OpenMMLab18 MMCV 시작하기 Introduction※ MMCV는 컴퓨터 비전 연구를 위한 기본 라이브러리(foundational library)이다.Data ProcessVisualizationData TransformationVarious CNN ArchitecturesHigh-quality Implementation of Common CUDA Ops ▶ MMCV는 다양한 리서치 프로젝트를 지원한다:MMClassification: OpenMMLab image classification toolbox and benchmark.MMDetection: OpenMMLab detection toolbox and benchmark.MMDetection3D: OpenMMLab’s next-generation platform for genera.. 2024. 6. 20. OpenMMLab 이란? OpenMMLab컴퓨터 비전 연구 및 개발을 위한 오픈소스 프로젝트다양한 컴퓨터 비전 알고리즘, 모델을 포함하는 라이브러리 및 프레임워크를 제공한다. 1. Deep Learning Framework (딥러닝 프레임워크)▶ Deep Learning Framework: 신경망 모델을 설계, 학습, 평가 및 배포하기 위한 소프트웨어 라이브러리 ▶ PyTorch:Facebook AI Research(FAIR)에서 개발한 오픈소스 딥러닝 프레임워크로, 연구자와 개발자가 신경망 모델을 설계하고 학습하며 평가하는 과정을 쉽게 할 수 있도록 다양한 도구와 라이브러리를 제공한다.동적 계산 그래프 - 코드 작성과 디버깅이 용이하며, 실험적으로 새로운 네트워크 구조를 빠르게 테스트할 수 있다.Pythonic - Python.. 2024. 6. 19. [MMDetection] General Object detection with MMDetection 3.0 https://www.youtube.com/watch?v=qmmlRUMbb9M&t=1s mmdetection/demo/MMDet_InstanceSeg_Tutorial.ipynb at 3.x · open-mmlab/mmdetectionOpenMMLab Detection Toolbox and Benchmark. Contribute to open-mmlab/mmdetection development by creating an account on GitHub.github.com 2024. 6. 18. [OpenMMLab] Open-source Platform for Vision, Language and Generative AI https://www.youtube.com/watch?v=08wf0xYhc9A OpenMMLab: Open-source Platform for Vision, Language and Generative AI From Computer Vision to Language 2024. 6. 18. [OpenMMLab] OpenMMLab 2.0: A General, Unified and Flexible Open-source Algorithm Platform https://www.youtube.com/watch?v=s7jH_p4YiJs OpenMMLab: A Foundational Platform for Computer Vision Research and Production 2024. 6. 18. [OpenMMLab] Basic usage and overall architecture of OpenMMLab https://www.youtube.com/watch?v=bACLDnjPhjc&t=1388s Basic usage and overall architecture of OpenMMLab 1. Installation 2. Inference https://github.com/open-mmlab/mmdetection/blob/3.x/demo/inference_demo.ipynb mmdetection/demo/inference_demo.ipynb at 3.x · open-mmlab/mmdetectionOpenMMLab Detection Toolbox and Benchmark. Contribute to open-mmlab/mmdetection development by creating an account on Git.. 2024. 6. 18. [OpenMMLab] Overall introduction to OpenMMLab https://www.youtube.com/watch?v=eRHn2hbV5rY OpenMMLab: A Foundational Platform for Computer Vision Research and Production 2024. 6. 18. [OpenMMLab] Tutorial on OpenMMLab https://www.youtube.com/watch?v=GuEjF4G1L3w&t=6sOverview Major Repositories in OpenMMLab Tutorial 0: Setup Environment Tutorial 1: MMClassification- configs 폴더 --> 여러 모델 폴더 저장되어 있음- 모델 폴더 선택 --> "config", "model" 다운로드 Config File examples/mnist/main.py at main · pytorch/examplesA set of examples around pytorch in Vision, Text, Reinforcement Learning, etc. - pytorch/examplesgithub.com 2024. 6. 18. [MMPose] Installation Step 0. Miniconda 설치하기 Step 1. Conda 가상환경 만들기Anaconda Powershell Promptconda create --name MMenv python=3.8 -yconda activate MMenv Step 2. PyTorch 설치하기※ CPU 플랫폼conda install pytorch torchvision cpuonly -c pytorch Step 3. MIM 이용하여 MMEngine, MMCV, MMDetection 설치하기명령 프롬프트conda activate MMenvpip install -U openmim Anaconda Powershell Promptmim install mmenginemim install "mmcv>=2.0.1"mim install "mm.. 2024. 6. 14. 이전 1 2 다음
