibility issues, it could make error when compiling cuda codes with RTX30 series. So my solution was in
HAN: Holistic Attention Network (ECCV 2020)
HAN: Holistic Attention Network (ECCV 2020)Single Image Super-Resolution via a Holistic Attention NetworkHolistic: 전체론의2018년쯤부터 RCAN 이후로는 대부분 기존의 Supe
LightGBM 소스코드로 설치하기 (Linux, RTX30)
RTX30을 쓸 때는 Tensorflow, Pytorch 등 cuda를 쓰는 다른 프레임워크들도 잘 작동 안했듯이 LightGBM도 설치할 때 오류가 발생하는 것처럼 보여서 그냥 소스코드에서 직접 빌드해서 쓰기로 했다.그리고 CUDA 11.0 이상의 버전이 설치되어 있
imwheel setting
Update /etc/X11/imwheel/startup.confhttps://devlog.jwgo.kr/2019/01/31/imwheel-and-what-is-X11/
SSHFS on Windows
https://hbesthee.tistory.com/1567 채윤이네집WinFSPhttps://github.com/billziss-gh/winfsp/releases/tag/v1.8SSHFShttps://github.com/billziss-gh
Serial Communication using Python Linux through BLE with Arduino HC-06
Bluetooth settings Turn on PC and Bluetooth module. Update HC-06 BLE name and pin numbers(Search about HC-06 command) Connect to the bluetooth with
Ubuntu clear and refresh DNS cache
Changing docker root directory
Edit file /lib/systemd/system/docker.serviceAttach -g /docker after ExecStart=/usr/bin/dockerd -H fd:// --containerd=/run/containerd/containerd.sock
opencv cmake 모음
https://answers.opencv.org/question/65178/install-multiple-versions-of-opencv-on-ubuntu/DERS 할 때 씀