La organización OpenMMLab en GitHub se centra en el desarrollo de herramientas para la visión por computadora y la generación de audio. Sus repositorios más destacados incluyen mmdetection y mmsegmentation, que utilizan principalmente lenguajes como Python y Jupyter Notebook, contribuyendo a una amplia gama de proyectos en el ámbito de la inteligencia artificial.
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
OpenMMLab Pose Estimation Toolbox and Benchmark.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
OpenMMLab Computer Vision Foundation
OpenMMLab's next-generation platform for general 3D object detection.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
OpenMMLab Text Detection, Recognition and Understanding Toolbox
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
OpenMMLab Pre-training Toolbox and Benchmark
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
OpenMMLab Model Deployment Framework
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
OpenMMLab Rotated Object Detection Toolbox and Benchmark
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
An open-source toolbox for action understanding based on PyTorch
OpenMMLab Model Compression Toolbox and Benchmark.
Multimodal-GPT
OpenMMLab Foundational Library for Training Deep Learning Models
OpenMMLab 3D Human Parametric Model Toolbox and Benchmark
Open-source toolbox for visual fashion analysis based on PyTorch
OpenMMLab course index and stuff
A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.
[ECCV 2024] PowerPaint, a versatile image inpainting model that supports text-guided object inpainting, object removal, image outpainting and shape-guided object inpainting with only a single model. 一个高质量多功能的图像修补模型,可以同时支持插入物体、移除物体、图像扩展、形状可控的物体生成,只需要一个模型
OpenMMLab optical flow toolbox and benchmark
[CVPR 2024] PIA, your Personalized Image Animator. Animate your images by text prompt, combing with Dreambooth, achieving stunning videos. PIA,你的个性化图像动画生成器,利用文本提示将图像变为奇妙的动画
OpenMMLab FewShot Learning Toolbox and Benchmark
[IJCV] FoleyCrafter: Bring Silent Videos to Life with Lifelike and Synchronized Sounds. AI拟音大师,给你的无声视频添加生动而且同步的音效 😝
StyleShot: A SnapShot on Any Style. 一款可以迁移任意风格到任意内容的模型,无需针对图片微调,即能生成高质量的个性风格化图片!
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PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.
Out-of-the-box Annotation Toolbox
MIM Installs OpenMMLab Packages
Extracting optical flow and frames
LabelBee is an annotation Library
A unified evaluation library for multiple machine learning libraries
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Live2Diff: A Pipeline that processes Live video streams by a uni-directional video Diffusion model.
[ECCV 2024] AnyControl, a multi-control image synthesis model that supports any combination of user provided control signals. 一个支持用户自由输入控制信号的图像生成模型,能够根据多种控制生成自然和谐的结果!
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Official repo for FaceShot: Bring Any Character into Life
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COCO API - Dataset @ http://cocodataset.org/
Latex style file to facilitate writing of technical papers
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PyTorch Sphinx Theme
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OpenMMLab desarrolla una variedad de herramientas y bibliotecas en GitHub, principalmente en el campo de la visión por computadora y la generación de audio. Sus proyectos incluyen mmdetection y mmsegmentation, que son ampliamente utilizados en la investigación y desarrollo.
OpenMMLab utiliza varios lenguajes de programación, siendo los más destacados Python, Jupyter Notebook, JavaScript y C++. Esto les permite crear herramientas versátiles y accesibles para la comunidad de desarrolladores e investigadores.
Sí, todos los repositorios de OpenMMLab son públicos en GitHub. Esto facilita el acceso y la colaboración de investigadores y desarrolladores que desean explorar o contribuir a sus proyectos, como mmagic y mmpose.
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