Docker16 [Docker Window] LayoutFlow 실행해보기 일단 다음 깃 레포를 확인한다. https://github.com/JulianGuerreiro/LayoutFlow GitHub - JulianGuerreiro/LayoutFlow: LayoutFlow: Flow Matching for Layout Generation [Andrade Guerreiro et al., ECCV 2024]LayoutFlow: Flow Matching for Layout Generation [Andrade Guerreiro et al., ECCV 2024] - JulianGuerreiro/LayoutFlowgithub.com 여기서 다음과 같은 정보를 알 수 있다. 호호 그럼 docker hub 에서 cuda12.4, pytorch2.2.2 찾아보자.그런데 없는데...?htt.. 2025. 9. 1. mmdetection3 docker 사용해보기 https://mmcv.readthedocs.io/en/latest/get_started/installation.html위 사이트에서 version 에 맞는 torch 및 mmcv 를 확인하고 이에 맞는 도커 설정 이후 다음을 확인함 1. docker pull (V)docker pull pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel 2. docker run (V)docker run -itd --gpus all --restart always --name mm_gdino pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel /bin/bash 3. docker attach (V)docker attach mm_gdino 4. pakage installa.. 2025. 7. 12. [Docker] OV-DINO 데모 실행 (docker이용) OV-DINO 데모 돌려보기 도커를 받아서 그 안에서 OV-DINO 를 돌려보겠습니다. 깃헙 링크https://github.com/wanghao9610/OV-DINO GitHub - wanghao9610/OV-DINO: Official implementation of OV-DINO: Unified Open-Vocabulary Detection with Language-Aware SelectivOfficial implementation of OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion - wanghao9610/OV-DINOgithub.com 깃 레포에서 cuda 11.6 을 사용한다 하니 따르겠습니다. 1.. 2025. 7. 10. [Docker] elem2design 만들기 1. docker pulldocker pull pytorch/pytorch:2.5.1-cuda12.1-cudnn9-devel 2. docker run docker run -itd --gpus all --restart always --name e2d pytorch/pytorch:2.5.1-cuda12.1-cudnn9-devel /bin/bash 3. docker attach docker attach e2d 4. pakage installapt-get updateapt-get install -y gitapt-get install -y wgetapt-get install -y libgl1-mesa-glxapt-get install -y libglib2.0-0apt-get install -y libxcb-xin.. 2025. 7. 3. [docker] DIFT paper 리뷰 및 돌려보기 1. docker pull docker pull pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel 2. docker run docker run -itd --gpus all --restart always --name dift -v /data:/usr/src/data pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel /bin/bash docker run -itd --gpus all --restart always --name dift -v /mnt/d/data :/usr/src/data pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel /bin/bash 3. docker attach docker attach dift 4.. 2025. 6. 9. [Docker] Sam2.1 돌려보기 [linux] 1. docker pulldocker pull pytorch/pytorch:2.5.1-cuda12.1-cudnn9-devel 2. docker run docker run -itd --gpus all --restart always --name muse -v data:/usr/src/data pytorch/pytorch:2.5.1-cuda12.1-cudnn9-devel /bin/bash 3. docker attach docker attach muse 4. pakage installapt-get updateapt-get install -y gitapt-get install -y wgetapt-get install -y libgl1-mesa-glx apt-get install -y libglib2.0-0apt-.. 2025. 5. 13. 이전 1 2 3 다음
